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Proceedings of the National Academy of Sciences of the United States of America|October 19, 2017
Balanced excitation and inhibition are required for high-capacity, noise-robust neuronal selectivityRan Rubin, L F Abbott, Haim SompolinskyPlos One|January 10, 2013
Computing complex visual features with retinal spike timesRobert Gütig, Tim Gollisch, Haim Sompolinsky, et al.Proceedings of the National Academy of Sciences of the United States of America|October 13, 2010
Bayesian model of dynamic image stabilization in the visual systemYoram Burak, Uri Rokni, Markus Meister, et al.Physical Review Letters|April 20, 2004
Short-term memory in orthogonal neural networksOlivia L White, Daniel D Lee, Haim SompolinskyNeural Networks : the Official Journal of the International Neural Network Society|October 6, 2020
High-dimensional dynamics of generalization error in neural networksMadhu S Advani, Andrew M Saxe, Haim SompolinskyJournal of Neurophysiology|June 6, 2008
A Hebbian learning rule mediates asymmetric plasticity in aligning sensory representationsIlana B Witten, Eric I Knudsen, Haim SompolinskyScientific Reports|July 30, 2022
Stochastic consolidation of lifelong memoryNimrod Shaham, Jay Chandra, Gabriel Kreiman, et al.The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|December 20, 2003
Cortical representation of bimanual movementsUri Rokni, Orna Steinberg, Eilon Vaadia, et al.The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|May 9, 2003
Learning input correlations through nonlinear temporally asymmetric Hebbian plasticityR Gütig, R Aharonov, S Rotter, et al.The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|April 10, 2003
On the transmission of rate code in long feedforward networks with excitatory-inhibitory balanceVladimir Litvak, Haim Sompolinsky, Idan Segev, et al.Pageof 7