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Work with thought leaders and academic experts in cognitive neuroscience

Companies can greatly benefit from working with experts in the field of Cognitive Neuroscience. These researchers can provide valuable insights into consumer behavior, decision-making processes, and the impact of various stimuli on the brain. By collaborating with Cognitive Neuroscience experts, companies can enhance their research and development efforts, optimize product design and user experience, and create more effective marketing strategies. Additionally, these experts can help companies understand the neural mechanisms underlying mental health disorders and develop innovative solutions for treatment and prevention. Overall, partnering with Cognitive Neuroscience researchers can lead to improved business outcomes and a competitive edge in the market.

Experts on NotedSource with backgrounds in cognitive neuroscience include Yseult Héjja-Brichard, Ph.D., Daniel Milej, Ph.D., Dr. Charles Lassiter, Ph.D., Jo Boaler, Ryan Howell, Suhas Chelian, Suhang Wang, Sonja Lyubomirsky, Norman Farb, Steve Joordens, Ping Luo, Nora S Vyas, Ph.D., and K. Suzanne Scherf.

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

Daniel Milej, Ph.D.

London, Ontario, Canada
Ph.D. in biomedical engineering
Most Relevant Research Interests
Cognitive Neuroscience
Other Research Interests (37)
Biomedical Optics
NIRS
fNIRS
Diffuse Correlation Spectroscopy
CBF
And 32 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 (1+)

91 total publications

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

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

Jo Boaler

Palo Alto, California, United States of America
Professor of Mathematics Education, Stanford University
Most Relevant Research Interests
Cognitive Neuroscience
Other Research Interests (37)
mathematics
data science
mathematics education
equity
gender
And 32 more
About
Dr Jo Boaler is a Professor of Mathematics Education at Stanford University, and the co-founder of youcubed. Her PhD won the national award for educational research in the UK and her book: Experiencing School Mathematics won the ‘Outstanding Book of the Year’ award for education in Britain. She is an elected fellow of the Royal Society of Arts (Great Britain), and a former president of the International Organization for Women and Mathematics Education (IOWME). She is the recipient of a National Science Foundation ‘Early Career Award’ and the NCSM Kay Gilliland Equity Award (2014). She is the author of nine books and numerous research articles. Her latest book is Mathematical Mindsets: Unleashing Students’ Potential through Creative Math, Inspiring Messages and Innovative Teaching (2016), and is published by Wiley. She serves as an advisor to several Silicon Valley companies.
Most Relevant Publications (1+)

81 total publications

Obituary

Journal of Fluency Disorders / Jun 01, 2015

Obituary. (2015). Journal of Fluency Disorders, 44, 96. https://doi.org/10.1016/s0094-730x(15)00047-9

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
Other Research Interests (42)
Happiness
Psychiatry and Mental health
Clinical Psychology
History and Philosophy of Science
General Psychology
And 37 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 (1+)

66 total publications

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

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

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

Sonja Lyubomirsky

Distinguished Professor, University of California, Riverside
Most Relevant Research Interests
Cognitive Neuroscience
Other Research Interests (38)
well-being
History and Philosophy of Science
General Psychology
General Social Sciences
Sociology and Political Science
And 33 more
About
Professor Lyubomirsky’s research interests include well-being, happiness, self-regulation, and talents. She is widely published, with well over 100 articles and chapters and four books, The How of Happiness (Penguin, 2007), The Myths of Happiness (Penguin, 2013), The How of Happiness Workbook (Penguin, 2008), and Designing Your Life (Avery, 2016). Professor Lyubomirsky has received numerous awards for her work, including the American Psychological Association’s Positive Psychology Prize (2015), the American Psychological Association’s Distinguished Scientific Contribution Award (2009), and a Guggenheim Fellowship (2008-2009). She is a Fellow of the Association for Psychological Science and the American Psychological Association.
Most Relevant Publications (1+)

114 total publications

Experimental effects of social behavior on well-being

Trends in Cognitive Sciences / Nov 01, 2022

Regan, A., Radošić, N., & Lyubomirsky, S. (2022). Experimental effects of social behavior on well-being. Trends in Cognitive Sciences, 26(11), 987–998. https://doi.org/10.1016/j.tics.2022.08.006

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, &amp; 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, &amp; 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

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

Ping Luo

Postdoctoral Researcher at Princess Margaret Cancer Centre with experience in deep learning
Most Relevant Research Interests
Cognitive Neuroscience
Other Research Interests (24)
single-cell genomics
deep learning
complex network analysis
Genetics (clinical)
Genetics
And 19 more
About
8 years of science and engineering experience integrating multi-omics data to identify biomarkers for cancer studies. Seeking to apply data analytics expertise to develop new diagnosis and treatment strategies.
Most Relevant Publications (1+)

23 total publications

CASNMF: A Converged Algorithm for symmetrical nonnegative matrix factorization

Neurocomputing / Jan 01, 2018

Tian, L.-P., Luo, P., Wang, H., Zheng, H., & Wu, F.-X. (2018). CASNMF: A Converged Algorithm for symmetrical nonnegative matrix factorization. Neurocomputing, 275, 2031–2040. https://doi.org/10.1016/j.neucom.2017.10.039

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

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

Example cognitive neuroscience projects

How can companies collaborate more effectively with researchers, experts, and thought leaders to make progress on cognitive neuroscience?

Optimizing User Experience

A tech company can collaborate with a Cognitive Neuroscience expert to optimize the user experience of their digital products. By understanding how the brain processes information and interacts with technology, the researcher can provide valuable insights on improving usability, reducing cognitive load, and enhancing user engagement.

Neuromarketing Research

A marketing agency can partner with a Cognitive Neuroscience researcher to conduct neuromarketing studies. By using techniques such as EEG and fMRI, the researcher can measure consumers' brain responses to marketing stimuli, helping the agency create more persuasive and impactful advertising campaigns.

Understanding Consumer Decision-Making

A consumer goods company can collaborate with a Cognitive Neuroscience expert to gain a deeper understanding of consumer decision-making processes. By studying the neural mechanisms involved in decision-making, the researcher can provide insights on product preferences, pricing strategies, and effective marketing messages.

Developing Brain-Computer Interfaces

A technology company can work with a Cognitive Neuroscience researcher to develop innovative brain-computer interfaces (BCIs). By leveraging their knowledge of neural signals and brain activity, the researcher can contribute to the design and development of BCIs that enable direct communication between the brain and external devices, opening up new possibilities for human-computer interaction.

Improving Mental Health Solutions

A healthcare company can collaborate with a Cognitive Neuroscience expert to improve mental health solutions. By studying the neural basis of mental health disorders, the researcher can contribute to the development of more effective treatments, personalized interventions, and early detection methods.