Work with academic experts in cellular and molecular neuroscience

A scholar or researcher with expertise in cellular and molecular neuroscience can help business and industrial clients solve their cellular and molecular neuroscience problems and conduct cellular and molecular neuroscience research to get ahead on R&D. Experts on NotedSource with backgrounds in cellular and molecular neuroscience include Jeffrey Townsend, Edoardo Airoldi, Yseult Héjja-Brichard, Ph.D., John Joe, and Anna Koster.

Jeffrey Townsend

Professor of Biostatistics and Ecology & Evolutionary Biology
New Haven, CT
Most Relevant Research Interests
Cellular and Molecular Neuroscience
Other Research Interests (78)
Statistics
cancer genetics
disease modeling
antibiotic resistance
Evolutionary Genomics
And 73 more
About
Most Relevant Publications (2+)

207 total publications

Mechanistic basis of post-treatment control of SIV after anti-α4β7 antibody therapy

PLOS Computational Biology / Jun 09, 2021

Wells, C. R., Cao, Y., Durham, D. P., Byrareddy, S. N., Ansari, A. A., Ruddle, N. H., Townsend, J. P., Galvani, A. P., & Perelson, A. S. (2021). Mechanistic basis of post-treatment control of SIV after anti-α4β7 antibody therapy. PLOS Computational Biology, 17(6), e1009031. https://doi.org/10.1371/journal.pcbi.1009031

Maximum-Likelihood Model Averaging To Profile Clustering of Site Types across Discrete Linear Sequences

PLoS Computational Biology / Jun 26, 2009

Zhang, Z., & Townsend, J. P. (2009). Maximum-Likelihood Model Averaging To Profile Clustering of Site Types across Discrete Linear Sequences. PLoS Computational Biology, 5(6), e1000421. https://doi.org/10.1371/journal.pcbi.1000421

Edoardo Airoldi

Professor of Statistics & Data Science Temple University & PI, Harvard University
Most Relevant Research Interests
Cellular and Molecular Neuroscience
Cellular and Molecular Neuroscience
Other Research Interests (62)
Statistics
Causal Inference
Network Science
Statistical Machine Learning
Computational Biology
And 57 more
About
Most Relevant Publications (4+)

106 total publications

Post-transcriptional regulation across human tissues

PLOS Computational Biology / May 08, 2017

Franks, A., Airoldi, E., & Slavov, N. (2017). Post-transcriptional regulation across human tissues. PLOS Computational Biology, 13(5), e1005535. https://doi.org/10.1371/journal.pcbi.1005535

Mapping Dynamic Histone Acetylation Patterns to Gene Expression in Nanog-Depleted Murine Embryonic Stem Cells

PLoS Computational Biology / Dec 16, 2010

Markowetz, F., Mulder, K. W., Airoldi, E. M., Lemischka, I. R., & Troyanskaya, O. G. (2010). Mapping Dynamic Histone Acetylation Patterns to Gene Expression in Nanog-Depleted Murine Embryonic Stem Cells. PLoS Computational Biology, 6(12), e1001034. https://doi.org/10.1371/journal.pcbi.1001034

Predicting Cellular Growth from Gene Expression Signatures

PLoS Computational Biology / Jan 02, 2009

Airoldi, E. M., Huttenhower, C., Gresham, D., Lu, C., Caudy, A. A., Dunham, M. J., Broach, J. R., Botstein, D., & Troyanskaya, O. G. (2009). Predicting Cellular Growth from Gene Expression Signatures. PLoS Computational Biology, 5(1), e1000257. https://doi.org/10.1371/journal.pcbi.1000257

Getting Started in Probabilistic Graphical Models

PLoS Computational Biology / Dec 07, 2007

Airoldi, E. M. (2007). Getting Started in Probabilistic Graphical Models. PLoS Computational Biology, 3(12), e252. https://doi.org/10.1371/journal.pcbi.0030252

Yseult Héjja-Brichard, Ph.D.

Postdoctoral researcher in Biological Sciences at University of Maryland Baltimore County
Baltimore, Maryland, United States of America
Most Relevant Research Interests
Cellular and Molecular Neuroscience
Other Research Interests (9)
Natural statistics
Visual cognition
Cognitive neuroscience
Sensory ecology
Stereoscopic vision
And 4 more
About
Most Relevant Publications (4+)

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

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

John Joe

Faculty of Health and Medical Sciences, University of Surrey, Guildford, UK
Most Relevant Research Interests
Cellular and Molecular Neuroscience
Other Research Interests (73)
microbiology
systems biology
genetics
quantum biology
Genetics
And 68 more
Most Relevant Publications (1+)

95 total publications

Differential Producibility Analysis (DPA) of Transcriptomic Data with Metabolic Networks: Deconstructing the Metabolic Response of M. tuberculosis

PLoS Computational Biology / Jun 30, 2011

Bonde, B. K., Beste, D. J. V., Laing, E., Kierzek, A. M., & McFadden, J. (2011). Differential Producibility Analysis (DPA) of Transcriptomic Data with Metabolic Networks: Deconstructing the Metabolic Response of M. tuberculosis. PLoS Computational Biology, 7(6), e1002060. https://doi.org/10.1371/journal.pcbi.1002060

Anna Koster

Most Relevant Research Interests
Cellular and Molecular Neuroscience
Other Research Interests (11)
Multidisciplinary
Computational Theory and Mathematics
Multidisciplinary
Genetics
Molecular Biology
And 6 more
Most Relevant Publications (1+)

4 total publications

Dynamical model of the CLC-2 ion channel reveals conformational changes associated with selectivity-filter gating

PLOS Computational Biology / Mar 30, 2020

McKiernan, K. A., Koster, A. K., Maduke, M., & Pande, V. S. (2020). Dynamical model of the CLC-2 ion channel reveals conformational changes associated with selectivity-filter gating. PLOS Computational Biology, 16(3), e1007530. https://doi.org/10.1371/journal.pcbi.1007530