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, Hansel D, Sompolinsky H.  2003.  Rate models for conductance-based cortical neuronal networks. Neural Computation. 15:1809–1841.
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..
Sommers HJ, Crisanti A, Sompolinsky H, Stein Y.  1988.  Spectrum of large random asymmetric matrices. Physical Review Letters. 60:1895–1898.
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..
Sompolinsky H, Zippelius A.  1982.  Relaxational Dynamics of n-Vector Spin Glasses. Journal of Physics C 15, L 1059..
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.
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.
Sompolinsky H.  1981.  Staggered Magnetization Approach to Spin Glasses. Physical Review B 23, 1371..
Sompolinsky H.  1985.  Spin Glass Transition in a Magnetic Field. Phil. Mag. B 51, 543..
Sompolinsky H, Shapley R.  1997.  New perspectives on the mechanisms for orientation selectivity. Current Opinion in Neurobiology. 7:514–522.
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..