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Proceedings of the National Academy of Sciences of the United States of America|December 28, 2012
High-order feature-based mixture models of classification learning predict individual learning curves and enable personalized teachingYarden Cohen, Elad SchneidmanNeuron|January 23, 2021
The geometry of neuronal representations during rule learning reveals complementary roles of cingulate cortex and putamenYarden Cohen, Elad Schneidman, Rony PazCurrent Opinion in Neurobiology|March 27, 2016
Towards the design principles of neural population codesElad SchneidmanElife|August 26, 2020
Social interactions drive efficient foraging and income equality in groups of fishRoy Harpaz, Elad SchneidmanProceedings of the National Academy of Sciences of the United States of America|November 18, 2025
Building the connectome of a small brain with a simple stochastic developmental generative modelOren Richter, Elad SchneidmanElife|December 16, 2024
Homeostatic synaptic normalization optimizes learning in network models of neural population codesJonathan Mayzel, Elad SchneidmanFrontiers in Integrative Neuroscience|November 19, 2019
Generalization of Object Localization From Whiskers to Other Body Parts in Freely Moving RatsDavid Deutsch, Elad Schneidman, Ehud AhissarThe Journal of Neuroscience : the Official Journal of the Society for Neuroscience|March 19, 2011
The architecture of functional interaction networks in the retinaElad Ganmor, Ronen Segev, Elad SchneidmanProceedings of the National Academy of Sciences of the United States of America|September 7, 2017
Discrete modes of social information processing predict individual behavior of fish in a groupRoy Harpaz, Gašper Tkačik, Elad SchneidmanPlos One|November 9, 2013
Adaptive colour contrast coding in the salamander retina efficiently matches natural scene statisticsGenadiy Vasserman, Elad Schneidman, Ronen SegevPageof 6