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Stern M, Sompolinsky H, Abbott L.  2014.  Dynamics of Random Neural Networks with Bistable Units. PDF icon Dynamics of Random Neural Networks with Bistable Units.pdf (2.4 MB)
Sompolinsky H, Kanter I.  1986.  Temporal association in asymmetric neural networks. Physical Review Letters. 57:2861–2864.
Sompolinsky H, Aharony A.  1981.  Universal Ratios Among Correction-to-Scaling Amplitudes in the Large-n Limit. Physical Review B 23, 3523.. PDF icon PhysRevB.23.3523.pdf (352.54 KB)
Sompolinsky H, Zippelius A.  1982.  Relaxational Dynamics of n-Vector Spin Glasses. Journal of Physics C 15, L 1059..
Sompolinsky H, Kim J..  1998.  On-line Gibbs learning. I. General Theory.. Physical Review E, 58: 2335-2347..
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.  1986.  Neural networks with nonlinear synapses and a static noise. Physical Review. A. 34:2571–2574.PDF icon PhysRevA.34.2571.pdf (389.43 KB)
Sompolinsky H.  1981.  Time-Dependent Order Parameters in Spin Glasses. Physical Review Letters 47, 935.. PDF icon PhysRevLett.47.935.pdf (250.04 KB)
Sompolinsky H, Tsodyks M..  1994.  Segmentation by a Network of Oscillators with Stored Memories.. Neural Computation 6, 642-657..
Sompolinsky H, Tishby N.  1990.  Learning in a Two-Layer Neural Network of Edge Detectors.. Europhysics Letters 13, 567.. PDF icon 0295-5075_13_6_016.pdf (453 KB)
Sompolinsky H, Zippelius A.  1983.  Fluctuations in Short-Range Spin Glasses.. Physical Review Letters 50, 1297..
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.  1981.  Staggered Magnetization Approach to Spin Glasses. Physical Review B 23, 1371.. PDF icon PhysRevB.23.1371.pdf (202.56 KB)
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, Tishby N, S SH.  1990.  Learning from examples in large neural networks. Physical Review Letters. 65:1683–1686.PDF icon PhysRevLett.65.1683.pdf (346.2 KB)
Sompolinsky H, Kotliar G, Zippelius A.  1984.  Exchange Stiffness and Macroscopic Anisotropy in Heisenberg Spin Glasses. Physical Review Letters 52, 392.. PDF icon PhysRevLett.52.392.pdf (294.89 KB)
Sompolinsky H.  2014.  Computational neuroscience: beyond the local circuit. Current Opinion in Neurobiology 25:1-6. PDF icon Current Opinion in Neurobiology 2014 Sompolinsky.pdf (261.19 KB)
Sompolinsky H, Crisanti Z, Sommers HJ.  1988.  Chaos in random neural networks. Physical Review Letters. 61:259–262.PDF icon PhysRevLett.61.259.pdf (205.48 KB)
Sompolinsky H, Zippelius A.  1981.  Dynamic Theory of the Spin Glass Phase. Physical Review Letters 47, 359..
Sompolinsky H, Shapley R.  1997.  New perspectives on the mechanisms for orientation selectivity. Current Opinion in Neurobiology. 7:514–522.PDF icon New perspectives on the mechanisms for orientation selectivity.pdf (1.16 MB)
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.  1985.  Spin Glass Transition in a Magnetic Field. Phil. Mag. B 51, 543..
Sompolinsky H, Havlin S.  1977.  Effect of Short-Range Interactions on the Transverse Dynamical Properties of KD2PO4. Physical Review B 16, 3223..
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)
Sompolinsky H.  1993.  Theoretical Issues in Learning from Examples. In Proceedings of the Third NEC Symposium on Computational Learning and Cognition..