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 
Kang K, Sompolinsky H.  2001.  Mutual information of population codes and distance measures in probability space. Physical Review Letters. 86:4958–4961.
Kang K, Shapley RM, Sompolinsky H.  2004.  Information tuning of populations of neurons in primary visual cortex. The Journal of Neuroscience: The Official Journal of the Society for Neuroscience. 24:3726–3735.
Kang K, Shelley M, Sompolinsky H.  2003.  Mexican hats and pinwheels in visual cortex. Proceedings of the National Academy of Sciences of the United States of America. 100:2848–2853.
Kanter I, Sompolinsky H.  1987.  Mean-field theory of spin-glasses with finite coordination number. Physical Review Letters. 58:164–167.
Kanter I, Sompolinsky H.  1986.  Level repulsion and the dielectric relaxation in quadrupolar glasses. Physical Review. B, Condensed Matter. 33:2073–2076.
Kanter I, Sompolinsky H.  1987.  Graph Optimization Problems and the Potts Glass. Journal of Physics A 20, L673..
Kanter I, Sompolinsky H.  1987.  Associative recall of memory without errors. Physical Review. A. 35:380–392.
Kim JW, Sompolinsky H.  1996.  On-line Gibbs learning. Physical Review Letters. 76:3021–3024.
Kleinfeld D, Sompolinsky H.  1989.  Associative Network Models for Central Pattern Generators. Methods in Neuronal Modeling: From Synapse to Networks, Koch C and Segev I, Eds., Ch. 7 (MIT Press, Cambridge, MA 1989). pp. 195-246..
Kleinfeld D, Sompolinsky H.  1988.  Associative neural network model for the generation of temporal patterns. Theory and application to central pattern generators. Biophysical Journal. 54:1039–1051.
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..
Kotliar G, Sompolinsky H, Zippelius A.  1987.  Rotational symmetry breaking in Heisenberg spin glasses: A microscopic approach. Physical Review. B, Condensed Matter. 35:311–328.
Kotliar G, Sompolinsky H.  1984.  Phase Transition in a Szyaloshinksy-Moriya Spin Glass.. Physical Review Letters 53, 1751..
Landau I, Egger R, Dercksen V, Oberlaender M, Sompolinsky H.  2016.  The Impact of Structural Heterogeneity on Excitation-Inhibition Balance in Cortical Networks.
Lee D., Rokni U., Sompolinsky H.  2000.  Algorithms for independent components analysis and higher order statistics.. in Advances in Neural Information Processing Systems 12. Kearns M.J., Solla S.A., and Cohn D.A., Editors. MIT Press, Cambridge MA..
Lee DD, Sompolinsky H.  1999.  Learning a continuous hidden variable model for binary data.. in Advances in Neural Information Processing Systems 11. Kearns M.J., Solla S.A., and Cohn D.A., Editors. MIT Press, Cambridge MA..