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.  2004.  Nonlinear population codes. Neural Computation. 16:1105–1136.
Shamir M, Sompolinsky H.  2006.  Implications of neuronal diversity on population coding. Neural Computation. 18:1951–1986.
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, Zippelius A.  1983.  Fluctuations in Short-Range Spin Glasses.. Physical Review Letters 50, 1297..
Sompolinsky H, Zippelius A.  1981.  Dynamic Theory of the Spin Glass Phase. Physical Review Letters 47, 359..
Sompolinsky H.  1986.  Neural networks with nonlinear synapses and a static noise. Physical Review. A. 34:2571–2574.
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, Tishby N, S SH.  1990.  Learning from examples in large neural networks. Physical Review Letters. 65:1683–1686.
Sompolinsky H, Kim J..  1998.  On-line Gibbs Learning. II. Application to Perceptron and multilayer networks.. Physical Review E, 58:2348-2362..
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, Crisanti Z, Sommers HJ.  1988.  Chaos in random neural networks. Physical Review Letters. 61:259–262.
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, 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, 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, Kim J..  1998.  On-line Gibbs learning. I. General Theory.. Physical Review E, 58: 2335-2347..
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.  1988.  Statistical Mechanics of Neural Networks.. Physics Today 40, 70..