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Proceedings of the National Academy of Sciences of the United States of America
|
April 19, 2005
Adaptation without parameter change: Dynamic gain control in motion detection
Alexander Borst, Virginia L Flanagin, Haim Sompolinsky
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 selectivity
Ran Rubin, L F Abbott, Haim Sompolinsky
Plos One
|
January 10, 2013
Computing complex visual features with retinal spike times
Robert 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 system
Yoram Burak, Uri Rokni, Markus Meister, et al.
Physical Review Letters
|
April 20, 2004
Short-term memory in orthogonal neural networks
Olivia L White, Daniel D Lee, Haim Sompolinsky
Neural Networks : the Official Journal of the International Neural Network Society
|
October 6, 2020
High-dimensional dynamics of generalization error in neural networks
Madhu S Advani, Andrew M Saxe, Haim Sompolinsky
Journal of Neurophysiology
|
June 6, 2008
A Hebbian learning rule mediates asymmetric plasticity in aligning sensory representations
Ilana B Witten, Eric I Knudsen, Haim Sompolinsky
Scientific Reports
|
July 30, 2022
Stochastic consolidation of lifelong memory
Nimrod 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 movements
Uri 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 plasticity
R Gütig, R Aharonov, S Rotter, et al.
Page
of 7
Search research articles
Search
Showing results (41-50 of 66) with videos related to
Sort By:
Page
of 7
Proceedings of the National Academy of Sciences of the United States of America
|
April 19, 2005
Adaptation without parameter change: Dynamic gain control in motion detection
Alexander Borst, Virginia L Flanagin, Haim Sompolinsky
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 selectivity
Ran Rubin, L F Abbott, Haim Sompolinsky
Plos One
|
January 10, 2013
Computing complex visual features with retinal spike times
Robert 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 system
Yoram Burak, Uri Rokni, Markus Meister, et al.
Physical Review Letters
|
April 20, 2004
Short-term memory in orthogonal neural networks
Olivia L White, Daniel D Lee, Haim Sompolinsky
Neural Networks : the Official Journal of the International Neural Network Society
|
October 6, 2020
High-dimensional dynamics of generalization error in neural networks
Madhu S Advani, Andrew M Saxe, Haim Sompolinsky
Journal of Neurophysiology
|
June 6, 2008
A Hebbian learning rule mediates asymmetric plasticity in aligning sensory representations
Ilana B Witten, Eric I Knudsen, Haim Sompolinsky
Scientific Reports
|
July 30, 2022
Stochastic consolidation of lifelong memory
Nimrod 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 movements
Uri 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 plasticity
R Gütig, R Aharonov, S Rotter, et al.
Page
of 7