Publications

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 
Ganguli S, Huh D, Sompolinsky H.  2008.  Memory traces in dynamical systems. Proceedings of the National Academy of Sciences(USA). 105:18970–18975.
Ganguli S, Sompolinsky H.  2012.  Compressed sensing, sparsity, and dimensionality in neuronal information processing and data analysis. Annual Review of Neuroscience. 35:485–508
Ganguli S, Sompolinsky H.  2010.  Statistical mechanics of compressed sensing. Physical Review Letters. 104:188701.
Ginzburg I., Sompolinsky H.  1994.  Correlation Functions in a Large Stochastic Neural Network.. in Advances in Neural Information Processing Systems. Cowan J.D., Tesauro G. and Alspector J., editors, 6, 471-476..
Ginzburg II, Sompolinsky H.  1994.  Theory of correlations in stochastic neural networks. Physical Review. E, Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics. 50:3171–3191.
Gjorgjieva J, Sompolinsky H, Meister M.  2014.  Benefits of pathway splitting in sensory coding.
Goldberg JA, Rokni U, Sompolinsky H.  2004.  Patterns of ongoing activity and the functional architecture of the primary visual cortex. Neuron. 42:489–500.
Golomb D, Hansel D, Shraiman B, Sompolinsky H.  1992.  Clustering in globally coupled phase oscillators. Physical Review. A. 45:3516–3530.
Golomb D, Rubin N, Sompolinsky H.  1990.  Willshaw model: Associative memory with sparse coding and low firing rates. Physical Review. A. 41:1843–1854.
Grannan E.R., Sompolinsky H, Kleinfeld D.  1993.  Stimulus Dependent Synchronization of Neuronal Assemblies.. Neural Computation 5, 550..
Gross DJ, Kanter I, Sompolinsky H.  1985.  Mean-field theory of the Potts glass. Physical Review Letters. 55:304–307.
Gütig R, Sompolinsky H.  2006.  The tempotron: a neuron that learns spike timing-based decisions. Nature Neuroscience. 9:420–428.
Gütig R, Aharonov R, Rotter S., Sompolinsky H.  2003.  Learning input correlations through nonlinear temporally asymmetric Hebbian plasticity. The Journal of Neuroscience: The Official Journal of the Society for Neuroscience. 23:3697–3714.
Gütig R, Sompolinsky H.  2009.  Time-warp-invariant neuronal processing. PLoS Biology. 7:e1000141.
Hansel D, Sompolinsky H.  1996.  Chaos and synchrony in a model of a hypercolumn in visual cortex. Journal of Computational Neuroscience. 3:7–34.
Hansel D, Sompolinsky H.  1990.  Learning from Examples in a Single-Layer Neural Network.. Europhysics Letters 11, 687..
Hansel D, Sompolinsky H.  1998.  Modeling Feature Selectivity in Local Cortical Circuits. In Methods in Neuronal Modeling: From Synapse to Networks.. MIT Press, Cambridge, MA, Chapter 13, second edition..
Hansel D, Sompolinsky H.  1993.  Solvable model of spatiotemporal chaos. Physical Review Letters. 71:2710–2713.
Hansel D, Sompolinsky H.  1992.  Synchronization and computation in a chaotic neural network. Physical Review Letters. 68:718–721.
Havlin S, Litov E, Sompolinsky H.  1976.  Unified Model for the Transverse Electric Susceptibility in KH2PO4 and NH4H2PO4 Type Crystals. Physical Review B 14, 1297..
Havlin S, Sompolinsky H.  1979.  Low-Frequency Dynamics of KH2PO4 Type Crystals. Journal of Physics C 12, 3135..
Havlin S, Litov E, Sompolinsky H.  1976.  Theoretical and Experimental Studies of the Transverse Dielectric Properties of KD2PO4. Physical Review B 13, 4999..
Havlin S, Sompolinsky H.  1980.  Wavevector Dependent Susceptibility of KD2PO4 in the Four Cluster Approximation. Ferroelectrics 39, 355..
Havlin S, Sompolinsky H.  1976.  Coupling Between Protonic E-Mode and Lattice Vibrations in KDP- Type Crystals. Ferroelectrics 14, 617..
Havlin S, Sompolinsky H.  1982.  Cluster Approximation for Q-dependent Correlations in Magnetic and Ferroelectric Systems. Physical Review B 25, 5825..

Pages