Found 146 results
Author [ Title(Desc)] 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 
Pehlevan C, Sompolinsky H.  2014.  Selectivity and Sparseness in Randomly Connected Balanced Networks. PLOS ONE. 9(2)
Ganguli S, Sompolinsky H.  2010.  Short-term memory in neuronal networks through dynamical compressed sensing. Neural Information Processing Systems.
White OL, Lee DD, Sompolinsky H.  2004.  Short-term memory in orthogonal neural networks. Physical Review Letters. 92:148102.
Seung HS, Sompolinsky H.  1993.  Simple models for reading neuronal population codes. Proceedings of the National Academy of Sciences of the United States of America. 90:10749–10753.
Kleinfeld D, Chiel HJ, Sompolinsky H.  1991.  Small Nervous Systems and Neural Network Models. Non-Linear Dynamics and Neural Networks, Schuster H.G and Singer W, Eds. (VCH, Weinheim, 1991), pp. 77-109..
Hansel D, Sompolinsky H.  1993.  Solvable model of spatiotemporal chaos. Physical Review Letters. 71:2710–2713.
Babadi B, Sompolinsky H.  2014.  Sparseness and Expansion in Sensory Representations.
Aranson I, Golomb D, Sompolinsky H.  1992.  Spatial coherence and temporal chaos in macroscopic systems with asymmetrical couplings. Physical Review Letters. 68:3495–3498.
Sommers HJ, Crisanti A, Sompolinsky H, Stein Y.  1988.  Spectrum of large random asymmetric matrices. Physical Review Letters. 60:1895–1898.
Sompolinsky H.  1985.  Spin Glass Transition in a Magnetic Field. Phil. Mag. B 51, 543..
Henley C, Sompolinsky H, Halperin BI.  1982.  Spin Resonance Frequencies in Spin Glasses with Random Anisotropies. Physical Review B 25, 5849..
Amit D, Gutfreund H, Sompolinsky H.  1985.  Spin-glass models of neural networks. Physical Review. A. 32:1007–1018.
Heimal A, Sompolinsky H.  2000.  Stable Orientation Tuning in the Visual Cortex.. Preprint submitted to Elsevier Preprint.
Sompolinsky H.  1981.  Staggered Magnetization Approach to Spin Glasses. Physical Review B 23, 1371..
Ganguli S, Sompolinsky H.  2010.  Statistical mechanics of compressed sensing. Physical Review Letters. 104:188701.
Seung HS, Sompolinsky H, Tishby N.  1992.  Statistical mechanics of learning from examples. Physical Review. A. 45:6056–6091.
Sompolinsky H.  1988.  Statistical Mechanics of Neural Networks.. Physics Today 40, 70..
Amit D, Gutfreund H, Sompolinsky H.  1987.  Statistical Mechanics of Neural Networks Near Saturation. Annals of Physics NY 173, 30..
Dietrich R., Opper M., Sompolinsky H.  1999.  Statistical mechanics of Support Vector networks.. Physical Review Letters 82, 2975..
Barkai N, Sompolinsky H.  1994.  Statistical mechanics of the maximum-likelihood density estimation. Physical Review. E, Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics. 50:1766–1769.
Grannan E.R., Sompolinsky H, Kleinfeld D.  1993.  Stimulus Dependent Synchronization of Neuronal Assemblies.. Neural Computation 5, 550..
Burak Y, Lewallen S, Sompolinsky H.  2009.  Stimulus-dependent correlations in threshold-crossing spiking neurons. Neural Computation. 21:2269–2308.
Rajan K, Abbott LF, Sompolinsky H.  2010.  Stimulus-dependent suppression of chaos in recurrent neural networks. Physical Review. E,. 82:011903.
Amit D, Gutfreund H, Sompolinsky H.  1985.  Storing infinite numbers of patterns in a spin-glass model of neural networks. Physical Review Letters. 55:1530–1533.
Hansel D, Sompolinsky H.  1992.  Synchronization and computation in a chaotic neural network. Physical Review Letters. 68:718–721.