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Proceedings of the National Academy of Sciences of the United States of America|June 24, 2024
Representations and generalization in artificial and brain neural networksQianyi Li, Ben Sorscher, Haim SompolinskyProceedings of the National Academy of Sciences of the United States of America|October 17, 2022
Neural representational geometry underlies few-shot concept learningBen Sorscher, Surya Ganguli, Haim SompolinskyProceedings of the National Academy of Sciences of the United States of America|February 6, 2026
Order parameters and phase transitions of continual learning in deep neural networksHaozhe Shan, Qianyi Li, Haim SompolinskyCurrent Opinion in Neurobiology|March 8, 2014
Computational neuroscience: beyond the local circuitHaim SompolinskyNeural Computation|June 15, 2006
Implications of neuronal diversity on population codingMaoz Shamir, Haim SompolinskyAnnual Review of Neuroscience|April 10, 2012
Compressed sensing, sparsity, and dimensionality in neuronal information processing and data analysisSurya Ganguli, Haim SompolinskyScientific Reports|December 17, 2022
Associative memory of structured knowledgeJulia Steinberg, Haim SompolinskyPhysical Review. E|January 21, 2023
Minimum perturbation theory of deep perceptual learningHaozhe Shan, Haim SompolinskyPageof 14