Publications

Found 146 results
Author Title [ Year(Asc)]
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.
Shamir M, Sompolinsky H.  2004.  Nonlinear population codes. Neural Computation. 16:1105–1136.
Goldberg JA, Rokni U, Sompolinsky H.  2004.  Patterns of ongoing activity and the functional architecture of the primary visual cortex. Neuron. 42:489–500.
White OL, Lee DD, Sompolinsky H.  2004.  Short-term memory in orthogonal neural networks. Physical Review Letters. 92:148102.
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.
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.
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.
Shriki O, Hansel D, Sompolinsky H.  2003.  Rate models for conductance-based cortical neuronal networks. Neural Computation. 15:1809–1841.
Loewenstein Y, Sompolinsky H.  2003.  Temporal integration by calcium dynamics in a model neuron. Nature Neuroscience. 6:961–967.
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.
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.
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..
Rubin J, Lee DD, Sompolinsky H.  2001.  Equilibrium properties of temporally asymmetric Hebbian plasticity. Physical Review Letters. 86:364–367.
Ahronov-Barki R, Gütig R, Rotter S, Aertsen A, Sompolinsky H.  2001.  The Generalized Synaptic Updating in Temporally Asymmetric Hebbian Learning.
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.
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..
Kang K, Sompolinsky H.  2001.  Mutual information of population codes and distance measures in probability space. Physical Review Letters. 86:4958–4961.
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.
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..
Heimal A, Sompolinsky H.  2000.  Stable Orientation Tuning in the Visual Cortex.. Preprint submitted to Elsevier Preprint.
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.
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..
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..
Dietrich R., Opper M., Sompolinsky H.  1999.  Statistical mechanics of Support Vector networks.. Physical Review Letters 82, 2975..

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