Shany Grossman

• BA in Cognitive Sciences and Amirim program, 2012, Hebrew University of Jerusalem, Israel
• PhD in Neurobiology, 2020, Weizmann Institute of Science, Israel

Research interests

• Learning and decision making
• Evolution of task state representations in visual and frontal cortices
• Linking neural networks models to brain signals
• Multivariate fMRI analyses, intracranial recordings (iEEG)

Selected publications

Broday-Dvir, R., Grossman, S., Furman-Haran, E., & Malach, R. (2018). Quenching of spontaneous fluctuations by attention in human visual cortex. Neuroimage, 171, 84-98. https://doi.org/10.1016/j.neuroimage.2017.12.089

Grossman, S., Gaziv, G., Yeagle, E. M., Harel, M., Mégevand, P., Groppe, D. M., Khuvis, S., Herrero, J. L., Irani, M., Mehta, A. D., & Malach, R. (2019). Convergent evolution of face spaces across human face-selective neuronal groups and deep convolutional networks. Nature Communications, 10(1), 4934. https://doi.org/10.1038/s41467-019-12623-6

Grossman, S., Gueta, C., Pesin, S., Malach, R., & Landau, A. N. (2019). Where Does Time Go When You Blink? Psychol Sci, 30(6), 907-916. https://doi.org/10.1177/0956797619842198

Grossman, S., Yeagle, E. M., Harel, M., Espinal, E., Harpaz, R., Noy, N., Mégevand, P., Groppe, D. M., Mehta, A. D., & Malach, R. (2019). The Noisy Brain: Power of Resting-State Fluctuations Predicts Individual Recognition Performance. Cell Rep, 29(12), 3775-3784.e3774. https://doi.org/10.1016/j.celrep.2019.11.081