Convergent evolution of face spaces across human face-selective neuronal groups and deep convolutional networks S Grossman, G Gaziv, EM Yeagle, M Harel, P Mégevand, DM Groppe, ... Nature communications 10 (1), 4934, 2019 | 115 | 2019 |
Covert neurofeedback without awareness shapes cortical network spontaneous connectivity M Ramot, S Grossman, D Friedman, R Malach Proceedings of the National Academy of Sciences 113 (17), E2413-E2420, 2016 | 99 | 2016 |
Face-selective units in human ventral temporal cortex reactivate during free recall S Khuvis, EM Yeagle, Y Norman, S Grossman, R Malach, AD Mehta Journal of Neuroscience 41 (15), 3386-3399, 2021 | 30 | 2021 |
Quenching of spontaneous fluctuations by attention in human visual cortex R Broday-Dvir, S Grossman, E Furman-Haran, R Malach Neuroimage 171, 84-98, 2018 | 18 | 2018 |
Where does time go when you blink? S Grossman, C Gueta, S Pesin, R Malach, AN Landau Psychological science 30 (6), 907-916, 2019 | 17 | 2019 |
The noisy brain: power of resting-state fluctuations predicts individual recognition performance S Grossman, EM Yeagle, M Harel, E Espinal, R Harpaz, N Noy, ... Cell reports 29 (12), 3775-3784. e4, 2019 | 13 | 2019 |
Widespread suppression of high-order visual cortex during blinks and external predictable visual interruptions T Golan, S Grossman, LY Deouell, R Malach bioRxiv, 456566, 2018 | 7 | 2018 |
Deep Convolutional modeling of human face selective columns reveals their role in pictorial face representation S Grossman, G Gaziv, EM Yeagle, M Harel, P Mégevand, DM Groppe, ... bioRxiv, 444323, 2018 | 5 | 2018 |
Mé gevand S Grossman, G Gaziv, EM Yeagle, M Harel P., Groppe, DM, Khuvis, S., Herrero, JL, Irani, M., Mehta, AD, and Malach, 0 | 5 | |
Brain–machine convergent evolution: why finding parallels between brain and artificial systems is informative E Simony, S Grossman, R Malach Proceedings of the National Academy of Sciences 121 (41), e2319709121, 2024 | 3 | 2024 |
Representational spaces in orbitofrontal and ventromedial prefrontal cortex: task states, values, and beyond N Moneta, S Grossman, NW Schuck Trends in Neurosciences, 2024 | | 2024 |
Brain-machine convergent evolution: Why finding parallels between brain and artificial systems is informative E Simony, S Grossman, R Malach Proceedings of the National Academy of Sciences of the United States of …, 2024 | | 2024 |
Invariant inter-subject relational structures in the human visual cortex O Lipman, S Grossman, D Friedman, Y Hel-Or, R Malach arXiv preprint arXiv:2407.08714, 2024 | | 2024 |
Learning and adapting cognitive maps for flexible decision-making FM Renz, S Grossman, NW Schuck, P Dayan, CF Doeller Conference on Cognitive Computational Neuroscience (CCN 2023), 999-1001, 2023 | | 2023 |
Brain-Machine convergent evolution: a window into the functional role of neuronal selectivity S Grossman, R Malach PsyArXiv, 2023 | | 2023 |
Replay induced representation changes F Renz, S Grossman, P Dayan, CF Doeller, NW Schuck Scientific Advisory Board (SAB) Meeting, 2023 | | 2023 |
Representation learning facilitates different levels of generalization FM Renz, S Grossman, P Dayan, CF Doeller, NW Schuck Conference on Cognitive Computational Neuroscience (CCN 2022), 460-462, 2022 | | 2022 |
Neural mechanisms of human vision: Deterministic and spontaneous aspects of visual encoding S Grossman PQDT-Global, 2020 | | 2020 |
Eye Blinks, Perception, and Prediction T Golan, S Grossman, I Davidesco, M Meshulam, DM Groppe, ... PERCEPTION 48, 168-168, 2019 | | 2019 |