Jingyang Zhou

Flatiron Institute, New York University

Research Expertise

computational neuroscience

perceptual theory

experimental psychology

About

I have been working on the theory and the experimental side of cognitive and perceptual psychology,

Publications

Compressive Temporal Summation in Human Visual Cortex

The Journal of Neuroscience / Nov 30, 2017

Zhou, J., Benson, N. C., Kay, K. N., & Winawer, J. (2017). Compressive Temporal Summation in Human Visual Cortex. The Journal of Neuroscience, 38(3), 691–709. https://doi.org/10.1523/jneurosci.1724-17.2017

Predicting neuronal dynamics with a delayed gain control model

PLOS Computational Biology / Nov 20, 2019

Zhou, J., Benson, N. C., Kay, K., & Winawer, J. (2019). Predicting neuronal dynamics with a delayed gain control model. PLOS Computational Biology, 15(11), e1007484. https://doi.org/10.1371/journal.pcbi.1007484

A unified framework for perceived magnitude and dicriminability of sensory stimuli

May 04, 2022

Zhou, J., Duong, L. R., & Simoncelli, E. P. (2022). A unified framework for perceived magnitude and dicriminability of sensory stimuli. https://doi.org/10.1101/2022.04.30.490146

How Does Perceptual Discriminability Relate to Neuronal Receptive Fields?

Dec 22, 2022

Zhou, J., & Chun, C. (2022). How Does Perceptual Discriminability Relate to Neuronal Receptive Fields? https://doi.org/10.1101/2022.12.21.521510

Using fMRI to link crowding to hV4

Journal of Vision / Sep 06, 2019

Burchell, A., Benson, N. C., Zhou, J. Y., Winawer, J. A., & Pelli, D. G. (2019). Using fMRI to link crowding to hV4. Journal of Vision, 19(10), 14a. https://doi.org/10.1167/19.10.14a

Conservation of crowding distance in human V4

Journal of Vision / Dec 01, 2017

Zhou, J., Benson, N., Pelli, D., & Winawer, J. (2017). Conservation of crowding distance in human V4. Journal of Vision, 17(15), 19. https://doi.org/10.1167/17.15.19

A unified framework for perceived magnitude and discriminability of sensory stimuli

Proceedings of the National Academy of Sciences / Jun 10, 2024

Zhou, J., Duong, L. R., & Simoncelli, E. P. (2024). A unified framework for perceived magnitude and discriminability of sensory stimuli. Proceedings of the National Academy of Sciences, 121(25). https://doi.org/10.1073/pnas.2312293121

Disentangling signal and noise in neural responses through generative modeling

Apr 27, 2024

Kay, K., Prince, J. S., Gebhart, T., Tuckute, G., Zhou, J., Naselaris, T., & Schutt, H. (2024). Disentangling signal and noise in neural responses through generative modeling. https://doi.org/10.1101/2024.04.22.590510

Compressive Temporal Summation in Human Visual Cortex

Jun 30, 2017

Zhou, J., Benson, N. C., Kay, K., & Winawer, J. (2017). Compressive Temporal Summation in Human Visual Cortex. https://doi.org/10.1101/157628

Comparing neural models using their perceptual discriminability predictions

Nov 17, 2023

Zhou, J. Y., Chun, C., Subramanian, A., & Simoncelli, E. P. (2023). Comparing neural models using their perceptual discriminability predictions. https://doi.org/10.1101/2023.11.17.567604

Conservation of crowding distance in human V4

Journal of Vision / Sep 01, 2018

Zhou, J., Benson, N., Winawer, J., & Pelli, D. (2018). Conservation of crowding distance in human V4. Journal of Vision, 18(10), 856. https://doi.org/10.1167/18.10.856

Unifying Temporal Phenomena in Human Visual Cortex

Feb 14, 2017

Zhou, J., Benson, N. C., Kay, K., & Winawer, J. (2017). Unifying Temporal Phenomena in Human Visual Cortex. https://doi.org/10.1101/108639

Temporal Summation and Adaptation in Human Visual Cortex

Journal of Vision / Sep 01, 2016

Zhou, J., Benson, N., Kay, K., & Winawer, J. (2016). Temporal Summation and Adaptation in Human Visual Cortex. Journal of Vision, 16(12), 1228. https://doi.org/10.1167/16.12.1228

Disparate nonlinear neural dynamics measured with different techniques in macaque and human V1

Scientific Reports / Jun 08, 2024

Zhou, J., Whitmire, M., Chen, Y., & Seidemann, E. (2024). Disparate nonlinear neural dynamics measured with different techniques in macaque and human V1. Scientific Reports, 14(1). https://doi.org/10.1038/s41598-024-63685-6

Quantifying and predicting chromatic thresholds

Jun 07, 2023

Zhou, J. (2023). Quantifying and predicting chromatic thresholds. https://doi.org/10.1101/2023.06.06.543898

Delayed normalization model captures disparate nonlinear neural dynamics measured with different techniques in macaque and human V1

Feb 01, 2023

Zhou, J., Whitmire, M., Chen, Y., & Seidemann, E. (2023). Delayed normalization model captures disparate nonlinear neural dynamics measured with different techniques in macaque and human V1. https://doi.org/10.1101/2023.01.30.525700

Near-additive temporal dynamics of sub-threshold population responses in macaque V1

Journal of Vision / Dec 05, 2022

Zhou, J., Whitmire, M., Chen, Y., & Seidemann, E. (2022). Near-additive temporal dynamics of sub-threshold population responses in macaque V1. Journal of Vision, 22(14), 3105. https://doi.org/10.1167/jov.22.14.3105

Fechner and Stevens can co-exist under Fisher’s roof

Journal of Vision / Sep 27, 2021

Zhou, J., Duong, L. R., & Simoncelli, E. P. (2021). Fechner and Stevens can co-exist under Fisher’s roof. Journal of Vision, 21(9), 2170. https://doi.org/10.1167/jov.21.9.2170

Temporal windows in psychophysical discrimination and in neural responses in human visual cortex

Journal of Vision / Aug 31, 2017

Zhou, J., Choi, S., & Winawer, J. (2017). Temporal windows in psychophysical discrimination and in neural responses in human visual cortex. Journal of Vision, 17(10), 191. https://doi.org/10.1167/17.10.191

The first historical account of Vietnam mathematics on arXiv

Jun 01, 2022

Ants, S. (2022). The first historical account of Vietnam mathematics on arXiv. https://doi.org/10.31219/osf.io/k7pwf

Education

New York University

PhD candidate, Psychology / September, 2019

NYC, New York, United States of America

Experience

Flatiron Institute

Research Fellow / September, 2019 — October, 2024

Links & Social Media

Research Web Site

Join Jing on NotedSource!

Join Now

At NotedSource, we believe that professors, post-docs, scientists and other researchers have deep, untapped knowledge and expertise that can be leveraged to drive innovation within companies. NotedSource is committed to bridging the gap between academia and industry by providing a platform for collaboration with industry and networking with other researchers.

For industry, NotedSource identifies the right academic experts in 24 hours to help organizations build and grow. With a platform of thousands of knowledgeable PhDs, scientists, and industry experts, NotedSource makes connecting and collaborating easy.

For academic researchers such as professors, post-docs, and Ph.D.s, NotedSource provides tools to discover and connect to your colleagues with messaging and news feeds, in addition to the opportunity to be paid for your collaboration with vetted partners.