Publications

Found 146 results
Author Title [ Year(Asc)]
Rokni U, Sompolinsky H.  2011.  How the Brain Generates Movement. Neural computation. 24(2):289-331
Burak Y, Rokni U, Meister M, Sompolinsky H.  2010.  Bayesian model of dynamic image stabilization in the visual system. Proceedings of the National Academy of Sciences (USA), doi/10.1073/pnas.1006076107.
Rajan K, Abbott LF, Sompolinsky H.  2010.  Inferring Stimulus Selectivity from the Spatial Structure of Neural Network Dynamics. Neural Information Processing Systems.
Ganguli S, Sompolinsky H.  2010.  Short-term memory in neuronal networks through dynamical compressed sensing. Neural Information Processing Systems.
Ganguli S, Sompolinsky H.  2010.  Statistical mechanics of compressed sensing. Physical Review Letters. 104:188701.
Rajan K, Abbott LF, Sompolinsky H.  2010.  Stimulus-dependent suppression of chaos in recurrent neural networks. Physical Review. E,. 82:011903.
Rubin R, Monasson R, Sompolinsky H.  2010.  Theory of spike timing-based neural classifiers. Physical Review Letters. 105:218102.
Witten IB, Knudsen EI, Sompolinsky H.  2008.  A Hebbian learning rule mediates asymmetric plasticity in aligning sensory representations. J. Neurophysiol. 100:1067–1079.
Ganguli S, Huh D, Sompolinsky H.  2008.  Memory traces in dynamical systems. Proceedings of the National Academy of Sciences(USA). 105:18970–18975.
Borst A, Flanagin VL, Sompolinsky H.  2005.  Adaptation without parameter change: Dynamic gain control in motion detection. Proceedings of the National Academy of Sciences of the United States of America. 102:6172–6176.

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