Found 124 results
Author Title [ Year(Asc)]
Filters: Author is Haim Sompolinsky  [Clear All Filters]
Rokni U, Sompolinsky H.  2011.  How the Brain Generates Movement. Neural computation. 24(2):289-331PDF icon neco_a_00223.pdf (557.82 KB)
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. PDF icon pnas-2010-burak-1006076107.pdf (512.4 KB)PDF icon pnas-2010-burak-1006076107-supp.pdf (251.44 KB)
Ganguli S, Sompolinsky H.  2010.  Statistical mechanics of compressed sensing. Physical Review Letters. 104:188701.PDF icon physrevlett.104.188701-supp.pdf (357.97 KB)PDF icon physrevlett.104.188701.pdf (288.8 KB)
Rajan K, Abbott LF, Sompolinsky H.  2010.  Stimulus-dependent suppression of chaos in recurrent neural networks. Physical Review. E,. 82:011903.PDF icon physreve.82.011903.pdf (142.8 KB)
Rubin R, Monasson R, Sompolinsky H.  2010.  Theory of spike timing-based neural classifiers. Physical Review Letters. 105:218102.PDF icon physrevlett.105.218102.pdf (262.97 KB)
Shamir M, Sompolinsky H.  2006.  Implications of neuronal diversity on population coding. Neural Computation. 18:1951–1986.PDF icon maoz_sompo-06.pdf (272.34 KB)
Gütig R, Sompolinsky H.  2006.  The tempotron: a neuron that learns spike timing-based decisions. Nature Neuroscience. 9:420–428.PDF icon robert-sompo-06.pdf (536.99 KB)