Publications

Found 146 results
[ Author(Desc)] Title Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
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..
Shamir M, Sompolinsky H.  2004.  Nonlinear population codes. Neural Computation. 16:1105–1136.
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..
Shriki O, Hansel D, Sompolinsky H.  2003.  Rate models for conductance-based cortical neuronal networks. Neural Computation. 15:1809–1841.
Sommers HJ, Crisanti A, Sompolinsky H, Stein Y.  1988.  Spectrum of large random asymmetric matrices. Physical Review Letters. 60:1895–1898.
Sompolinsky H, , .  1991.  Phase Coherence and Computation in a Neural Network of Coupled Oscillators. Non-Linear Dynamics and Neural Networks, Schuster H.G and Singer W, Eds. (VCH, Weinheim, 1991), pp. 113-140..
Sompolinsky H, Kim J..  1998.  On-line Gibbs Learning. II. Application to Perceptron and multilayer networks.. Physical Review E, 58:2348-2362..
Sompolinsky H, Tishby N, S SH.  1990.  Learning from examples in large neural networks. Physical Review Letters. 65:1683–1686.
Sompolinsky H, Barkai N., Seung HS.  1995.  On-line Learning of Dichotomies: Algorithms and Learning Curves.. in Advances in Neural Information Processing Systems. Cowan J.D., Tesauro G. and Alspector J., editors, 7..
Sompolinsky H, Aharony A.  1981.  Universal Ratios Among Correction-to-Scaling Amplitudes in the Large-n Limit. Physical Review B 23, 3523..
Sompolinsky H, Kanter I.  1986.  Temporal association in asymmetric neural networks. Physical Review Letters. 57:2861–2864.
Sompolinsky H, Tishby N.  1990.  Learning in a Two-Layer Neural Network of Edge Detectors.. Europhysics Letters 13, 567..
Sompolinsky H, Zippelius A.  1982.  Relaxational Dynamics of the Edwards-Anderson Model and the Mean Field Theory of Spin Glasses. Physical Review B 25, 6860..
Sompolinsky H, Tsodyks M..  1994.  Segmentation by a Network of Oscillators with Stored Memories.. Neural Computation 6, 642-657..
Sompolinsky H, Crisanti Z, Sommers HJ.  1988.  Chaos in random neural networks. Physical Review Letters. 61:259–262.
Sompolinsky H, Havlin S.  1977.  Effect of Short-Range Interactions on the Transverse Dynamical Properties of KD2PO4. Physical Review B 16, 3223..
Sompolinsky H.  1987.  The Theory of Neural Networks: The Hebb Rule and Beyond. Proceedings of Heidelberg Colloquium on Glassy Dynamics, 1986 (Springer-Verlag, 1987)..
Sompolinsky H, Kim J..  1998.  On-line Gibbs learning. I. General Theory.. Physical Review E, 58: 2335-2347..
Sompolinsky H, Golomb D, Kleinfeld D.  1990.  Global processing of visual stimuli in a neural network of coupled oscillators. Proceedings of the National Academy of Sciences of the United States of America. 87:7200–7204.
Sompolinsky H.  1981.  Time-Dependent Order Parameters in Spin Glasses. Physical Review Letters 47, 935..
Sompolinsky H, Kotliar G, Zippelius A.  1984.  Exchange Stiffness and Macroscopic Anisotropy in Heisenberg Spin Glasses. Physical Review Letters 52, 392..
Sompolinsky H, Zippelius A.  1982.  Relaxational Dynamics of n-Vector Spin Glasses. Journal of Physics C 15, L 1059..
Sompolinsky H.  1988.  Statistical Mechanics of Neural Networks.. Physics Today 40, 70..
Sompolinsky H.  2014.  Computational neuroscience: beyond the local circuit. Current Opinion in Neurobiology 25:1-6.
Sompolinsky H, Golomb D, Golomb D.  1991.  Cooperative dynamics in visual processing. Physical Review. A. 43:6990–7011.

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