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Elife|December 16, 2024
Homeostatic synaptic normalization optimizes learning in network models of neural population codesJonathan Mayzel, Elad SchneidmanCurrent Opinion in Neurobiology|March 27, 2016
Towards the design principles of neural population codesElad SchneidmanProceedings 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 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 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 SegevProceedings of the National Academy of Sciences of the United States of America|May 24, 2011
Sparse low-order interaction network underlies a highly correlated and learnable neural population codeElad Ganmor, Ronen Segev, 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 SchneidmanPageof 5