Publications

Found 146 results
Author Title [ Year(Asc)]
2004
Kang K, Shapley RM, Sompolinsky H.  2004.  Information tuning of populations of neurons in primary visual cortex. The Journal of Neuroscience: The Official Journal of the Society for Neuroscience. 24:3726–3735.PDF icon kang-somp-04.pdf (772.7 KB)
Shamir M, Sompolinsky H.  2004.  Nonlinear population codes. Neural Computation. 16:1105–1136.PDF icon shamir-somp-04.pdf (1 MB)
Goldberg JA, Rokni U, Sompolinsky H.  2004.  Patterns of ongoing activity and the functional architecture of the primary visual cortex. Neuron. 42:489–500.PDF icon goldberg-somp-04.pdf (331.46 KB)
White OL, Lee DD, Sompolinsky H.  2004.  Short-term memory in orthogonal neural networks. Physical Review Letters. 92:148102.PDF icon white-somp-04.pdf (139.44 KB)
2003
Rokni U, Steinberg O, Vaadia E, Sompolinsky H.  2003.  Cortical representation of bimanual movements. The Journal of Neuroscience: The Official Journal of the Society for Neuroscience. 23:11577–11586.PDF icon rokni-somp-03.pdf (385.03 KB)
Gütig R, Aharonov R, Rotter S., Sompolinsky H.  2003.  Learning input correlations through nonlinear temporally asymmetric Hebbian plasticity. The Journal of Neuroscience: The Official Journal of the Society for Neuroscience. 23:3697–3714.PDF icon gutig-somp-03.pdf (542.64 KB)
Kang K, Shelley M, Sompolinsky H.  2003.  Mexican hats and pinwheels in visual cortex. Proceedings of the National Academy of Sciences of the United States of America. 100:2848–2853.PDF icon kang-somp-03.pdf (222.72 KB)
Shriki O, Hansel D, Sompolinsky H.  2003.  Rate models for conductance-based cortical neuronal networks. Neural Computation. 15:1809–1841.PDF icon shriki-somp-03.pdf (847.16 KB)
Loewenstein Y, Sompolinsky H.  2003.  Temporal integration by calcium dynamics in a model neuron. Nature Neuroscience. 6:961–967.PDF icon loewenstein-somp-2003.pdf (486.5 KB)PDF icon loewenstein-somp-2003-supp.pdf (103.09 KB)
Litvak V, Sompolinsky H, Segev I, Abeles M.  2003.  On the transmission of rate code in long feedforward networks with excitatory-inhibitory balance. The Journal of Neuroscience: The Official Journal of the Society for Neuroscience. 23:3006–3015.PDF icon litvak-abeles-03.pdf (609.91 KB)
2002
Loewenstein Y, Sompolinsky H.  2002.  Oscillations by symmetry breaking in homogeneous networks with electrical coupling. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 65:051926.PDF icon loewnstien-somp-02.pdf (157.37 KB)
2001
Shamir M, Sompolinsky H.  2001.  Correlation codes in neuronal networks.. in Advances in Neural Information Processing Systems 14. Dietterich T., Becker S., and Ghahramani Z., Editors. MIT Press, Cambridge MA.. PDF icon shamir-som.pdf (95.31 KB)
Rubin J, Lee DD, Sompolinsky H.  2001.  Equilibrium properties of temporally asymmetric Hebbian plasticity. Physical Review Letters. 86:364–367.PDF icon asymhrbb_prl.pdf (62.16 KB)
Ahronov-Barki R, Gütig R, Rotter S, Aertsen A, Sompolinsky H.  2001.  The Generalized Synaptic Updating in Temporally Asymmetric Hebbian Learning. PDF icon asymhebb_cns.pdf (200.11 KB)
Loewenstein Y, Yarom Y, Sompolinsky H.  2001.  The generation of oscillations in networks of electrically coupled cells. Proceedings of the National Academy of Sciences of the United States of America. 98:8095–8100.PDF icon loewenstien-somp-01.pdf (139.78 KB)
Shriki O., Sompolinsky H, Lee D..  2001.  An Information Maximization approach to overcomplete and recurrent representations.. in Advances in Neural Information Processing Systems 13. Leen T.K., Dietterich T.G., and Tresp V., Editors. MIT Press, Cambridge MA.. PDF icon shriki-lee-01.pdf (176.67 KB)
Kang K, Sompolinsky H.  2001.  Mutual information of population codes and distance measures in probability space. Physical Review Letters. 86:4958–4961.PDF icon kang-somp-01.pdf (86.83 KB)
Sompolinsky H, Yoon H, Kang K, Shamir M.  2001.  Population coding in neuronal systems with correlated noise. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 64:051904.PDF icon popcor_pre.pdf (318.68 KB)
2000
Lee D., Rokni U., Sompolinsky H.  2000.  Algorithms for independent components analysis and higher order statistics.. in Advances in Neural Information Processing Systems 12. Kearns M.J., Solla S.A., and Cohn D.A., Editors. MIT Press, Cambridge MA.. PDF icon lee-somp-99.pdf (74.72 KB)
Heimal A, Sompolinsky H.  2000.  Stable Orientation Tuning in the Visual Cortex.. Preprint submitted to Elsevier Preprint. PDF icon heimel-somp-00.pdf (151.49 KB)
Maoz S, Sompolinsky H.  2000.  Thouless-anderson-palmer equations for neural networks. Physical Review. E, Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics. 61:1839–1844.PDF icon tap_pre.pdf (83.53 KB)
1999
Yoon H, Sompolinsky H.  1999.  The effect of correlations on the Fisher Information of population codes.. in Advances in Neural Information Processing Systems 11. Kearns M.J., Solla S.A., and Cohn D.A., editors. MIT Press, Cambridge MA.. PDF icon 1510-the-effect-of-correlations-on-the-fisher-information-of-population-codes.pdf (1.32 MB)
Lee DD, Sompolinsky H.  1999.  Learning a continuous hidden variable model for binary data.. in Advances in Neural Information Processing Systems 11. Kearns M.J., Solla S.A., and Cohn D.A., Editors. MIT Press, Cambridge MA.. PDF icon Learning a continuous hidden variable model for binary data.pdf (142.29 KB)
Dietrich R., Opper M., Sompolinsky H.  1999.  Statistical mechanics of Support Vector networks.. Physical Review Letters 82, 2975.. PDF icon Statistical mechanics of Support Vector networks.pdf (186.78 KB)

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