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, 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.
Ganguli S, Sompolinsky H.  2010.  Short-term memory in neuronal networks through dynamical compressed sensing. Neural Information Processing Systems.
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.
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..
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, Rubin N, Sompolinsky H.  1990.  Willshaw model: Associative memory with sparse coding and low firing rates. Physical Review. A. 41:1843–1854.
Golomb D, Hansel D, Shraiman B, Sompolinsky H.  1992.  Clustering in globally coupled phase oscillators. Physical Review. A. 45:3516–3530.
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.  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.
Hansel D, Sompolinsky H.  1990.  Learning from Examples in a Single-Layer Neural Network.. Europhysics Letters 11, 687..
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.  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..
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..
Havlin S, Cowley RA, Sompolinsky H.  1980.  The Wavevector Dependence of the Polarization Fluctuations in KD2PO4. Ferroelectrics 25, 355..
Havlin S, Litov E, Sompolinsky H.  1975.  The Transverse Dielectric Properties of KH2PO4. Physicsl Letters A 51, 33..