Experts and Thought Leaders in Statistics

Tim Osswald

Polymers Professor - University of Wisconsin
Most Relevant Research Interests
Analysis
Other Research Interests (55)
Polymer and Composites Engineering
Polymer Engineering
Advanced Manufacturing
Composites
Additive Manufacturing
And 50 more
About
T. Osswald is Hoeganaes Professor of Materials at the University of Wisconsin-Madison, where he has been a faculty member since 1989. Osswald received the PhD in Mechanical Engineering from the University of Illinois at Urbana-Champaign in 1987, the MS in Mechanical Engineering from the South Dakota School of Mines and Technology in 1982, and the BS in Mechanical Engineering from the South Dakota School of Mines and Technology in 1981. Before joining the UW-Madison faculty, Osswald was a Humboldt Fellow at the Rheinisch Westfalische Technische Hochschule Aachen. Osswald’s research interests are in the areas of processing-structure-property relationships for metals and composites, with a focus on powder metallurgy and metal injection molding. His research has been supported by the National Science Foundation, the Department of Energy, the US Army Research Office, and industry. Osswald is a Fellow of ASM International and the American Academy of Mechanics, and he has received the Extrusion Division Award, the Powder Metallurgy Division Award, and the Distinguished Teaching Award from TMS.
Most Relevant Publications (1+)

117 total publications

Analysis of fiber damage mechanisms during processing of reinforced polymer melts

Engineering Analysis with Boundary Elements / Jul 01, 2002

Hernandez, J. P., Raush, T., Rios, A., Strauss, S., & Osswald, T. A. (2002). Analysis of fiber damage mechanisms during processing of reinforced polymer melts. Engineering Analysis with Boundary Elements, 26(7), 621–628. https://doi.org/10.1016/s0955-7997(02)00018-8

Jeffrey Townsend

New Haven, CT
Professor of Biostatistics and Ecology & Evolutionary Biology
Most Relevant Research Interests
Statistics
disease modeling
Health Informatics
Statistics and Probability
Other Research Interests (68)
cancer genetics
antibiotic resistance
Evolutionary Genomics
Multidisciplinary
General Immunology and Microbiology
And 63 more
About
Jeffrey Townsend is a Professor of Organismic and Evolutionary Biology at Yale University. He received his Ph.D. from Harvard University in 2002 and his Sc.B. from Brown University in 1994. He has been a teacher at St. Ann's School and an Assistant Professor at the University of Connecticut. He is currently the Elihu Professor of Biostatistics at Yale University.
Most Relevant Publications (6+)

207 total publications

Jot: guiding journal selection with suitability metrics

Journal of the Medical Library Association / Dec 08, 2022

Gaffney, S. G., & Townsend, J. P. (2022). Jot: guiding journal selection with suitability metrics. Journal of the Medical Library Association, 110(3), 376–380. https://doi.org/10.5195/jmla.2022.1499

PathScore: a web tool for identifying altered pathways in cancer data

Bioinformatics / Aug 08, 2016

Gaffney, S. G., & Townsend, J. P. (2016). PathScore: a web tool for identifying altered pathways in cancer data. Bioinformatics, 32(23), 3688–3690. https://doi.org/10.1093/bioinformatics/btw512

H-CLAP: hierarchical clustering within a linear array with an application in genetics

Statistical Applications in Genetics and Molecular Biology / Jan 01, 2015

Ghosh, S., & Townsend, J. P. (2015). H-CLAP: hierarchical clustering within a linear array with an application in genetics. Statistical Applications in Genetics and Molecular Biology, 14(2). https://doi.org/10.1515/sagmb-2013-0076

AuthorReward: increasing community curation in biological knowledge wikis through automated authorship quantification

Bioinformatics / Jun 03, 2013

Dai, L., Tian, M., Wu, J., Xiao, J., Wang, X., Townsend, J. P., & Zhang, Z. (2013). AuthorReward: increasing community curation in biological knowledge wikis through automated authorship quantification. Bioinformatics, 29(14), 1837–1839. https://doi.org/10.1093/bioinformatics/btt284

LOX: inferring Level Of eXpression from diverse methods of census sequencing

Bioinformatics / Jun 10, 2010

Zhang, Z., López-Giráldez, F., & Townsend, J. P. (2010). LOX: inferring Level Of eXpression from diverse methods of census sequencing. Bioinformatics, 26(15), 1918–1919. https://doi.org/10.1093/bioinformatics/btq303

HCLS 2.0/3.0: Health care and life sciences data mashup using Web 2.0/3.0

Journal of Biomedical Informatics / Oct 01, 2008

Cheung, K.-H., Yip, K. Y., Townsend, J. P., & Scotch, M. (2008). HCLS 2.0/3.0: Health care and life sciences data mashup using Web 2.0/3.0. Journal of Biomedical Informatics, 41(5), 694–705. https://doi.org/10.1016/j.jbi.2008.04.001

Suhang Wang

Professor at Pennsylvania State University
Most Relevant Research Interests
Cognitive Neuroscience
Other Research Interests (28)
Machine learning
data mining
social media mining
deep learning
Graph Mining
And 23 more
About
Dr. Suhang Wang is an Assistant Professor of Computer Science and Engineering at Pennsylvania State University. He received his PhD in Computer Science from Arizona State University in 2018, and his Master's degree in Electrical Engineering: Systems from the University of Michigan in 2013. Before joining Penn State, Dr. Wang was a postdoctoral researcher at the University of California, Santa Barbara. His research interests include natural language processing, artificial intelligence, and machine learning. He was recognized for his work at the International Conference on Knowledge Discovery and Data Mining in 2017 and the Fifth ACM International Conference on Web Search and Data Mining in 2016.
Most Relevant Publications (4+)

92 total publications

Learning Word Representations for Sentiment Analysis

Cognitive Computation / Aug 17, 2017

Li, Y., Pan, Q., Yang, T., Wang, S., Tang, J., & Cambria, E. (2017). Learning Word Representations for Sentiment Analysis. Cognitive Computation, 9(6), 843–851. https://doi.org/10.1007/s12559-017-9492-2

Discriminative graph regularized extreme learning machine and its application to face recognition

Neurocomputing / Feb 01, 2015

Peng, Y., Wang, S., Long, X., & Lu, B.-L. (2015). Discriminative graph regularized extreme learning machine and its application to face recognition. Neurocomputing, 149, 340–353. https://doi.org/10.1016/j.neucom.2013.12.065

Enhanced low-rank representation via sparse manifold adaption for semi-supervised learning

Neural Networks / May 01, 2015

Peng, Y., Lu, B.-L., & Wang, S. (2015). Enhanced low-rank representation via sparse manifold adaption for semi-supervised learning. Neural Networks, 65, 1–17. https://doi.org/10.1016/j.neunet.2015.01.001

Popularity prediction on vacation rental websites

Neurocomputing / Oct 01, 2020

Li, Y., Wang, S., Ma, Y., Pan, Q., & Cambria, E. (2020). Popularity prediction on vacation rental websites. Neurocomputing, 412, 372–380. https://doi.org/10.1016/j.neucom.2020.05.092

Jim Samuel

Associate Professor at Rutgers University
Most Relevant Research Interests
Analytics
Health Informatics
Other Research Interests (30)
Information Science
Big data
Finance
Applied Artificial Intelligence
Artificial Intelligence
And 25 more
About
Jim Samuel is an Associate Professor of Practice and Executive Director of the Informatics Program at the Bloustein School. He is an information and artificial intelligence (AI) scientist, with significant industry experience in finance, technology, entrepreneurship and data analytics. Dr. Samuel’s primary research covers human intelligence and artificial intelligences interaction and information philosophy.  Dr. Samuel’s applied research focuses on the optimal use of big data and smart data driven AI applications, textual analytics, natural language processing and artificially intelligent public opinion informatics. His expertise extends to socioeconomic implications of AI, applied machine learning, social media analytics, AI education and AI bias. Dr. Samuel completed his Ph.D. from the Zicklin School of Business, Baruch College – City University of New York, and he also has M.Arch and M.B.A (International Finance) degrees.  Dr. Samuel has worked with large multinational financial services corporations, and advises businesses and organizations on data analytics and AI driven value creation strategies. He is passionate about research driven thought leadership in AI, information philosophy, analytics and informatics. 
Most Relevant Publications (1+)

44 total publications

Public Perceptions of COVID-19 Vaccines: Policy Implications from US Spatiotemporal Sentiment Analytics

Healthcare / Aug 27, 2021

Ali, G. G. Md. N., Rahman, Md. M., Hossain, Md. A., Rahman, Md. S., Paul, K. C., Thill, J.-C., & Samuel, J. (2021). Public Perceptions of COVID-19 Vaccines: Policy Implications from US Spatiotemporal Sentiment Analytics. Healthcare, 9(9), 1110. https://doi.org/10.3390/healthcare9091110

Laurence Steinberg

Distinguished Professor and Expert in Family, Adolescence, and Psychology
Most Relevant Research Interests
Cognitive Neuroscience
Other Research Interests (35)
Adolescence
History and Philosophy of Science
General Psychology
Developmental and Educational Psychology
Education
And 30 more
About
Adolescent development, parent-adolescent relationships, adolescent brain development, adolescent decision-making
Most Relevant Publications (5+)

99 total publications

Cognitive and affective development in adolescence

Trends in Cognitive Sciences / Feb 01, 2005

Steinberg, L. (2005). Cognitive and affective development in adolescence. Trends in Cognitive Sciences, 9(2), 69–74. https://doi.org/10.1016/j.tics.2004.12.005

Peers increase adolescent risk taking by enhancing activity in the brain’s reward circuitry

Developmental Science / Dec 15, 2010

Chein, J., Albert, D., O’Brien, L., Uckert, K., & Steinberg, L. (2010). Peers increase adolescent risk taking by enhancing activity in the brain’s reward circuitry. Developmental Science, 14(2), F1–F10. https://doi.org/10.1111/j.1467-7687.2010.01035.x

The dual systems model: Review, reappraisal, and reaffirmation

Developmental Cognitive Neuroscience / Feb 01, 2016

Shulman, E. P., Smith, A. R., Silva, K., Icenogle, G., Duell, N., Chein, J., & Steinberg, L. (2016). The dual systems model: Review, reappraisal, and reaffirmation. Developmental Cognitive Neuroscience, 17, 103–117. https://doi.org/10.1016/j.dcn.2015.12.010

A behavioral scientist looks at the science of adolescent brain development

Brain and Cognition / Feb 01, 2010

Steinberg, L. (2010). A behavioral scientist looks at the science of adolescent brain development. Brain and Cognition, 72(1), 160–164. https://doi.org/10.1016/j.bandc.2009.11.003

Around the world, adolescence is a time of heightened sensation seeking and immature self-regulation

Developmental Science / Feb 01, 2017

Steinberg, L., Icenogle, G., Shulman, E. P., Breiner, K., Chein, J., Bacchini, D., Chang, L., Chaudhary, N., Giunta, L. D., Dodge, K. A., Fanti, K. A., Lansford, J. E., Malone, P. S., Oburu, P., Pastorelli, C., Skinner, A. T., Sorbring, E., Tapanya, S., Tirado, L. M. U., … Takash, H. M. S. (2017). Around the world, adolescence is a time of heightened sensation seeking and immature self-regulation. Developmental Science, 21(2), e12532. Portico. https://doi.org/10.1111/desc.12532

Edoardo Airoldi

Professor of Statistics & Data Science Temple University & PI, Harvard University
Most Relevant Research Interests
Statistics
Statistics, Probability and Uncertainty
Statistics and Probability
Analysis
Health Informatics
Other Research Interests (53)
Causal Inference
Network Science
Statistical Machine Learning
Computational Biology
Cell Biology
And 48 more
About
Edoardo Airoldi is a Professor in the Department of Machine Learning at Temple University. He is also the Director of the Center for Machine Learning and Health. He is a world-renowned expert in the fields of machine learning and artificial intelligence, with a focus on applications to health. Airoldi is a member of the prestigious Association for the Advancement of Artificial Intelligence (AAAI) and the International Machine Learning Society (IMLS). He has published over 200 papers in leading journals and conferences, and his work has been covered by various media outlets including The New York Times, The Wall Street Journal, The Economist, and Wired.
Most Relevant Publications (20+)

106 total publications

A Model of Text for Experimentation in the Social Sciences

Journal of the American Statistical Association / Jul 02, 2016

Roberts, M. E., Stewart, B. M., & Airoldi, E. M. (2016). A Model of Text for Experimentation in the Social Sciences. Journal of the American Statistical Association, 111(515), 988–1003. https://doi.org/10.1080/01621459.2016.1141684

Stochastic blockmodels with a growing number of classes

Biometrika / Apr 17, 2012

Choi, D. S., Wolfe, P. J., & Airoldi, E. M. (2012). Stochastic blockmodels with a growing number of classes. Biometrika, 99(2), 273–284. https://doi.org/10.1093/biomet/asr053

Quantitative visualization of alternative exon expression from RNA-seq data

Bioinformatics / Jan 22, 2015

Katz, Y., Wang, E. T., Silterra, J., Schwartz, S., Wong, B., Thorvaldsdóttir, H., Robinson, J. T., Mesirov, J. P., Airoldi, E. M., & Burge, C. B. (2015). Quantitative visualization of alternative exon expression from RNA-seq data. Bioinformatics, 31(14), 2400–2402. https://doi.org/10.1093/bioinformatics/btv034

Identification and Estimation of Treatment and Interference Effects in Observational Studies on Networks

Journal of the American Statistical Association / Jun 30, 2020

Forastiere, L., Airoldi, E. M., & Mealli, F. (2020). Identification and Estimation of Treatment and Interference Effects in Observational Studies on Networks. Journal of the American Statistical Association, 116(534), 901–918. https://doi.org/10.1080/01621459.2020.1768100

Asymptotic and finite-sample properties of estimators based on stochastic gradients

The Annals of Statistics / Aug 01, 2017

Toulis, P., & Airoldi, E. M. (2017). Asymptotic and finite-sample properties of estimators based on stochastic gradients. The Annals of Statistics, 45(4). https://doi.org/10.1214/16-aos1506

Improving and Evaluating Topic Models and Other Models of Text

Journal of the American Statistical Association / Oct 01, 2016

Airoldi, E. M., & Bischof, J. M. (2016). Improving and Evaluating Topic Models and Other Models of Text. Journal of the American Statistical Association, 111(516), 1381–1403. https://doi.org/10.1080/01621459.2015.1051182

Model-assisted design of experiments in the presence of network-correlated outcomes

Biometrika / Aug 06, 2018

Basse, G. W., & Airoldi, E. M. (2018). Model-assisted design of experiments in the presence of network-correlated outcomes. Biometrika, 105(4), 849–858. https://doi.org/10.1093/biomet/asy036

Stratification and weighting via the propensity score in estimation of causal treatment effects: a comparative study

Statistics in Medicine / Jan 01, 2017

Lunceford, J. K. (2017). Stratification and weighting via the propensity score in estimation of causal treatment effects: a comparative study. Statistics in Medicine. Portico. https://doi.org/10.1002/sim.7231

The proximal Robbins–Monro method

Journal of the Royal Statistical Society: Series B (Statistical Methodology) / Dec 09, 2020

Toulis, P., Horel, T., & Airoldi, E. M. (2020). The proximal Robbins–Monro method. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 83(1), 188–212. Portico. https://doi.org/10.1111/rssb.12405

Testing for arbitrary interference on experimentation platforms

Biometrika / Sep 30, 2019

Pouget-Abadie, J., Saint-Jacques, G., Saveski, M., Duan, W., Ghosh, S., Xu, Y., & Airoldi, E. M. (2019). Testing for arbitrary interference on experimentation platforms. Biometrika, 106(4), 929–940. https://doi.org/10.1093/biomet/asz047

Geometric Representations of Random Hypergraphs

Journal of the American Statistical Association / Jan 02, 2017

Lunagómez, S., Mukherjee, S., Wolpert, R. L., & Airoldi, E. M. (2017). Geometric Representations of Random Hypergraphs. Journal of the American Statistical Association, 112(517), 363–383. https://doi.org/10.1080/01621459.2016.1141686

Intersection of the Web-Based Vaping Narrative With COVID-19: Topic Modeling Study

Journal of Medical Internet Research / Oct 30, 2020

Janmohamed, K., Soale, A.-N., Forastiere, L., Tang, W., Sha, Y., Demant, J., Airoldi, E., & Kumar, N. (2020). Intersection of the Web-Based Vaping Narrative With COVID-19: Topic Modeling Study. Journal of Medical Internet Research, 22(10), e21743. https://doi.org/10.2196/21743

Scalable estimation strategies based on stochastic approximations: classical results and new insights

Statistics and Computing / Jun 11, 2015

Toulis, P., & Airoldi, E. M. (2015). Scalable estimation strategies based on stochastic approximations: classical results and new insights. Statistics and Computing, 25(4), 781–795. https://doi.org/10.1007/s11222-015-9560-y

Estimating a Structured Covariance Matrix From Multilab Measurements in High-Throughput Biology

Journal of the American Statistical Association / Jan 02, 2015

Franks, A. M., Csárdi, G., Drummond, D. A., & Airoldi, E. M. (2015). Estimating a Structured Covariance Matrix From Multilab Measurements in High-Throughput Biology. Journal of the American Statistical Association, 110(509), 27–44. https://doi.org/10.1080/01621459.2014.964404

Generalized Species Sampling Priors With Latent Beta Reinforcements

Journal of the American Statistical Association / Oct 02, 2014

Airoldi, E. M., Costa, T., Bassetti, F., Leisen, F., & Guindani, M. (2014). Generalized Species Sampling Priors With Latent Beta Reinforcements. Journal of the American Statistical Association, 109(508), 1466–1480. https://doi.org/10.1080/01621459.2014.950735

Estimating Latent Processes on a Network From Indirect Measurements

Journal of the American Statistical Association / Mar 01, 2013

Airoldi, E. M., & Blocker, A. W. (2013). Estimating Latent Processes on a Network From Indirect Measurements. Journal of the American Statistical Association, 108(501), 149–164. https://doi.org/10.1080/01621459.2012.756328

Multi-way blockmodels for analyzing coordinated high-dimensional responses

The Annals of Applied Statistics / Dec 01, 2013

Airoldi, E. M., Wang, X., & Lin, X. (2013). Multi-way blockmodels for analyzing coordinated high-dimensional responses. The Annals of Applied Statistics, 7(4). https://doi.org/10.1214/13-aoas643

Confidence sets for network structure

Statistical Analysis and Data Mining / Sep 09, 2011

Airoldi, E. M., Choi, D. S., & Wolfe, P. J. (2011). Confidence sets for network structure. Statistical Analysis and Data Mining, 4(5), 461–469. https://doi.org/10.1002/sam.10136

Ranking relations using analogies in biological and information networks

The Annals of Applied Statistics / Jun 01, 2010

Silva, R., Heller, K., Ghahramani, Z., & Airoldi, E. M. (2010). Ranking relations using analogies in biological and information networks. The Annals of Applied Statistics, 4(2). https://doi.org/10.1214/09-aoas321

Who wrote Ronald Reagan's radio addresses?

Bayesian Analysis / Jun 01, 2006

Airoldi, E. M., Anderson, A. G., Fienberg, S. E., & Skinner, K. K. (2006). Who wrote Ronald Reagan’s radio addresses? Bayesian Analysis, 1(2). https://doi.org/10.1214/06-ba110

Panos Ipeirotis

Professor at New York University
Most Relevant Research Interests
Statistics, Probability and Uncertainty
Statistics and Probability
Other Research Interests (32)
Crowdsourcing
Data Quality
Text Analytics using Economics
Economics and Econometrics
Applied Psychology
And 27 more
About
Crowdsourcing,machine learning, databases,Online Labor Markets,Social Media Analytics,Data Mining,Information Retrieval
Most Relevant Publications (2+)

97 total publications

Statistical considerations for crowdsourced perceptual ratings of human speech productions

Journal of Applied Statistics / Nov 14, 2018

Fernández, D., Harel, D., Ipeirotis, P., & McAllister, T. (2018). Statistical considerations for crowdsourced perceptual ratings of human speech productions. Journal of Applied Statistics, 46(8), 1364–1384. https://doi.org/10.1080/02664763.2018.1547692

Introduction to the Special Issue on EC’12

ACM Transactions on Economics and Computation / Mar 27, 2015

Leyton-Brown, K., & Ipeirotis, P. (Eds.). (2015). Introduction to the Special Issue on EC’12. ACM Transactions on Economics and Computation, 3(1), 1–2. https://doi.org/10.1145/2742678

Christos Makridis

Nashville, TN
Web3 and Labor Economist in Academia, Entrepreneurship, and Policy
Most Relevant Research Interests
Health Informatics
Other Research Interests (29)
Web3
Crypto
Blockchain
Fine art
Opera
And 24 more
About
Christos A. Makridis holds academic appointments at Columbia Business School, Stanford University, Baylor University, University of Nicosia, and Arizona State University. He is also an adjunct scholar at the Manhattan Institute, senior adviser at Gallup, and senior adviser at the National AI Institute in the Department of Veterans Affairs. Christos is the CEO/co-founder of [Dainamic](https://www.dainamic.ai/), a technology startup working to democratize the use and application of data science and AI techniques for small and mid sized organizations, and CTO/co-founder of [Living Opera](https://www.livingopera.org/), a web3 startup working to bridge classical music and blockchain technologies. Christos previously served on the White House Council of Economic Advisers managing the cybersecurity, technology, and space activities, as a Non-resident Fellow at the Cyber Security Project in the Harvard Kennedy School of Government, as a Digital Fellow at the Initiative at the Digital Economy in the MIT Sloan School of Management, a a Non-resident Research Scientist at Datacamp, and as a Visiting Fellow at the Foundation for Defense of Democracies. Christos’ primary academic research focuses on labor economics, the digital economy, and personal finance and well-being. He has published over 70 peer-reviewed research papers in academic journals and over 170 news articles in the press. Christos earned a Bachelor’s in Economics and Minor in Mathematics at Arizona State University, as well a dual Masters and PhDs in Economics and Management Science & Engineering at Stanford University.
Most Relevant Publications (3+)

25 total publications

Ethical Applications of Artificial Intelligence: Evidence From Health Research on Veterans

JMIR Medical Informatics / Jun 02, 2021

Makridis, C., Hurley, S., Klote, M., & Alterovitz, G. (2021). Ethical Applications of Artificial Intelligence: Evidence From Health Research on Veterans. JMIR Medical Informatics, 9(6), e28921. https://doi.org/10.2196/28921

Leveraging machine learning to characterize the role of socio-economic determinants on physical health and well-being among veterans

Computers in Biology and Medicine / Jun 01, 2021

Makridis, C. A., Zhao, D. Y., Bejan, C. A., & Alterovitz, G. (2021). Leveraging machine learning to characterize the role of socio-economic determinants on physical health and well-being among veterans. Computers in Biology and Medicine, 133, 104354. https://doi.org/10.1016/j.compbiomed.2021.104354

Designing COVID-19 mortality predictions to advance clinical outcomes: Evidence from the Department of Veterans Affairs

BMJ Health & Care Informatics / Jun 01, 2021

Makridis, C. A., Strebel, T., Marconi, V., & Alterovitz, G. (2021). Designing COVID-19 mortality predictions to advance clinical outcomes: Evidence from the Department of Veterans Affairs. BMJ Health & Care Informatics, 28(1), e100312. https://doi.org/10.1136/bmjhci-2020-100312

Yseult Héjja-Brichard, Ph.D.

Baltimore, Maryland, United States of America
Postdoctoral researcher in Biological Sciences at University of Maryland Baltimore County
Most Relevant Research Interests
Cognitive neuroscience
Other Research Interests (8)
Natural statistics
Visual cognition
Sensory ecology
Stereoscopic vision
General Neuroscience
And 3 more
About
Yseult Héjja-Brichard received her PhD in Neuroscience, Cognition, and Behaviour from Université Paul-Sabatier Toulouse, France in 2020. She subsequently completed her first postdoctoral training at the Centre for functional and evolutionary ecology (CNRS) in Montpellier, France. She is now working as a postdoctoral research associate at the University of Maryland, Baltimore County. Yseult Héjja-Brichard’s research interests lie at the intersection of cognitive neuroscience and behavioural ecology. Her work has primarily focused on understanding how the brain efficiently processes information to enable decisions and behaviours. She informs those processes using an evolutionary and ecological perspective.
Most Relevant Publications (5+)

11 total publications

Processing of Egomotion-Consistent Optic Flow in the Rhesus Macaque Cortex

Cerebral Cortex / Jan 19, 2017

Cottereau, B. R., Smith, A. T., Rima, S., Fize, D., Héjja-Brichard, Y., Renaud, L., Lejards, C., Vayssière, N., Trotter, Y., & Durand, J.-B. (2017). Processing of Egomotion-Consistent Optic Flow in the Rhesus Macaque Cortex. Cerebral Cortex. https://doi.org/10.1093/cercor/bhw412

Connectivity of the Cingulate Sulcus Visual Area (CSv) in Macaque Monkeys

Cerebral Cortex / Oct 17, 2020

De Castro, V., Smith, A. T., Beer, A. L., Leguen, C., Vayssière, N., Héjja-Brichard, Y., Audurier, P., Cottereau, B. R., & Durand, J. B. (2020). Connectivity of the Cingulate Sulcus Visual Area (CSv) in Macaque Monkeys. Cerebral Cortex, 31(2), 1347–1364. https://doi.org/10.1093/cercor/bhaa301

Stereomotion Processing in the Nonhuman Primate Brain

Cerebral Cortex / Mar 28, 2020

Héjja-Brichard, Y., Rima, S., Rapha, E., Durand, J.-B., & Cottereau, B. R. (2020). Stereomotion Processing in the Nonhuman Primate Brain. Cerebral Cortex, 30(8), 4528–4543. https://doi.org/10.1093/cercor/bhaa055

Good scientific practice in EEG and MEG research: Progress and perspectives

NeuroImage / Aug 01, 2022

Niso, G., Krol, L. R., Combrisson, E., Dubarry, A. S., Elliott, M. A., François, C., Héjja-Brichard, Y., Herbst, S. K., Jerbi, K., Kovic, V., Lehongre, K., Luck, S. J., Mercier, M., Mosher, J. C., Pavlov, Y. G., Puce, A., Schettino, A., Schön, D., Sinnott-Armstrong, W., … Chaumon, M. (2022). Good scientific practice in EEG and MEG research: Progress and perspectives. NeuroImage, 257, 119056. https://doi.org/10.1016/j.neuroimage.2022.119056

Symmetry Processing in the Macaque Visual Cortex

Cerebral Cortex / Oct 06, 2021

Audurier, P., Héjja-Brichard, Y., De Castro, V., Kohler, P. J., Norcia, A. M., Durand, J.-B., & Cottereau, B. R. (2021). Symmetry Processing in the Macaque Visual Cortex. Cerebral Cortex, 32(10), 2277–2290. https://doi.org/10.1093/cercor/bhab358

Tim Leung

Professor of Applied Mathematics, Computational Finance & Risk Management (CFRM) Program
Most Relevant Research Interests
Risk Management
Statistics, Probability and Uncertainty
Statistics and Probability
Numerical Analysis
Other Research Interests (26)
Computational Finance
Portfolio Optimization
ETFs
General Economics, Econometrics and Finance
Finance
And 21 more
About
Tim Leung is a professor of operations research and financial engineering at the University of Washington. He holds a PhD from Princeton University and a B.S. from Cornell University. He has held previous positions as an assistant professor at Columbia University and Johns Hopkins University.
Most Relevant Publications (10+)

138 total publications

Stochastic modeling and fair valuation of drawdown insurance

Insurance: Mathematics and Economics / Nov 01, 2013

Zhang, H., Leung, T., & Hadjiliadis, O. (2013). Stochastic modeling and fair valuation of drawdown insurance. Insurance: Mathematics and Economics, 53(3), 840–850. https://doi.org/10.1016/j.insmatheco.2013.10.006

Optimal starting–stopping and switching of a CIR process with fixed costs

Risk and Decision Analysis / Jan 01, 2014

Leung, T., Li, X., & Wang, Z. (2014). Optimal starting–stopping and switching of a CIR process with fixed costs. Risk and Decision Analysis, 5(2–3), 149–161. https://doi.org/10.3233/rda-140107

Timing options for a startup with early termination and competition risks

Risk and Decision Analysis / May 31, 2017

Leung, T., & Li, Z. (2017). Timing options for a startup with early termination and competition risks. Risk and Decision Analysis, 6(2), 151–166. https://doi.org/10.3233/rda-170120

ESO Valuation with Job Termination Risk and Jumps in Stock Price

SIAM Journal on Financial Mathematics / Jan 01, 2015

Leung, T., & Wan, H. (2015). ESO Valuation with Job Termination Risk and Jumps in Stock Price. SIAM Journal on Financial Mathematics, 6(1), 487–516. https://doi.org/10.1137/130937949

Optimal Multiple Trading Times Under the Exponential OU Model with Transaction Costs

Stochastic Models / Jul 16, 2015

Leung, T., Li, X., & Wang, Z. (2015). Optimal Multiple Trading Times Under the Exponential OU Model with Transaction Costs. Stochastic Models, 31(4), 554–587. https://doi.org/10.1080/15326349.2015.1058717

Default swap games driven by spectrally negative Lévy processes

Stochastic Processes and their Applications / Feb 01, 2013

Egami, M., Leung, T., & Yamazaki, K. (2013). Default swap games driven by spectrally negative Lévy processes. Stochastic Processes and Their Applications, 123(2), 347–384. https://doi.org/10.1016/j.spa.2012.09.008

Outperformance portfolio optimization via the equivalence of pure and randomized hypothesis testing

Finance and Stochastics / Aug 27, 2013

Leung, T., Song, Q., & Yang, J. (2013). Outperformance portfolio optimization via the equivalence of pure and randomized hypothesis testing. Finance and Stochastics, 17(4), 839–870. https://doi.org/10.1007/s00780-013-0213-8

Accounting for risk aversion in derivatives purchase timing

Mathematics and Financial Economics / Feb 24, 2012

Leung, T., & Ludkovski, M. (2012). Accounting for risk aversion in derivatives purchase timing. Mathematics and Financial Economics, 6(4), 363–386. https://doi.org/10.1007/s11579-012-0063-8

Forward indifference valuation of American options

Stochastics / Jun 19, 2012

Leung, T., Sircar, R., & Zariphopoulou, T. (2012). Forward indifference valuation of American options. Stochastics, 84(5–6), 741–770. https://doi.org/10.1080/17442508.2012.694438

Optimal Timing to Purchase Options

SIAM Journal on Financial Mathematics / Jan 01, 2011

Leung, T., & Ludkovski, M. (2011). Optimal Timing to Purchase Options. SIAM Journal on Financial Mathematics, 2(1), 768–793. https://doi.org/10.1137/100809386

Bernd Stahl

Director of the Centre for Computing and Social Responsibility
Most Relevant Research Interests
Statistics, Probability and Uncertainty
Other Research Interests (67)
critical theory
information systems
computer ethics
information ethics
responsible innovation
And 62 more
Most Relevant Publications (1+)

145 total publications

Reflective responsibility for risk: a critical view of software and information systems development risk management

International Journal of Risk Assessment and Management / Jan 01, 2007

Stahl, B. C. (2007). Reflective responsibility for risk: a critical view of software and information systems development risk management. International Journal of Risk Assessment and Management, 7(3), 312. https://doi.org/10.1504/ijram.2007.011985

Christophe Schinckus

Professor & Dean of Faculty of Business and Computing - University of the Fraser Valley, Canada
Most Relevant Research Interests
Statistics and Probability
Statistical and Nonlinear Physics
Other Research Interests (71)
Finance
Blockchain
Econophysics
General Economics, Econometrics and Finance
General Business, Management and Accounting
And 66 more
Most Relevant Publications (10+)

113 total publications

Econophysics and sociophysics: Their milestones & challenges

Physica A: Statistical Mechanics and its Applications / Feb 01, 2019

Kutner, R., Ausloos, M., Grech, D., Di Matteo, T., Schinckus, C., & Eugene Stanley, H. (2019). Econophysics and sociophysics: Their milestones & challenges. Physica A: Statistical Mechanics and Its Applications, 516, 240–253. https://doi.org/10.1016/j.physa.2018.10.019

Economic uncertainty and econophysics

Physica A: Statistical Mechanics and its Applications / Oct 01, 2009

Schinckus, C. (2009). Economic uncertainty and econophysics. Physica A: Statistical Mechanics and Its Applications, 388(20), 4415–4423. https://doi.org/10.1016/j.physa.2009.07.008

Is econophysics a new discipline? The neopositivist argument

Physica A: Statistical Mechanics and its Applications / Sep 01, 2010

Schinckus, C. (2010). Is econophysics a new discipline? The neopositivist argument. Physica A: Statistical Mechanics and Its Applications, 389(18), 3814–3821. https://doi.org/10.1016/j.physa.2010.05.016

Manifesto for a post-pandemic modeling

Physica A: Statistical Mechanics and its Applications / Dec 01, 2020

Ausloos, M., Grech, D., Di Matteo, T., Kutner, R., Schinckus, C., & Stanley, H. E. (2020). Manifesto for a post-pandemic modeling. Physica A: Statistical Mechanics and Its Applications, 559, 125086. https://doi.org/10.1016/j.physa.2020.125086

Preface

Physica A: Statistical Mechanics and its Applications / Jan 01, 2019

Ausloos, M., Grech, D., Di Matteo, T., Kutner, R., Schinckus, C., & Stanley, H. E. (2019). Preface. Physica A: Statistical Mechanics and Its Applications, 513, 272. https://doi.org/10.1016/j.physa.2018.08.173

Empirical justification of the elementary model of money circulation

Physica A: Statistical Mechanics and its Applications / Mar 01, 2018

Schinckus, C., Altukhov, Y. A., & Pokrovskii, V. N. (2018). Empirical justification of the elementary model of money circulation. Physica A: Statistical Mechanics and Its Applications, 493, 228–238. https://doi.org/10.1016/j.physa.2017.10.054

Ising model, econophysics and analogies

Physica A: Statistical Mechanics and its Applications / Oct 01, 2018

Schinckus, C. (2018). Ising model, econophysics and analogies. Physica A: Statistical Mechanics and Its Applications, 508, 95–103. https://doi.org/10.1016/j.physa.2018.05.063

An elementary model of money circulation

Physica A: Statistical Mechanics and its Applications / Dec 01, 2016

Pokrovskii, V. N., & Schinckus, C. (2016). An elementary model of money circulation. Physica A: Statistical Mechanics and Its Applications, 463, 111–122. https://doi.org/10.1016/j.physa.2016.07.006

Between complexity of modelling and modelling of complexity: An essay on econophysics

Physica A: Statistical Mechanics and its Applications / Sep 01, 2013

Schinckus, C. (2013). Between complexity of modelling and modelling of complexity: An essay on econophysics. Physica A: Statistical Mechanics and Its Applications, 392(17), 3654–3665. https://doi.org/10.1016/j.physa.2013.04.005

A unified model for price return distributions used in econophysics

Physica A: Statistical Mechanics and its Applications / Oct 01, 2011

Bucsa, G., Jovanovic, F., & Schinckus, C. (2011). A unified model for price return distributions used in econophysics. Physica A: Statistical Mechanics and Its Applications, 390(20), 3435–3443. https://doi.org/10.1016/j.physa.2011.04.012

Ryan Howell

San Francisco , California, United States of America
Professor of Psychology, Department of Psychology, San Francisco State University
Most Relevant Research Interests
Cognitive Neuroscience
Health Informatics
Other Research Interests (41)
Happiness
Psychiatry and Mental health
Clinical Psychology
History and Philosophy of Science
General Psychology
And 36 more
About
Dr. Ryan Howell is an Associate Professor at San Francisco State University. His research interests include the psychology of goals and how people pursue and achieve them. Dr. Howell received his PhD in Social/Personality Psychology from the University of California, Riverside in 2005.
Most Relevant Publications (2+)

66 total publications

Understanding Long-Term Trajectories in Web-Based Happiness Interventions: Secondary Analysis From Two Web-Based Randomized Trials

Journal of Medical Internet Research / Jun 08, 2019

Sanders, C. A., Schueller, S. M., Parks, A. C., & Howell, R. T. (2019). Understanding Long-Term Trajectories in Web-Based Happiness Interventions: Secondary Analysis From Two Web-Based Randomized Trials. Journal of Medical Internet Research, 21(6), e13253. https://doi.org/10.2196/13253

Video conferencing during emergency distance learning impacted student emotions during COVID-19

Computers in Human Behavior Reports / Aug 01, 2022

Okabe-Miyamoto, K., Durnell, E., Howell, R. T., & Zizi, M. (2022). Video conferencing during emergency distance learning impacted student emotions during COVID-19. Computers in Human Behavior Reports, 7, 100199. https://doi.org/10.1016/j.chbr.2022.100199

John Joe

Faculty of Health and Medical Sciences, University of Surrey, Guildford, UK
Most Relevant Research Interests
Cognitive Neuroscience
Statistics and Probability
Statistical and Nonlinear Physics
Other Research Interests (66)
microbiology
systems biology
genetics
quantum biology
Management of Technology and Innovation
And 61 more
Most Relevant Publications (4+)

95 total publications

Conscious Electromagnetic (CEMI) Field Theory

NeuroQuantology / Sep 12, 2007

McFadden, J. (2007). Conscious Electromagnetic (CEMI) Field Theory. NeuroQuantology, 5(3). https://doi.org/10.14704/nq.2007.5.3.135

A quantum mechanical model of adaptive mutation

Biosystems / Jun 01, 1999

McFadden, J., & Al-Khalili, J. (1999). A quantum mechanical model of adaptive mutation. Biosystems, 50(3), 203–211. https://doi.org/10.1016/s0303-2647(99)00004-0

Quantum Biology: An Update and Perspective

Quantum Reports / Jan 26, 2021

Kim, Y., Bertagna, F., D’Souza, E. M., Heyes, D. J., Johannissen, L. O., Nery, E. T., Pantelias, A., Sanchez-Pedreño Jimenez, A., Slocombe, L., Spencer, M. G., Al-Khalili, J., Engel, G. S., Hay, S., Hingley-Wilson, S. M., Jeevaratnam, K., Jones, A. R., Kattnig, D. R., Lewis, R., Sacchi, M., … McFadden, J. (2021). Quantum Biology: An Update and Perspective. Quantum Reports, 3(1), 80–126. https://doi.org/10.3390/quantum3010006

Escape From Evolutionary Stasis by Transposon-mediated Deleterious Mutations

Journal of Theoretical Biology / Jun 01, 1997

McFadden, J., & Knowles, G. (1997). Escape From Evolutionary Stasis by Transposon-mediated Deleterious Mutations. Journal of Theoretical Biology, 186(4), 441–447. https://doi.org/10.1006/jtbi.1997.0403

Paola Dussias

Professor of Spanish, Linguistics and Psychology, Penn State University
Most Relevant Research Interests
Cognitive Neuroscience
Other Research Interests (20)
Linguistics and Language
Language and Linguistics
Education
Arts and Humanities (miscellaneous)
Developmental and Educational Psychology
And 15 more
About
I am a Professor of Spanish in the Department of Spanish, Italian and Portuguese with an affiliate appointment in the Department of Psychology. I completed my doctoral studies in the interdisciplinary program in Second Language Acquisition and Teaching at the University of Arizona, with a specialization in linguistic analysis and a minor concentration in second language processing. I then held a faculty position at the University of Illinois for four years (1996-2000), where I was a primary collaborator in pioneering a computer-enhanced Spanish language instruction curriculum consisting of mixed classroom and computer-assisted instruction. Prior to assuming my current position at Penn State, I was a Visiting Assistant Professor at the University of Mississippi (2000-2001), where I was hired to implement the model for the Spanish language curriculum developed at Illinois. 
Most Relevant Publications (5+)

87 total publications

Clitic pronouns reveal the time course of processing gender and number in a second language

Neuropsychologia / Sep 01, 2014

Rossi, E., Kroll, J. F., & Dussias, P. E. (2014). Clitic pronouns reveal the time course of processing gender and number in a second language. Neuropsychologia, 62, 11–25. https://doi.org/10.1016/j.neuropsychologia.2014.07.002

Referential choice in a second language: evidence for a listener-oriented approach

Language, Cognition and Neuroscience / Aug 19, 2016

Contemori, C., & Dussias, P. E. (2016). Referential choice in a second language: evidence for a listener-oriented approach. Language, Cognition and Neuroscience, 31(10), 1257–1272. https://doi.org/10.1080/23273798.2016.1220604

Neural signatures of inhibitory control in intra-sentential code-switching: Evidence from fMRI

Journal of Neurolinguistics / Feb 01, 2021

Rossi, E., Dussias, P. E., Diaz, M., van Hell, J. G., & Newman, S. (2021). Neural signatures of inhibitory control in intra-sentential code-switching: Evidence from fMRI. Journal of Neurolinguistics, 57, 100938. https://doi.org/10.1016/j.jneuroling.2020.100938

Brain potentials reveal differential processing of masculine and feminine grammatical gender in native Spanish speakers

Psychophysiology / Dec 02, 2020

Beatty‐Martínez, A. L., Bruni, M. R., Bajo, M. T., & Dussias, P. E. (2020). Brain potentials reveal differential processing of masculine and feminine grammatical gender in native Spanish speakers. Psychophysiology, 58(3). Portico. https://doi.org/10.1111/psyp.13737

When exceptions matter: bilinguals regulate their dominant language to exploit structural constraints in sentence production

Language, Cognition and Neuroscience / Aug 03, 2022

Navarro-Torres, C. A., Dussias, P. E., & Kroll, J. F. (2022). When exceptions matter: bilinguals regulate their dominant language to exploit structural constraints in sentence production. Language, Cognition and Neuroscience, 38(2), 217–242. https://doi.org/10.1080/23273798.2022.2105915

Stephen Adamo

Orlando Fl
Postdoctoral Researcher, University of Central Florida
Most Relevant Research Interests
Cognitive Neuroscience
Other Research Interests (14)
Visual Perception
Attention
Visual Search
Arts and Humanities (miscellaneous)
Experimental and Cognitive Psychology
And 9 more
Most Relevant Publications (7+)

32 total publications

A taxonomy of errors in multiple-target visual search

Visual Cognition / Aug 01, 2013

Cain, M. S., Adamo, S. H., & Mitroff, S. R. (2013). A taxonomy of errors in multiple-target visual search. Visual Cognition, 21(7), 899–921. https://doi.org/10.1080/13506285.2013.843627

Mammography to tomosynthesis: examining the differences between two-dimensional and segmented-three-dimensional visual search

Cognitive Research: Principles and Implications / Jun 14, 2018

Adamo, S. H., Ericson, J. M., Nah, J. C., Brem, R., & Mitroff, S. R. (2018). Mammography to tomosynthesis: examining the differences between two-dimensional and segmented-three-dimensional visual search. Cognitive Research: Principles and Implications, 3(1). https://doi.org/10.1186/s41235-018-0103-x

Satisfaction at last: Evidence for the “satisfaction” hypothesis for multiple-target search errors

Visual Cognition / Aug 09, 2015

Adamo, S. H., Cain, M. S., & Mitroff, S. R. (2015). Satisfaction at last: Evidence for the “satisfaction” hypothesis for multiple-target search errors. Visual Cognition, 23(7), 821–825. https://doi.org/10.1080/13506285.2015.1093248

From “satisfaction of search” to “subsequent search misses”: a review of multiple-target search errors across radiology and cognitive science

Cognitive Research: Principles and Implications / Aug 28, 2021

Adamo, S. H., Gereke, B. J., Shomstein, S., & Schmidt, J. (2021). From “satisfaction of search” to “subsequent search misses”: a review of multiple-target search errors across radiology and cognitive science. Cognitive Research: Principles and Implications, 6(1). https://doi.org/10.1186/s41235-021-00318-w

Recruiting from the shallow end of the pool: Differences in cognitive and compliance measures for subject pool participants based on enrollment time across an academic term

Visual Cognition / Dec 18, 2019

Porfido, C. L., Cox, P. H., Adamo, S. H., & Mitroff, S. R. (2019). Recruiting from the shallow end of the pool: Differences in cognitive and compliance measures for subject pool participants based on enrollment time across an academic term. Visual Cognition, 28(1), 1–9. https://doi.org/10.1080/13506285.2019.1702602

Self-induced attentional blink: A cause of errors in multiple-target visual search

Visual Cognition / Oct 01, 2012

Adamo, S. H., Cain, M. S., & Mitroff, S. R. (2012). Self-induced attentional blink: A cause of errors in multiple-target visual search. Visual Cognition, 20(9), 1003–1007. https://doi.org/10.1080/13506285.2012.726448

Volume 24, 2016 List of Reviewers

Visual Cognition / Nov 25, 2016

Volume 24, 2016 List of Reviewers. (2016). Visual Cognition, 24(9–10), 499–501. https://doi.org/10.1080/13506285.2016.1345458

Daniel Milej, Ph.D.

London, Ontario, Canada
Ph.D. in biomedical engineering
Most Relevant Research Interests
Cognitive Neuroscience
Health Informatics
Other Research Interests (36)
Biomedical Optics
NIRS
fNIRS
Diffuse Correlation Spectroscopy
CBF
And 31 more
About
Dr. Daniel Milej is a multidisciplinary researcher with experience in medical biophysics, electronics, biocybernetics, biomedical optics and engineering. He is highly knowledgeable and experienced in a range of research techniques. He is currently a Research Associate at the Lawson Health Research Institute, leading the transition of multimodal optical imaging systems from a research setting to clinical use in an ICU and OR environment, working closely with teams of nurses, surgeons, doctors and respiratory therapists. Previously he was a postdoctoral fellow working on developing noninvasive modalities for brain activity monitoring in the Department of Medical Biophysics at Western University. Before that, Dr. Milej worked as a researcher at the Nalecz Institute of Biocybernetics and Biomedical Engineering. He obtained his Ph.D. in 2014 from the Polish Academy of Science, specializing in Electronics and Biomedical Engineering. He received his MSc from the Military University of Technology in 2008.
Most Relevant Publications (2+)

91 total publications

Analysis of estimation of optical properties of sub superficial structures in multi layered tissue model using distribution function method

Computer Methods and Programs in Biomedicine / Jan 01, 2020

Żołek, N., Rix, H., & Botwicz, M. (2020). Analysis of estimation of optical properties of sub superficial structures in multi layered tissue model using distribution function method. Computer Methods and Programs in Biomedicine, 183, 105084. https://doi.org/10.1016/j.cmpb.2019.105084

Assessment of cerebral perfusion in post-traumatic brain injury patients with the use of ICG-bolus tracking method

NeuroImage / Jan 01, 2014

Weigl, W., Milej, D., Gerega, A., Toczylowska, B., Kacprzak, M., Sawosz, P., Botwicz, M., Maniewski, R., Mayzner-Zawadzka, E., & Liebert, A. (2014). Assessment of cerebral perfusion in post-traumatic brain injury patients with the use of ICG-bolus tracking method. NeuroImage, 85, 555–565. https://doi.org/10.1016/j.neuroimage.2013.06.065

Andrii Golovin

Electrical Engineering Department, City College of New York
Most Relevant Research Interests
Statistical and Nonlinear Physics
Other Research Interests (21)
optics
optoelectronics
photonics
lasers
material science
And 16 more
Most Relevant Publications (1+)

57 total publications

Surface plasmon sorting and engineered dispersion curves using multilayer doped semiconductors

Journal of the Optical Society of America B / May 01, 2015

Jung, Y. U., Mandel, I. M., Bendoym, I., Golovin, A. B., & Crouse, D. T. (2015). Surface plasmon sorting and engineered dispersion curves using multilayer doped semiconductors. Journal of the Optical Society of America B, 32(5), 1007. https://doi.org/10.1364/josab.32.001007

Dr. Charles Lassiter, Ph.D.

Spokane, Washington, United States of America
Associate professor of philosophy with publications on mind, language, knowledge, and culture
Most Relevant Research Interests
Cognitive Neuroscience
Other Research Interests (20)
philosophy of mind
embodied cognition
extended cognition
philosophy of language
social psychology
And 15 more
About
My research is at the intersection of mind, technology, and culture. I regularly publish on topics including: 1\. embodied and encultured cognition 2\. computational models of reasoning 3\. epistemology of expertise Outside of my publishing work, I have taught philosophy at the undergraduate and graduate levels since 2015. My other professional role includes helping other humanists be more public-facing in their own research. Finally, I gather and analyze data from the philosophy job market on my blog: https://charleslassiter.weebly.com/blog
Most Relevant Publications (2+)

22 total publications

Review of David Chalmers, Reality+: virtual Worlds and the problems of Philosophy, New York: W.W. Norton & Company, 2022

Phenomenology and the Cognitive Sciences / Oct 20, 2022

Lassiter, C., & Kagan, A. (2022). Review of David Chalmers, Reality+: virtual Worlds and the problems of Philosophy, New York: W.W. Norton & Company, 2022. Phenomenology and the Cognitive Sciences. https://doi.org/10.1007/s11097-022-09864-0

New Ontological Foundations for Extended Minds: Causal Powers Realism

Phenomenology and the Cognitive Sciences / Jun 10, 2022

Lassiter, C., & Vukov, J. (2022). New Ontological Foundations for Extended Minds: Causal Powers Realism. Phenomenology and the Cognitive Sciences. https://doi.org/10.1007/s11097-022-09817-7

Norman Farb

Associate Professor at University of Toronto - Mississauga
Most Relevant Research Interests
Cognitive Neuroscience
Other Research Interests (39)
Mindfulness- Emotion - Affect - Attention - Neuroscience - Interoception
Experimental and Cognitive Psychology
General Medicine
General Psychology
Psychiatry and Mental health
And 34 more
About
Norman Farb, PhD, is an Associate Professor of Psychology at the University of Toronto Mississauga, where he directs the Regulatory and Affective Dynamics laboratory (www.radlab.zone). He studies the psychology of well-being, focusing on mental habits, such as how we think about ourselves and interpret our emotions. He is particularly interested in why people differ in their resilience to stress, depression, and anxiety. Prof. Farb's work currently explores online training to support wellbeing, as well as neuroimaging to understand how emotional reactions predict mental health over the lifespan.
Most Relevant Publications (10+)

96 total publications

Attending to the present: mindfulness meditation reveals distinct neural modes of self-reference

Social Cognitive and Affective Neuroscience / Aug 13, 2007

Farb, N. A. S., Segal, Z. V., Mayberg, H., Bean, J., McKeon, D., Fatima, Z., & Anderson, A. K. (2007). Attending to the present: mindfulness meditation reveals distinct neural modes of self-reference. Social Cognitive and Affective Neuroscience, 2(4), 313–322. https://doi.org/10.1093/scan/nsm030

Mindfulness meditation training alters cortical representations of interoceptive attention

Social Cognitive and Affective Neuroscience / Jul 06, 2012

Farb, N. A. S., Segal, Z. V., & Anderson, A. K. (2012). Mindfulness meditation training alters cortical representations of interoceptive attention. Social Cognitive and Affective Neuroscience, 8(1), 15–26. https://doi.org/10.1093/scan/nss066

Attentional Modulation of Primary Interoceptive and Exteroceptive Cortices

Cerebral Cortex / Jan 19, 2012

Farb, N. A. S., Segal, Z. V., & Anderson, A. K. (2012). Attentional Modulation of Primary Interoceptive and Exteroceptive Cortices. Cerebral Cortex, 23(1), 114–126. https://doi.org/10.1093/cercor/bhr385

Abnormal network connectivity in frontotemporal dementia: Evidence for prefrontal isolation

Cortex / Jul 01, 2013

Farb, N. A. S., Grady, C. L., Strother, S., Tang-Wai, D. F., Masellis, M., Black, S., Freedman, M., Pollock, B. G., Campbell, K. L., Hasher, L., & Chow, T. W. (2013). Abnormal network connectivity in frontotemporal dementia: Evidence for prefrontal isolation. Cortex, 49(7), 1856–1873. https://doi.org/10.1016/j.cortex.2012.09.008

Intrinsic medial temporal lobe connectivity relates to individual differences in episodic autobiographical remembering

Cortex / Jan 01, 2016

Sheldon, S., Farb, N., Palombo, D. J., & Levine, B. (2016). Intrinsic medial temporal lobe connectivity relates to individual differences in episodic autobiographical remembering. Cortex, 74, 206–216. https://doi.org/10.1016/j.cortex.2015.11.005

Do Lifestyle Activities Protect Against Cognitive Decline in Aging? A Review

Frontiers in Aging Neuroscience / Nov 20, 2017

Christie, G. J., Hamilton, T., Manor, B. D., Farb, N. A. S., Farzan, F., Sixsmith, A., Temprado, J.-J., & Moreno, S. (2017). Do Lifestyle Activities Protect Against Cognitive Decline in Aging? A Review. Frontiers in Aging Neuroscience, 9. https://doi.org/10.3389/fnagi.2017.00381

Frontoparietal and Default Mode Network Contributions to Self-Referential Processing in Social Anxiety Disorder

Cognitive, Affective, & Behavioral Neuroscience / Aug 02, 2021

Dixon, M. L., Moodie, C. A., Goldin, P. R., Farb, N., Heimberg, R. G., Zhang, J., & Gross, J. J. (2021). Frontoparietal and Default Mode Network Contributions to Self-Referential Processing in Social Anxiety Disorder. Cognitive, Affective, & Behavioral Neuroscience, 22(1), 187–198. https://doi.org/10.3758/s13415-021-00933-6

Facial emotion recognition in children treated for posterior fossa tumours and typically developing children: A divergence of predictors

NeuroImage: Clinical / Jan 01, 2019

Moxon-Emre, I., Farb, N. A. S., Oyefiade, A. A., Bouffet, E., Laughlin, S., Skocic, J., de Medeiros, C. B., & Mabbott, D. J. (2019). Facial emotion recognition in children treated for posterior fossa tumours and typically developing children: A divergence of predictors. NeuroImage: Clinical, 23, 101886. https://doi.org/10.1016/j.nicl.2019.101886

Static and treatment-responsive brain biomarkers of depression relapse vulnerability following prophylactic psychotherapy: Evidence from a randomized control trial

NeuroImage: Clinical / Jan 01, 2022

Farb, N. A. S., Desormeau, P., Anderson, A. K., & Segal, Z. V. (2022). Static and treatment-responsive brain biomarkers of depression relapse vulnerability following prophylactic psychotherapy: Evidence from a randomized control trial. NeuroImage: Clinical, 34, 102969. https://doi.org/10.1016/j.nicl.2022.102969

Emotion Regulation in Social Anxiety Disorder: Reappraisal and Acceptance of Negative Self-beliefs

Biological Psychiatry: Cognitive Neuroscience and Neuroimaging / Jan 01, 2020

Dixon, M. L., Moodie, C. A., Goldin, P. R., Farb, N., Heimberg, R. G., & Gross, J. J. (2020). Emotion Regulation in Social Anxiety Disorder: Reappraisal and Acceptance of Negative Self-beliefs. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 5(1), 119–129. https://doi.org/10.1016/j.bpsc.2019.07.009

Laura Jackson Young

Associate Professor of Economics, Bentley University
Most Relevant Research Interests
Analysis
Other Research Interests (11)
Economics
Macroeconomics
Econometrics
Economics and Econometrics
Social Sciences (miscellaneous)
And 6 more
About
Laura Jackson Young graduated from the University of North Carolina at Chapel Hill in December 2014 with a PhD in Economics. She is now an Associate Professor of Economics at Bentley University.  ​ Founder and co-advisor for [WEB: Women in Economics at Bentley](https://webentley.weebly.com/). Faculty Research Director for the [Gloria Cordes Larson Center for Women and Business](https://www.bentley.edu/centers/center-for-women-and-business) **Research Interests:** Macroeconomics, Monetary and Fiscal Policy, Financial Economics, Business Cycles, Econometrics
Most Relevant Publications (2+)

21 total publications

The nonlinear effects of uncertainty shocks

Studies in Nonlinear Dynamics & Econometrics / Oct 26, 2019

Jackson, L. E., Kliesen, K. L., & Owyang, M. T. (2019). The nonlinear effects of uncertainty shocks. Studies in Nonlinear Dynamics & Econometrics, 24(4). https://doi.org/10.1515/snde-2019-0024

Age and gender differentials in unemployment and hysteresis

Studies in Nonlinear Dynamics & Econometrics / Jun 07, 2023

Guisinger, A. Y., Jackson, L. E., & Owyang, M. T. (2023). Age and gender differentials in unemployment and hysteresis. Studies in Nonlinear Dynamics & Econometrics, 0(0). https://doi.org/10.1515/snde-2022-0068

Lea-Rachel Kosnik

Professor of Economics, University of Missouri-St. Louis, a leading expert on hydropower regulation in the U.S., and other energy and environmental issues
Most Relevant Research Interests
Statistics and Probability
Other Research Interests (38)
Environmental Economics
Energy Economics
Environmental Justice
Text/Content Analysis
Public & Regulatory Economics
And 33 more
About
Lea-Rachel Kosnik is a Professor of Economics at the University of Missouri-St. Louis. She received her BA and MA from the University of Michigan, Ann Arbor, and her PhD from the University of California, Los Angeles. Her research focuses on renewable energy and climate change, and she is considered a leading expert on the topic of hydroelectric energy generation in the U.S., and hydropower regulation by the Federal Energy Regulatory Commission. In recent years her research has expanded to include analyses of the academic economics profession itself, including with a focus on gender issues and DEI initiatives. Methodologically, her skill set includes textual analysis and natural language processing, along with traditional econometric techniques. In 2016 she received an honorable mention for article of the year from *Contemporary Economic Policy*, and in 2022 she gave the keynote address to the Illinois Economics Association. Dr. Kosnik is perhaps best known (in a service capacity) as the Association of Environmental and Resource Economist’s (AERE’s) Midwest representative, annually organizing the full track of AERE-sponsored environmental sessions at the Midwest Economic Association meetings. Dr. Kosnik has also served as President, Past-President, and Board Member of the Transportation and Public Utilities Group (TPUG), and as a Department Chair.
Most Relevant Publications (1+)

40 total publications

Which leading journal leads? Idea diffusion in economics research journals

Empirical Economics / Jun 06, 2018

Bellas, A., & Kosnik, L.-R. (2018). Which leading journal leads? Idea diffusion in economics research journals. Empirical Economics, 57(3), 901–921. https://doi.org/10.1007/s00181-018-1466-z

Mohsen Omrani

CEO at OPTT Inc.
Most Relevant Research Interests
Cognitive Neuroscience
Health Informatics
Other Research Interests (18)
Electrophysiology
Motor control
sensory motor transformation
Neuromodulation
Mental Health
And 13 more
About
I am passionate about technology and its use to make life better for all others. My goal is to utilize my expertise in medicine, neurology, and technology to design tools for improving mental health. <br> The growing demand for quality mental health care isn’t going anywhere. At OPTT, I lead a team of exceptional people to build digital mental health solutions for the population. Our team is working hard to change the way mental health care is delivered. With the use of AI technology, OPTT provides health care professionals with insights for effective care pathways.
Most Relevant Publications (2+)

49 total publications

Learning not to feel: reshaping the resolution of tactile perception

Frontiers in Systems Neuroscience / Jan 01, 2013

Omrani, M., Lak, A., & Diamond, M. E. (2013). Learning not to feel: reshaping the resolution of tactile perception. Frontiers in Systems Neuroscience, 7. https://doi.org/10.3389/fnsys.2013.00029

User experiences of an online therapist-guided psychotherapy platform, OPTT: A cross-sectional study

Internet Interventions / Apr 01, 2023

Stephenson, C., Moghimi, E., Gutierrez, G., Jagayat, J., Layzell, G., Patel, C., Omrani, M., & Alavi, N. (2023). User experiences of an online therapist-guided psychotherapy platform, OPTT: A cross-sectional study. Internet Interventions, 32, 100623. https://doi.org/10.1016/j.invent.2023.100623

Steve Joordens

UofT Professor of Psychology with a passion for preventive mental health and education
Most Relevant Research Interests
Cognitive Neuroscience
Other Research Interests (34)
Memory
Educational Technologies
Developing Transferable Skills
General Psychology
Arts and Humanities (miscellaneous)
And 29 more
About
Initially trained as a Cognitive Psychologist with expertise on conscious versus unconscious influences on performance, Steve has more recently become a strong proponent of preventative mental health efforts. During the pandemic Steve created a free online course at Coursera.org entitled Understanding and Managing the Anxiety of COVID 19, a course that has over 180,000 registered students. That lead him to then created more specialized courses, one supporting Police Officers and another supporting Health Care Workers, providing each with a better understanding of the stressors associated with their chosen work, and giving them tips and strategies for managing their mental health. Since then Steve has become a common media commentator around preventative mental health, and has begun supporting both not for profits (The GenWell Initiative) and commercial entities (OOt Social) to bring mental health support to corporations, students, and the general public.
Most Relevant Publications (1+)

77 total publications

EEG variability: Task-driven or subject-driven signal of interest?

NeuroImage / May 01, 2022

Gibson, E., Lobaugh, N. J., Joordens, S., & McIntosh, A. R. (2022). EEG variability: Task-driven or subject-driven signal of interest? NeuroImage, 252, 119034. https://doi.org/10.1016/j.neuroimage.2022.119034

Marian Rizov

Professor of Business Economics
Most Relevant Research Interests
Statistics, Probability and Uncertainty
Statistics and Probability
Other Research Interests (41)
Microeconomics
Labour
IO
Agriculture
Development
And 36 more
Most Relevant Publications (1+)

84 total publications

Productivity and Trade Orientation in UK Manufacturing

Oxford Bulletin of Economics and Statistics / Dec 01, 2009

Rizov, M., & Walsh, P. P. (2009). Productivity and Trade Orientation in UK Manufacturing. Oxford Bulletin of Economics and Statistics, 71(6), 821–849. https://doi.org/10.1111/j.1468-0084.2009.00564.x

Paul Schrater

University of Minnesota
Most Relevant Research Interests
Cognitive Neuroscience
Other Research Interests (43)
Artificial Intelligence
Computational Psychology
Cognitive Science
General Neuroscience
Multidisciplinary
And 38 more
Most Relevant Publications (4+)

96 total publications

Patterns of Activity in the Categorical Representations of Objects

Journal of Cognitive Neuroscience / May 01, 2003

Carlson, T. A., Schrater, P., & He, S. (2003). Patterns of Activity in the Categorical Representations of Objects. Journal of Cognitive Neuroscience, 15(5), 704–717. https://doi.org/10.1162/jocn.2003.15.5.704

Perceptual grouping and the interactions between visual cortical areas

Neural Networks / Jun 01, 2004

Murray, S. O., Schrater, P., & Kersten, D. (2004). Perceptual grouping and the interactions between visual cortical areas. Neural Networks, 17(5–6), 695–705. https://doi.org/10.1016/j.neunet.2004.03.010

Neuromatch Academy: Teaching Computational Neuroscience with Global Accessibility

Trends in Cognitive Sciences / Jul 01, 2021

van Viegen, T., Akrami, A., Bonnen, K., DeWitt, E., Hyafil, A., Ledmyr, H., Lindsay, G. W., Mineault, P., Murray, J. D., Pitkow, X., Puce, A., Sedigh-Sarvestani, M., Stringer, C., Achakulvisut, T., Alikarami, E., Atay, M. S., Batty, E., Erlich, J. C., Galbraith, B. V., … Peters, M. A. K. (2021). Neuromatch Academy: Teaching Computational Neuroscience with Global Accessibility. Trends in Cognitive Sciences, 25(7), 535–538. https://doi.org/10.1016/j.tics.2021.03.018

An Optimal Feedback Control Framework for Grasping Objects with Position Uncertainty

Neural Computation / Oct 01, 2011

Christopoulos, V. N., & Schrater, P. R. (2011). An Optimal Feedback Control Framework for Grasping Objects with Position Uncertainty. Neural Computation, 23(10), 2511–2536. https://doi.org/10.1162/neco_a_00180

Emmanouil Mentzakis

London
Health Economist, Professor at City University of London
Most Relevant Research Interests
Health Informatics
Other Research Interests (33)
General Medicine
Pulmonary and Respiratory Medicine
Pediatrics, Perinatology and Child Health
Economics and Econometrics
Finance
And 28 more
About
Senior academic and policy advisor. Public and private sector consultant with remit ranging from health ministries and public organizations to insurance and pharmaceutical companies. Cross-institutional leader in research and admin roles focusing on excellence, efficiency, innovation, and community. Strategic and proactive thinker with clear vision and plan, approaching challenges with creativity and adaptability. Highly motivational manager with strong communication skills and impeccable project management track-record.   Expert scholar and educator in health economics, discrete choice experiments, research study design and observational epidemiology. Long experience setting-up and coordinating multi-disciplinary teams into delivering high quality research.
Most Relevant Publications (2+)

46 total publications

A proof-of-concept framework for the preference elicitation and evaluation of health informatics technologies: the online PRESENT patient experience dashboard as a case example

BMC Medical Informatics and Decision Making / May 24, 2020

Mentzakis, E., Tkacz, D., & Rivas, C. (2020). A proof-of-concept framework for the preference elicitation and evaluation of health informatics technologies: the online PRESENT patient experience dashboard as a case example. BMC Medical Informatics and Decision Making, 20(1). https://doi.org/10.1186/s12911-020-1098-z

Estimating Determinants of Attrition in Eating Disorder Communities on Twitter: An Instrumental Variables Approach

Journal of Medical Internet Research / May 03, 2019

Wang, T., Mentzakis, E., Brede, M., & Ianni, A. (2019). Estimating Determinants of Attrition in Eating Disorder Communities on Twitter: An Instrumental Variables Approach. Journal of Medical Internet Research, 21(5), e10942. https://doi.org/10.2196/10942

Tyler Ransom

Norman, Oklahoma, United States of America
Associate Professor of Economics at the University of Oklahoma
Most Relevant Research Interests
Statistics, Probability and Uncertainty
Statistics and Probability
Other Research Interests (15)
Economics
Labor Economics
Economics of Education
Urban Economics
Applied Microeconomics
And 10 more
About
Tyler Ransom is an associate professor of economics at the University of Oklahoma. He received his Ph.D. in economics from Duke University in 2015. His research interests include labor economics, economics of education, urban economics, and machine learning applications. He has published papers in leading journals such as the Journal of Labor Economics, the Journal of Human Resources, and the Journal of Econometrics. He is also an associate editor of the Annals of Economics and Statistics and a research affiliate of IZA and GLO. He has taught courses on econometrics, data science, and economics of education at both undergraduate and graduate levels. He has received several awards and fellowships for his research and teaching, such as the OU Dodge Family College of Arts & Sciences Irene Rothbaum Outstanding Assistant Professor Award in 2022. He is proficient in various coding languages such as Matlab, Stata, R, Julia, Bash, Git, and LaTeX. He also has advanced language skills in Japanese.
Most Relevant Publications (1+)

15 total publications

Selective Migration, Occupational Choice, and the Wage Returns to College Majors

Annals of Economics and Statistics / Jan 01, 2021

Ransom. (2021). Selective Migration, Occupational Choice, and the Wage Returns to College Majors. Annals of Economics and Statistics, 142, 45. https://doi.org/10.15609/annaeconstat2009.142.0045

Nora S Vyas, Ph.D.

Associate Professor of Mental Health, with interest in civic engagement and partnerships
Most Relevant Research Interests
Cognitive Neuroscience
Other Research Interests (26)
Psychosis
neuroimaging
neuropsychology
mindfulness
neurodevelopmental disorders
And 21 more
About
Dr Nora S Vyas is an Associate Professor in Psychology at the Department of Psychology, Kingston University. She joined Kingston University in 2012, and previously held a Senior Lecturer position at Middlesex University. Dr Vyas completed her PhD in psychiatry at the Institute of Psychiatry, Psychology and Neuroscience (IoPPN), University of London in 2008. Following her PhD, she worked at the Child Psychiatry Branch, National Institutes of Health (Washington DC, USA) as a Lindemann Trust Fellow (English-Speaking Union), preceded by a Fulbright Distinguished Fellowship in 2010. Dr Vyas teaches at undergraduate and postgraduate level in child/adolescent and adult mental health, health psychology, and clinical/cognitive neuroscience. Her research focuses on using clinical, cognitive, and imaging techniques to study individuals with serious mental health problems such as bipolar disorder and schizophrenia. She applies these skills in other fields such as oncology and mindfulness. Her research specialism is early-onset psychosis, and she has published her work widely.
Most Relevant Publications (1+)

30 total publications

Reading abilities and dopamine D2/D3 receptor availability: An inverted U-shaped association in subjects with schizophrenia

Brain and Language / Dec 01, 2021

Mitelman, S. A., Buchsbaum, M. S., Vyas, N. S., Christian, B. T., Merrill, B. M., Buchsbaum, B. R., Mitelman, A. M., Mukherjee, J., & Lehrer, D. S. (2021). Reading abilities and dopamine D2/D3 receptor availability: An inverted U-shaped association in subjects with schizophrenia. Brain and Language, 223, 105046. https://doi.org/10.1016/j.bandl.2021.105046

Abiodun Adewuya

Professor of Public Mental Health at Lagos State University College of Medicine
Most Relevant Research Interests
Health Informatics
Cognitive Neuroscience
Other Research Interests (38)
Mental Health
Psychiatry and Mental health
Clinical Psychology
Social Psychology
Health (social science)
And 33 more
About
Prof. Adewuya is a professor of public mental health at Lagos State University College of Medicine. He is a Fellow of the Faculty of Psychiatry of both the National Postgraduate Medical College of Nigeria and the West African College of Physicians.
Most Relevant Publications (2+)

113 total publications

Predictors of COVID-19 Information Sources and Their Perceived Accuracy in Nigeria: Online Cross-sectional Study

JMIR Public Health and Surveillance / Jan 25, 2021

Erinoso, O., Wright, K. O., Anya, S., Kuyinu, Y., Abdur-Razzaq, H., & Adewuya, A. (2021). Predictors of COVID-19 Information Sources and Their Perceived Accuracy in Nigeria: Online Cross-sectional Study. JMIR Public Health and Surveillance, 7(1), e22273. https://doi.org/10.2196/22273

Cognitive functioning among patients with schizophrenia in a Nigerian hospital: a comparison with mood disorder

Schizophrenia Research: Cognition / Sep 01, 2014

Okewole, A. O., Adewuya, A. O., & Makanjuola, R. O. A. (2014). Cognitive functioning among patients with schizophrenia in a Nigerian hospital: a comparison with mood disorder. Schizophrenia Research: Cognition, 1(3), 155–159. https://doi.org/10.1016/j.scog.2014.08.003

Beth Bell

Associate Professor (Youth Mental Health and Wellbeing) at the University of York (UK).
Most Relevant Research Interests
Health Informatics
Other Research Interests (19)
Psychology
HCI
Education
Developmental and Educational Psychology
Social Psychology
And 14 more
About
My aim is to understand and improve youth mental health in the digital age. Currently, I am employed as a Senior Lecturer /Associate Professor at the University of York (UK), where I lead on Impact and Knowledge Exchange Lead strategy for the Department of Education. As an experienced research leader, I have strong expertise conducting qualitative and quantitative sensitive topic research with young people, including co-production. My research focuses on sociocultural influences on youth mental health, covering pressing issues such as body image, online help-seeking, and harassment. I regularly contribute my expertise to media (e.g., The Truth About... BBC) and provide consultation to industry/policy makers.
Most Relevant Publications (1+)

26 total publications

Understanding the Role of Healthy Eating and Fitness Mobile Apps in the Formation of Maladaptive Eating and Exercise Behaviors in Young People

JMIR mHealth and uHealth / Jun 18, 2019

Honary, M., Bell, B. T., Clinch, S., Wild, S. E., & McNaney, R. (2019). Understanding the Role of Healthy Eating and Fitness Mobile Apps in the Formation of Maladaptive Eating and Exercise Behaviors in Young People. JMIR MHealth and UHealth, 7(6), e14239. https://doi.org/10.2196/14239

Thomas Morin, Ph.D.

Postdoctoral Fellow studying cognitive and computational neuroscience in the context of Alzheimer’s disease, aging, and autism. Expertise in network neuroscience, MRI and PET neuroimaging. Mass. General Hospital & Brandeis University
Most Relevant Research Interests
Cognitive Neuroscience
Other Research Interests (7)
Computational Neuroscience
Neuroimaging
General Chemical Engineering
General Chemistry
General Medicine
And 2 more
About
I grew up just outside of Boston in a town called Braintree. Braintree is a odd name for a town, and when I was a kid I imagined that somewhere there must be a tree with brains growing out of it. I couldn't wait to find this tree, pick my very own brain from among the branches, and see what it looked like. I was wrong about the tree, but now I get to look at brains all the time! I am currently a Postdoctoral Research Fellow at the MGH Martinos Center and a Visiting Scientist at Brandeis University. My research studies how age and neurochemistry affect the network stucture of the brain. My primary mentors are Dr. Anne Berry and Dr. Jacob Hooker.
Most Relevant Publications (3+)

6 total publications

Dynamic Network Analysis Demonstrates the Formation of Stable Functional Networks During Rule Learning

Cerebral Cortex / Jul 27, 2021

Morin, T. M., Chang, A. E., Ma, W., McGuire, J. T., & Stern, C. E. (2021). Dynamic Network Analysis Demonstrates the Formation of Stable Functional Networks During Rule Learning. Cerebral Cortex, 31(12), 5511–5525. https://doi.org/10.1093/cercor/bhab175

Functional reconfiguration of task-active frontoparietal control network facilitates abstract reasoning

Cerebral Cortex / Nov 24, 2022

Morin, T. M., Moore, K. N., Isenburg, K., Ma, W., & Stern, C. E. (2022). Functional reconfiguration of task-active frontoparietal control network facilitates abstract reasoning. Cerebral Cortex, 33(10), 5761–5773. https://doi.org/10.1093/cercor/bhac457

Functional network reconfiguration supporting memory-guided attention

Cerebral Cortex / Mar 28, 2023

Isenburg, K., Morin, T. M., Rosen, M. L., Somers, D. C., & Stern, C. E. (2023). Functional network reconfiguration supporting memory-guided attention. Cerebral Cortex, 33(12), 7702–7713. https://doi.org/10.1093/cercor/bhad073

andrea bazzani

Scuola Superiore Sant'Anna - Pisa
Most Relevant Research Interests
Cognitive Neuroscience
Other Research Interests (32)
consumer neuroscience
neurophysiology
psychiatry
General Neuroscience
Physiology (medical)
And 27 more
Most Relevant Publications (1+)

25 total publications

Heart rate detection by Fitbit ChargeHR: A validation study versus portable polysomnography

Journal of Sleep Research / Apr 10, 2021

Benedetti, D., Olcese, U., Frumento, P., Bazzani, A., Bruno, S., d’Ascanio, P., Maestri, M., Bonanni, E., & Faraguna, U. (2021). Heart rate detection by Fitbit ChargeHR™: A validation study versus portable polysomnography. Journal of Sleep Research, 30(6). Portico. https://doi.org/10.1111/jsr.13346

Asst. Prof. Eng. Davide Verzotto, Ph.D.

Assistant Professor of Computer Science, Centre for Higher Defence Studies (CASD) - School of Advanced Studies, Italian Defence General Staff, Rome
Most Relevant Research Interests
Health Informatics
Numerical Analysis
Other Research Interests (19)
Algorithms & Data Structures
Bioinformatics & Computational Biology
Machine Learning
Scalable
Multidisciplinary
And 14 more
About
Algorithms & Information Intelligence, Pattern Discovery Bioinformatics & Computational Biology/Genomics Scalable Data Mining & Machine Learning
Most Relevant Publications (4+)

40 total publications

OPTIMA: sensitive and accurate whole-genome alignment of error-prone genomic maps by combinatorial indexing and technology-agnostic statistical analysis

GigaScience / Jan 19, 2016

Verzotto, D., M. Teo, A. S., Hillmer, A. M., & Nagarajan, N. (2016). OPTIMA: sensitive and accurate whole-genome alignment of error-prone genomic maps by combinatorial indexing and technology-agnostic statistical analysis. GigaScience, 5(1). https://doi.org/10.1186/s13742-016-0110-0

Editorial: Special Issue on Algorithms for Sequence Analysis and Storage

Algorithms / Mar 25, 2014

Mäkinen, V. (2014). Editorial: Special Issue on Algorithms for Sequence Analysis and Storage. Algorithms, 7(1), 186–187. https://doi.org/10.3390/a7010186

Single-molecule optical genome mapping of a human HapMap and a colorectal cancer cell line

GigaScience / Dec 01, 2015

Teo, A. S. M., Verzotto, D., Yao, F., Nagarajan, N., & Hillmer, A. M. (2015). Single-molecule optical genome mapping of a human HapMap and a colorectal cancer cell line. GigaScience, 4(1). https://doi.org/10.1186/s13742-015-0106-1

Filtering Degenerate Patterns with Application to Protein Sequence Analysis

Algorithms / May 22, 2013

Comin, M., & Verzotto, D. (2013). Filtering Degenerate Patterns with Application to Protein Sequence Analysis. Algorithms, 6(2), 352–370. https://doi.org/10.3390/a6020352

K. Suzanne Scherf

Associate Professor of Psychology & Neuroscience, Penn State University
Most Relevant Research Interests
Cognitive Neuroscience
Other Research Interests (41)
developmental cognitive neuroscience
vision
autism
adolescent
Developmental and Educational Psychology
And 36 more
About
My core interests lie in understanding how children and adolescents perceive and interpret social signals and how emerging functional specificity of the developing brain supports this process. My approach primarily involves using the face processing system as a model domain. Faces are dynamic stimuli from which we extract many different kinds of information (e.g., gender, age, emotional state, mate potential, social status, trustworthiness, intentions, “person knowledge”). All of these processes must be executed accurately and rapidly for many faces over the course of a single day, making face processing among the most taxing perceptual challenges confronted by people in their day-to-day life. Given that faces are also the pre-eminent social signal, studying developmental changes in the behavioral and brain basis of face processing in typically developing individuals and in those affected by social-emotional disorders may index a core set of developmental changes within the broader social information processing system. I employ converging methodologies, including functional (fMRI) and structural magnetic resonance, and diffusion tensor imaging (DTI) along with detailed behavioral paradigms in both typically developing populations and those with developmental disorders to examine development from early childhood to adulthood.
Most Relevant Publications (18+)

80 total publications

Visual category-selectivity for faces, places and objects emerges along different developmental trajectories

Developmental Science / Jul 01, 2007

Scherf, K. S., Behrmann, M., Humphreys, K., & Luna, B. (2007). Visual category-selectivity for faces, places and objects emerges along different developmental trajectories. Developmental Science, 10(4), F15–F30. https://doi.org/10.1111/j.1467-7687.2007.00595.x

Brain Basis of Developmental Change in Visuospatial Working Memory

Journal of Cognitive Neuroscience / Jul 01, 2006

Scherf, K. S., Sweeney, J. A., & Luna, B. (2006). Brain Basis of Developmental Change in Visuospatial Working Memory. Journal of Cognitive Neuroscience, 18(7), 1045–1058. https://doi.org/10.1162/jocn.2006.18.7.1045

Facing changes and changing faces in adolescence: A new model for investigating adolescent-specific interactions between pubertal, brain and behavioral development

Developmental Cognitive Neuroscience / Apr 01, 2012

Scherf, K. S., Behrmann, M., & Dahl, R. E. (2012). Facing changes and changing faces in adolescence: A new model for investigating adolescent-specific interactions between pubertal, brain and behavioral development. Developmental Cognitive Neuroscience, 2(2), 199–219. https://doi.org/10.1016/j.dcn.2011.07.016

Two faces, two languages: An fMRI study of bilingual picture naming

Brain and Language / Dec 01, 2013

Li, Y., Yang, J., Suzanne Scherf, K., & Li, P. (2013). Two faces, two languages: An fMRI study of bilingual picture naming. Brain and Language, 127(3), 452–462. https://doi.org/10.1016/j.bandl.2013.09.005

Pubertal development shapes perception of complex facial expressions

Developmental Science / Jun 19, 2016

Motta‐Mena, N. V., & Scherf, K. S. (2016). Pubertal development shapes perception of complex facial expressions. Developmental Science, 20(4). Portico. https://doi.org/10.1111/desc.12451

Beyond the FFA: Brain-behavior correspondences in face recognition abilities

NeuroImage / Feb 01, 2017

Elbich, D. B., & Scherf, S. (2017). Beyond the FFA: Brain-behavior correspondences in face recognition abilities. NeuroImage, 147, 409–422. https://doi.org/10.1016/j.neuroimage.2016.12.042

Young children's neural processing of their mother’s voice: An fMRI study

Neuropsychologia / Jan 01, 2019

Liu, P., Cole, P. M., Gilmore, R. O., Pérez-Edgar, K. E., Vigeant, M. C., Moriarty, P., & Scherf, K. S. (2019). Young children’s neural processing of their mother’s voice: An fMRI study. Neuropsychologia, 122, 11–19. https://doi.org/10.1016/j.neuropsychologia.2018.12.003

Young children's neural processing of their mother’s voice: An fMRI study

Neuropsychologia / Jan 01, 2019

Liu, P., Cole, P. M., Gilmore, R. O., Pérez-Edgar, K. E., Vigeant, M. C., Moriarty, P., & Scherf, K. S. (2019). Young children’s neural processing of their mother’s voice: An fMRI study. Neuropsychologia, 122, 11–19. https://doi.org/10.1016/j.neuropsychologia.2018.12.003

Configural processing in autism and its relationship to face processing

Neuropsychologia / Jan 01, 2006

Behrmann, M., Avidan, G., Leonard, G. L., Kimchi, R., Luna, B., Humphreys, K., & Minshew, N. (2006). Configural processing in autism and its relationship to face processing. Neuropsychologia, 44(1), 110–129. https://doi.org/10.1016/j.neuropsychologia.2005.04.002

The Privileged Status of Peer Faces: Subordinate-level Neural Representations of Faces in Emerging Adults

Journal of Cognitive Neuroscience / Jan 01, 2023

Dai, J., & Scherf, K. S. (2023). The Privileged Status of Peer Faces: Subordinate-level Neural Representations of Faces in Emerging Adults. Journal of Cognitive Neuroscience, 35(4), 715–735. https://doi.org/10.1162/jocn_a_01966

Changes in Cortical Coherence Supporting Complex Visual and Social Processing in Adolescence

Journal of Cognitive Neuroscience / Oct 01, 2021

Lerner, Y., Scherf, K. S., Katkov, M., Hasson, U., & Behrmann, M. (2021). Changes in Cortical Coherence Supporting Complex Visual and Social Processing in Adolescence. Journal of Cognitive Neuroscience, 33(11), 2215–2230. https://doi.org/10.1162/jocn_a_01756

Puberty and functional brain development in humans: Convergence in findings?

Developmental Cognitive Neuroscience / Oct 01, 2019

Dai, J., & Scherf, K. S. (2019). Puberty and functional brain development in humans: Convergence in findings? Developmental Cognitive Neuroscience, 39, 100690. https://doi.org/10.1016/j.dcn.2019.100690

A theoretical rut: revisiting and critically evaluating the generalized under/over‐connectivity hypothesis of autism

Developmental Science / Jul 01, 2016

Picci, G., Gotts, S. J., & Scherf, K. S. (2016). A theoretical rut: revisiting and critically evaluating the generalized under/over‐connectivity hypothesis of autism. Developmental Science, 19(4), 524–549. Portico. https://doi.org/10.1111/desc.12467

Animal, but not human, faces engage the distributed face network in adolescents with autism

Developmental Science / Apr 14, 2015

Whyte, E. M., Behrmann, M., Minshew, N. J., Garcia, N. V., & Scherf, K. S. (2015). Animal, but not human, faces engage the distributed face network in adolescents with autism. Developmental Science, 19(2), 306–317. Portico. https://doi.org/10.1111/desc.12305

Size Precedes View: Developmental Emergence of Invariant Object Representations in Lateral Occipital Complex

Journal of Cognitive Neuroscience / Mar 01, 2015

Nishimura, M., Scherf, K. S., Zachariou, V., Tarr, M. J., & Behrmann, M. (2015). Size Precedes View: Developmental Emergence of Invariant Object Representations in Lateral Occipital Complex. Journal of Cognitive Neuroscience, 27(3), 474–491. https://doi.org/10.1162/jocn_a_00720

Individual differences in symptom severity and behavior predict neural activation during face processing in adolescents with autism

NeuroImage: Clinical / Jan 01, 2015

Scherf, K. S., Elbich, D., Minshew, N., & Behrmann, M. (2015). Individual differences in symptom severity and behavior predict neural activation during face processing in adolescents with autism. NeuroImage: Clinical, 7, 53–67. https://doi.org/10.1016/j.nicl.2014.11.003

Emerging Structure-Function Relations in the Developing Face Processing System

Cerebral Cortex / Jun 13, 2013

Scherf, K. S., Thomas, C., Doyle, J., & Behrmann, M. (2013). Emerging Structure-Function Relations in the Developing Face Processing System. Cerebral Cortex, 24(11), 2964–2980. https://doi.org/10.1093/cercor/bht152

"What" Precedes "Which": Developmental Neural Tuning in Face- and Place-Related Cortex

Cerebral Cortex / Jan 21, 2011

Scherf, K. S., Luna, B., Avidan, G., & Behrmann, M. (2011). “What” Precedes “Which”: Developmental Neural Tuning in Face- and Place-Related Cortex. Cerebral Cortex, 21(9), 1963–1980. https://doi.org/10.1093/cercor/bhq269

Kayvan Najarian

Professor of Comp Med and Bioinf, Emergency Med, and Electrical and Comp Engineering
Most Relevant Research Interests
bioinformatics
Health Informatics
Other Research Interests (58)
biomedical inforamtics
singal processing
image processing
machine learning
General Immunology and Microbiology
And 53 more
Most Relevant Publications (15+)

106 total publications

Extraction of skin lesions from non-dermoscopic images for surgical excision of melanoma

International Journal of Computer Assisted Radiology and Surgery / Mar 24, 2017

Jafari, M. H., Nasr-Esfahani, E., Karimi, N., Soroushmehr, S. M. R., Samavi, S., & Najarian, K. (2017). Extraction of skin lesions from non-dermoscopic images for surgical excision of melanoma. International Journal of Computer Assisted Radiology and Surgery, 12(6), 1021–1030. https://doi.org/10.1007/s11548-017-1567-8

Segmentation of vessels in angiograms using convolutional neural networks

Biomedical Signal Processing and Control / Feb 01, 2018

Nasr-Esfahani, E., Karimi, N., Jafari, M. H., Soroushmehr, S. M. R., Samavi, S., Nallamothu, B. K., & Najarian, K. (2018). Segmentation of vessels in angiograms using convolutional neural networks. Biomedical Signal Processing and Control, 40, 240–251. https://doi.org/10.1016/j.bspc.2017.09.012

Automated ventricular systems segmentation in brain CT images by combining low-level segmentation and high-level template matching

BMC Medical Informatics and Decision Making / Nov 03, 2009

Chen, W., Smith, R., Ji, S.-Y., Ward, K. R., & Najarian, K. (2009). Automated ventricular systems segmentation in brain CT images by combining low-level segmentation and high-level template matching. BMC Medical Informatics and Decision Making, 9(S1). https://doi.org/10.1186/1472-6947-9-s1-s4

Accounting for Label Uncertainty in Machine Learning for Detection of Acute Respiratory Distress Syndrome

IEEE Journal of Biomedical and Health Informatics / Jan 01, 2019

Reamaroon, N., Sjoding, M. W., Lin, K., Iwashyna, T. J., & Najarian, K. (2019). Accounting for Label Uncertainty in Machine Learning for Detection of Acute Respiratory Distress Syndrome. IEEE Journal of Biomedical and Health Informatics, 23(1), 407–415. https://doi.org/10.1109/jbhi.2018.2810820

A comparative analysis of multi-level computer-assisted decision making systems for traumatic injuries

BMC Medical Informatics and Decision Making / Jan 14, 2009

Ji, S.-Y., Smith, R., Huynh, T., & Najarian, K. (2009). A comparative analysis of multi-level computer-assisted decision making systems for traumatic injuries. BMC Medical Informatics and Decision Making, 9(1). https://doi.org/10.1186/1472-6947-9-2

Private naive bayes classification of personal biomedical data: Application in cancer data analysis

Computers in Biology and Medicine / Feb 01, 2019

Wood, A., Shpilrain, V., Najarian, K., & Kahrobaei, D. (2019). Private naive bayes classification of personal biomedical data: Application in cancer data analysis. Computers in Biology and Medicine, 105, 144–150. https://doi.org/10.1016/j.compbiomed.2018.11.018

Non-linear dynamical signal characterization for prediction of defibrillation success through machine learning

BMC Medical Informatics and Decision Making / Oct 15, 2012

Shandilya, S., Ward, K., Kurz, M., & Najarian, K. (2012). Non-linear dynamical signal characterization for prediction of defibrillation success through machine learning. BMC Medical Informatics and Decision Making, 12(1). https://doi.org/10.1186/1472-6947-12-116

Multiple abnormality detection for automatic medical image diagnosis using bifurcated convolutional neural network

Biomedical Signal Processing and Control / Mar 01, 2020

Hajabdollahi, M., Esfandiarpoor, R., Sabeti, E., Karimi, N., Soroushmehr, S. M. R., & Samavi, S. (2020). Multiple abnormality detection for automatic medical image diagnosis using bifurcated convolutional neural network. Biomedical Signal Processing and Control, 57, 101792. https://doi.org/10.1016/j.bspc.2019.101792

Electrocardiogram characteristics prior to in-hospital cardiac arrest

Journal of Clinical Monitoring and Computing / Sep 19, 2014

Attin, M., Feld, G., Lemus, H., Najarian, K., Shandilya, S., Wang, L., Sabouriazad, P., & Lin, C.-D. (2014). Electrocardiogram characteristics prior to in-hospital cardiac arrest. Journal of Clinical Monitoring and Computing, 29(3), 385–392. https://doi.org/10.1007/s10877-014-9616-0

A hierarchical expert-guided machine learning framework for clinical decision support systems: an application to traumatic brain injury prognostication

npj Digital Medicine / May 07, 2021

Farzaneh, N., Williamson, C. A., Gryak, J., & Najarian, K. (2021). A hierarchical expert-guided machine learning framework for clinical decision support systems: an application to traumatic brain injury prognostication. Npj Digital Medicine, 4(1). https://doi.org/10.1038/s41746-021-00445-0

Signal quality measure for pulsatile physiological signals using morphological features: Applications in reliability measure for pulse oximetry

Informatics in Medicine Unlocked / Jan 01, 2019

Sabeti, E., Reamaroon, N., Mathis, M., Gryak, J., Sjoding, M., & Najarian, K. (2019). Signal quality measure for pulsatile physiological signals using morphological features: Applications in reliability measure for pulse oximetry. Informatics in Medicine Unlocked, 16, 100222. https://doi.org/10.1016/j.imu.2019.100222

Segmentation of bleeding regions in wireless capsule endoscopy for detection of informative frames

Biomedical Signal Processing and Control / Aug 01, 2019

Hajabdollahi, M., Esfandiarpoor, R., Khadivi, P., Soroushmehr, S. M. R., Karimi, N., Najarian, K., & Samavi, S. (2019). Segmentation of bleeding regions in wireless capsule endoscopy for detection of informative frames. Biomedical Signal Processing and Control, 53, 101565. https://doi.org/10.1016/j.bspc.2019.101565

Heart rate variability analysis during central hypovolemia using wavelet transformation

Journal of Clinical Monitoring and Computing / Feb 01, 2013

Ji, S.-Y., Belle, A., Ward, K. R., Ryan, K. L., Rickards, C. A., Convertino, V. A., & Najarian, K. (2013). Heart rate variability analysis during central hypovolemia using wavelet transformation. Journal of Clinical Monitoring and Computing, 27(3), 289–302. https://doi.org/10.1007/s10877-013-9434-9

Adaptive Real-Time Removal of Impulse Noise in Medical Images

Journal of Medical Systems / Oct 02, 2018

HosseinKhani, Z., Hajabdollahi, M., Karimi, N., Soroushmehr, R., Shirani, S., Najarian, K., & Samavi, S. (2018). Adaptive Real-Time Removal of Impulse Noise in Medical Images. Journal of Medical Systems, 42(11). https://doi.org/10.1007/s10916-018-1074-7

A Novel Tropical Geometry-Based Interpretable Machine Learning Method: Pilot Application to Delivery of Advanced Heart Failure Therapies

IEEE Journal of Biomedical and Health Informatics / Jan 01, 2023

Yao, H., Derksen, H., Golbus, J. R., Zhang, J., Aaronson, K. D., Gryak, J., & Najarian, K. (2023). A Novel Tropical Geometry-Based Interpretable Machine Learning Method: Pilot Application to Delivery of Advanced Heart Failure Therapies. IEEE Journal of Biomedical and Health Informatics, 27(1), 239–250. https://doi.org/10.1109/jbhi.2022.3211765

Aminda J. O'Hare

Director of Neuroscience and Associate Professor of Psychological Science at Weber State University
Most Relevant Research Interests
Cognitive Neuroscience
Other Research Interests (17)
Cognitive and Affective Neuroscience
Cognition-Emotion Interactions
Anxiety
Mindfulness
Psychiatry and Mental health
And 12 more
About
Dr. Aminda O’Hare is the Director of Neuroscience and an associate professor of Psychological Science at Weber State University in Ogden, UT. She specializes in teaching topics in affective and cognitive neuroscience both in the classroom and in her research lab. The CAPES Lab (Cognitive and Affective Psychophysiology and Experimental Science Lab) is particularly interested in how training in mindfulness practices alters emotion-cognition interactions in the brain. Aminda is an advocate for incorporating practices of wellbeing and healthy habits of mind into higher education for all participants in campus communities (i.e., students, staff, faculty). Aminda loves the outdoors, being in the mountains, spending time with her husband, and being with her dogs and cats.
Most Relevant Publications (5+)

25 total publications

Processing of Emotional Distraction Is Both Automatic and Modulated by Attention: Evidence from an Event-related fMRI Investigation

Journal of Cognitive Neuroscience / May 01, 2012

Shafer, A. T., Matveychuk, D., Penney, T., O’Hare, A. J., Stokes, J., & Dolcos, F. (2012). Processing of Emotional Distraction Is Both Automatic and Modulated by Attention: Evidence from an Event-related fMRI Investigation. Journal of Cognitive Neuroscience, 24(5), 1233–1252. https://doi.org/10.1162/jocn_a_00206

Increased neural sensitivity to self‐relevant stimuli in major depressive disorder

Psychophysiology / Feb 22, 2019

Benau, E. M., Hill, K. E., Atchley, R. A., O’Hare, A. J., Gibson, L. J., Hajcak, G., Ilardi, S. S., & Foti, D. (2019). Increased neural sensitivity to self‐relevant stimuli in major depressive disorder. Psychophysiology, 56(7). Portico. https://doi.org/10.1111/psyp.13345

Individual differences in social intelligence and perception of emotion expression of masked and unmasked faces

Cognitive Research: Principles and Implications / Jun 28, 2022

Swain, R. H., O’Hare, A. J., Brandley, K., & Gardner, A. T. (2022). Individual differences in social intelligence and perception of emotion expression of masked and unmasked faces. Cognitive Research: Principles and Implications, 7(1). https://doi.org/10.1186/s41235-022-00408-3

Emotion disrupts neural activity during selective attention in psychopathy

Social Cognitive and Affective Neuroscience / Dec 29, 2011

Sadeh, N., Spielberg, J. M., Heller, W., Herrington, J. D., Engels, A. S., Warren, S. L., Crocker, L. D., Sutton, B. P., & Miller, G. A. (2011). Emotion disrupts neural activity during selective attention in psychopathy. Social Cognitive and Affective Neuroscience, 8(3), 235–246. https://doi.org/10.1093/scan/nsr092

Neural Correlates of Local and Global Expectations: A Test of the Janus Model

NeuroImage / Jul 01, 2009

Dien, J., & O’Hare, A. (2009). Neural Correlates of Local and Global Expectations: A Test of the Janus Model. NeuroImage, 47, S189. https://doi.org/10.1016/s1053-8119(09)72120-2

Suhas Chelian

Lead in machine learning, neuroscience
Most Relevant Research Interests
Cognitive Neuroscience
Other Research Interests (6)
machine learning
computer vision
neuroscience
General Environmental Science
Artificial Intelligence
And 1 more
About
Team lead in machine learning, neuroscience. <br> I have captured and executed projects for DARPA, NASA, and several international clients (GM, Toyota, Fujitsu). \* 12 projects transitioned--$10M revenue captured (31+ publications, 32+ patents) \* 9 awards including those from NASA, GM, and HRL Laboratories \* I also have startup, contracting and consulting experience \* US citizen (authorized to work) <br> Last updated: Aug 30, 2023
Most Relevant Publications (5+)

18 total publications

Executive control of cognitive agents using a biologically inspired model architecture of the prefrontal cortex

Biologically Inspired Cognitive Architectures / Oct 01, 2012

Srinivasa, N., & Chelian, S. E. (2012). Executive control of cognitive agents using a biologically inspired model architecture of the prefrontal cortex. Biologically Inspired Cognitive Architectures, 2, 13–24. https://doi.org/10.1016/j.bica.2012.07.001

Application of a neural network model of prefrontal cortex to emulate human probability matching behavior

Biologically Inspired Cognitive Architectures / Oct 01, 2014

Chelian, S. E., Uhlenbrock, R. M., Herd, S., & Bhattacharyya, R. (2014). Application of a neural network model of prefrontal cortex to emulate human probability matching behavior. Biologically Inspired Cognitive Architectures, 10, 10–16. https://doi.org/10.1016/j.bica.2014.11.002

Forensic foraging of change detection in opponent strategies with a neural model of the interactions between temporal and prefrontal cortex

Biologically Inspired Cognitive Architectures / Oct 01, 2014

Phillips, M. E., Chelian, S. E., Pirolli, P., & Bhattacharyya, R. (2014). Forensic foraging of change detection in opponent strategies with a neural model of the interactions between temporal and prefrontal cortex. Biologically Inspired Cognitive Architectures, 10, 17–23. https://doi.org/10.1016/j.bica.2014.11.003

DISCOV (DImensionless Shunting COlor Vision): A neural model for spatial data analysis

Neural Networks / Jan 01, 2013

Carpenter, G. A., & Chelian, S. E. (2013). DISCOV (DImensionless Shunting COlor Vision): A neural model for spatial data analysis. Neural Networks, 37, 93–102. https://doi.org/10.1016/j.neunet.2012.08.012

A model of proactive and reactive cognitive control with anterior cingulate cortex and the neuromodulatory system

Biologically Inspired Cognitive Architectures / Oct 01, 2014

Ziegler, M. D., Chelian, S. E., Benvenuto, J., Krichmar, J. L., O’Reilly, R., & Bhattacharyya, R. (2014). A model of proactive and reactive cognitive control with anterior cingulate cortex and the neuromodulatory system. Biologically Inspired Cognitive Architectures, 10, 61–67. https://doi.org/10.1016/j.bica.2014.11.008

Niko Popitsch

Senior Bioinformatician, University of Vienna
Most Relevant Research Interests
Bioinformatics
Statistics and Probability
Other Research Interests (14)
Genetics (clinical)
General Biochemistry, Genetics and Molecular Biology
Multidisciplinary
Genetics
Molecular Biology
And 9 more
Most Relevant Publications (4+)

63 total publications

ReliableGenome: annotation of genomic regions with high/low variant calling concordance

Bioinformatics / Sep 07, 2016

Popitsch, N., Schuh, A., & Taylor, J. C. (2016). ReliableGenome: annotation of genomic regions with high/low variant calling concordance. Bioinformatics, 33(2), 155–160. https://doi.org/10.1093/bioinformatics/btw587

CODOC: efficient access, analysis and compression of depth of coverage signals

Bioinformatics / May 28, 2014

Popitsch, N. (2014). CODOC: efficient access, analysis and compression of depth of coverage signals. Bioinformatics, 30(18), 2676–2677. https://doi.org/10.1093/bioinformatics/btu362

VARAN-GIE: curation of genomic interval sets

Bioinformatics / Aug 21, 2018

Popitsch, N. (2018). VARAN-GIE: curation of genomic interval sets. Bioinformatics, 35(5), 868–870. https://doi.org/10.1093/bioinformatics/bty723

Nanopanel2 calls phased low-frequency variants in Nanopore panel sequencing data

Bioinformatics / Jul 16, 2021

Popitsch, N., Preuner, S., & Lion, T. (2021). Nanopanel2 calls phased low-frequency variants in Nanopore panel sequencing data. Bioinformatics, 37(24), 4620–4625. https://doi.org/10.1093/bioinformatics/btab526

Barry Setlow

Dept. of Psychiatry; Center for Addiction Research and Education, University of Florida
Most Relevant Research Interests
Cognitive Neuroscience
Other Research Interests (36)
Neuroscience
General Neuroscience
Cellular and Molecular Neuroscience
Neuropsychology and Physiological Psychology
Psychiatry and Mental health
And 31 more
Most Relevant Publications (15+)

111 total publications

Lesions of Orbitofrontal Cortex and Basolateral Amygdala Complex Disrupt Acquisition of Odor-Guided Discriminations and Reversals

Learning &amp; Memory / Mar 01, 2003

Schoenbaum, G., Setlow, B., Nugent, S. L., Saddoris, M. P., & Gallagher, M. (2003). Lesions of Orbitofrontal Cortex and Basolateral Amygdala Complex Disrupt Acquisition of Odor-Guided Discriminations and Reversals. Learning &amp; Memory, 10(2), 129–140. https://doi.org/10.1101/lm.55203

Integrating Orbitofrontal Cortex into Prefrontal Theory: Common Processing Themes across Species and Subdivisions

Learning &amp; Memory / May 01, 2001

Schoenbaum, G., & Setlow, B. (2001). Integrating Orbitofrontal Cortex into Prefrontal Theory: Common Processing Themes across Species and Subdivisions. Learning &amp; Memory, 8(3), 134–147. https://doi.org/10.1101/lm.39901

Acute vagus nerve stimulation enhances reversal learning in rats

Neurobiology of Learning and Memory / Oct 01, 2021

Altidor, L. K.-P., Bruner, M. M., Deslauriers, J. F., Garman, T. S., Ramirez, S., Dirr, E. W., Olczak, K. P., Maurer, A. P., Lamb, D. G., Otto, K. J., Burke, S. N., Bumanglag, A. V., Setlow, B., & Bizon, J. L. (2021). Acute vagus nerve stimulation enhances reversal learning in rats. Neurobiology of Learning and Memory, 184, 107498. https://doi.org/10.1016/j.nlm.2021.107498

Enhancing effects of acute exposure to cannabis smoke on working memory performance

Neurobiology of Learning and Memory / Jan 01, 2019

Blaes, S. L., Orsini, C. A., Holik, H. M., Stubbs, T. D., Ferguson, S. N., Heshmati, S. C., Bruner, M. M., Wall, S. C., Febo, M., Bruijnzeel, A. W., Bizon, J. L., & Setlow, B. (2019). Enhancing effects of acute exposure to cannabis smoke on working memory performance. Neurobiology of Learning and Memory, 157, 151–162. https://doi.org/10.1016/j.nlm.2018.12.001

Deconstructing value-based decision making via temporally selective manipulation of neural activity: Insights from rodent models

Cognitive, Affective, &amp; Behavioral Neuroscience / Oct 18, 2018

Orsini, C. A., Hernandez, C. M., Bizon, J. L., & Setlow, B. (2018). Deconstructing value-based decision making via temporally selective manipulation of neural activity: Insights from rodent models. Cognitive, Affective, &amp; Behavioral Neuroscience, 19(3), 459–476. https://doi.org/10.3758/s13415-018-00649-0

Deficits in hippocampal‐dependent transfer generalization learning accompany synaptic dysfunction in a mouse model of amyloidosis

Hippocampus / Oct 19, 2015

Montgomery, K. S., Edwards, G., Levites, Y., Kumar, A., Myers, C. E., Gluck, M. A., Setlow, B., & Bizon, J. L. (2015). Deficits in hippocampal‐dependent transfer generalization learning accompany synaptic dysfunction in a mouse model of amyloidosis. Hippocampus, 26(4), 455–471. Portico. https://doi.org/10.1002/hipo.22535

Affective and cognitive mechanisms of risky decision making

Neurobiology of Learning and Memory / Jan 01, 2015

Shimp, K. G., Mitchell, M. R., Beas, B. S., Bizon, J. L., & Setlow, B. (2015). Affective and cognitive mechanisms of risky decision making. Neurobiology of Learning and Memory, 117, 60–70. https://doi.org/10.1016/j.nlm.2014.03.002

Neural mechanisms regulating different forms of risk-related decision-making: Insights from animal models

Neuroscience &amp; Biobehavioral Reviews / Nov 01, 2015

Orsini, C. A., Moorman, D. E., Young, J. W., Setlow, B., & Floresco, S. B. (2015). Neural mechanisms regulating different forms of risk-related decision-making: Insights from animal models. Neuroscience &amp; Biobehavioral Reviews, 58, 147–167. https://doi.org/10.1016/j.neubiorev.2015.04.009

Cocaine self-administration alters the relative effectiveness of multiple memory systems during extinction

Learning &amp; Memory / Apr 23, 2009

Gabriele, A., Setlow, B., & Packard, M. G. (2009). Cocaine self-administration alters the relative effectiveness of multiple memory systems during extinction. Learning &amp; Memory, 16(5), 296–299. https://doi.org/10.1101/lm.1253409

Long-term effects of prior cocaine exposure on Morris water maze performance

Neurobiology of Learning and Memory / Feb 01, 2008

Mendez, I. A., Montgomery, K. S., LaSarge, C. L., Simon, N. W., Bizon, J. L., & Setlow, B. (2008). Long-term effects of prior cocaine exposure on Morris water maze performance. Neurobiology of Learning and Memory, 89(2), 185–191. https://doi.org/10.1016/j.nlm.2007.08.005

Post-training amphetamine administration enhances memory consolidation in appetitive Pavlovian conditioning: Implications for drug addiction

Neurobiology of Learning and Memory / Nov 01, 2006

SIMON, N., & SETLOW, B. (2006). Post-training amphetamine administration enhances memory consolidation in appetitive Pavlovian conditioning: Implications for drug addiction. Neurobiology of Learning and Memory, 86(3), 305–310. https://doi.org/10.1016/j.nlm.2006.04.005

Cocaine Makes Actions Insensitive to Outcomes but not Extinction: Implications for Altered Orbitofrontal–Amygdalar Function

Cerebral Cortex / Nov 24, 2004

Schoenbaum, G., & Setlow, B. (2004). Cocaine Makes Actions Insensitive to Outcomes but not Extinction: Implications for Altered Orbitofrontal–Amygdalar Function. Cerebral Cortex, 15(8), 1162–1169. https://doi.org/10.1093/cercor/bhh216

D2 Dopamine Receptor Blockade Immediately Post-training Enhances Retention in Hidden and Visible Platform Versions of the Water Maze

Learning &amp; Memory / May 01, 2000

Setlow, B., & McGaugh, J. L. (2000). D2 Dopamine Receptor Blockade Immediately Post-training Enhances Retention in Hidden and Visible Platform Versions of the Water Maze. Learning &amp; Memory, 7(3), 187–191. https://doi.org/10.1101/lm.7.3.187