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Results: 1-22 |
Results: 22
ONLINE GIBBS LEARNING - I - GENERAL-THEORY
Authors: SOMPOLINSKY H KIM JW
Citation: H. Sompolinsky et Jw. Kim, ONLINE GIBBS LEARNING - I - GENERAL-THEORY, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics, 58(2), 1998, pp. 2335-2347
ONLINE GIBBS LEARNING - II - APPLICATION TO PERCEPTRON AND MULTILAYERNETWORKS
Authors: KIM JW SOMPOLINSKY H
Citation: Jw. Kim et H. Sompolinsky, ONLINE GIBBS LEARNING - II - APPLICATION TO PERCEPTRON AND MULTILAYERNETWORKS, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics, 58(2), 1998, pp. 2348-2362
CHAOTIC BALANCED STATE IN A MODEL OF CORTICAL CIRCUITS
Authors: VANVREESWIJK C SOMPOLINSKY H
Citation: C. Vanvreeswijk et H. Sompolinsky, CHAOTIC BALANCED STATE IN A MODEL OF CORTICAL CIRCUITS, Neural computation, 10(6), 1998, pp. 1321-1371
NEW PERSPECTIVES ON THE MECHANISMS FOR ORIENTATION SELECTIVITY
Authors: SOMPOLINSKY H SHAPLEY R
Citation: H. Sompolinsky et R. Shapley, NEW PERSPECTIVES ON THE MECHANISMS FOR ORIENTATION SELECTIVITY, Current opinion in neurobiology, 7(4), 1997, pp. 514-522
TRAVELING WAVES AND THE PROCESSING OF WEAKLY TUNED INPUTS IN A CORTICAL NETWORK MODULE
Authors: BENYISHAI R HANSEL D SOMPOLINSKY H
Citation: R. Benyishai et al., TRAVELING WAVES AND THE PROCESSING OF WEAKLY TUNED INPUTS IN A CORTICAL NETWORK MODULE, Journal of computational neuroscience, 4(1), 1997, pp. 57-77
ONLINE GIBBS LEARNING - REPLY
Authors: KIM JW SOMPOLINSKY H
Citation: Jw. Kim et H. Sompolinsky, ONLINE GIBBS LEARNING - REPLY, Physical review letters, 78(22), 1997, pp. 4306-4306
CHAOS AND SYNCHRONY IN A MODEL OF A HYPERCOLUMN IN VISUAL-CORTEX
Authors: HANSEL D SOMPOLINSKY H
Citation: D. Hansel et H. Sompolinsky, CHAOS AND SYNCHRONY IN A MODEL OF A HYPERCOLUMN IN VISUAL-CORTEX, Journal of computational neuroscience, 3(1), 1996, pp. 7-34
NEURAL-NETWORK MODELS OF PERCEPTUAL-LEARNING OF ANGLE DISCRIMINATION
Authors: MATO G SOMPOLINSKY H
Citation: G. Mato et H. Sompolinsky, NEURAL-NETWORK MODELS OF PERCEPTUAL-LEARNING OF ANGLE DISCRIMINATION, Neural computation, 8(2), 1996, pp. 270-299
CHAOS IN NEURONAL NETWORKS WITH BALANCED EXCITATORY AND INHIBITORY ACTIVITY
Authors: VANVREESWIJK C SOMPOLINSKY H
Citation: C. Vanvreeswijk et H. Sompolinsky, CHAOS IN NEURONAL NETWORKS WITH BALANCED EXCITATORY AND INHIBITORY ACTIVITY, Science, 274(5293), 1996, pp. 1724-1726
ONLINE GIBBS LEARNING
Authors: KIM JW SOMPOLINSKY H
Citation: Jw. Kim et H. Sompolinsky, ONLINE GIBBS LEARNING, Physical review letters, 76(16), 1996, pp. 3021-3024
LOCAL AND GLOBAL CONVERGENCE OF ONLINE LEARNING
Authors: BARKAI N SEUNG HS SOMPOLINSKY H
Citation: N. Barkai et al., LOCAL AND GLOBAL CONVERGENCE OF ONLINE LEARNING, Physical review letters, 75(7), 1995, pp. 1415-1418
THEORY OF ORIENTATION TUNING IN VISUAL-CORTEX
Authors: BENYISHAI R BAROR RL SOMPOLINSKY H
Citation: R. Benyishai et al., THEORY OF ORIENTATION TUNING IN VISUAL-CORTEX, Proceedings of the National Academy of Sciences of the United Statesof America, 92(9), 1995, pp. 3844-3848
THEORY OF CORRELATIONS IN STOCHASTIC NEURAL NETWORKS
Authors: GINZBURG I SOMPOLINSKY H
Citation: I. Ginzburg et H. Sompolinsky, THEORY OF CORRELATIONS IN STOCHASTIC NEURAL NETWORKS, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics, 50(4), 1994, pp. 3171-3191
THEORY OF CORRELATIONS IN STOCHASTIC NEURAL NETWORKS
Authors: GINZBURG I SOMPOLINSKY H
Citation: I. Ginzburg et H. Sompolinsky, THEORY OF CORRELATIONS IN STOCHASTIC NEURAL NETWORKS, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics, 50(4), 1994, pp. 3171-3191
STATISTICAL-MECHANICS OF THE MAXIMUM-LIKELIHOOD DENSITY-ESTIMATION
Authors: BARKAI N SOMPOLINSKY H
Citation: N. Barkai et H. Sompolinsky, STATISTICAL-MECHANICS OF THE MAXIMUM-LIKELIHOOD DENSITY-ESTIMATION, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics, 50(3), 1994, pp. 1766-1769
SEGMENTATION BY A NETWORK OF OSCILLATORS WITH STORED MEMORIES
Authors: SOMPOLINSKY H TSODYKS M
Citation: H. Sompolinsky et M. Tsodyks, SEGMENTATION BY A NETWORK OF OSCILLATORS WITH STORED MEMORIES, Neural computation, 6(4), 1994, pp. 642-657
STIMULUS-DEPENDENT SYNCHRONIZATION OF NEURONAL ASSEMBLIES
Authors: GRANNAN ER KLEINFELD D SOMPOLINSKY H
Citation: Er. Grannan et al., STIMULUS-DEPENDENT SYNCHRONIZATION OF NEURONAL ASSEMBLIES, Neural computation, 5(4), 1993, pp. 550-569
PATTERN OF SYNCHRONY IN INHOMOGENEOUS NETWORKS OF OSCILLATORS WITH PULSE INTERACTIONS
Authors: TSODYKS M MITKOV I SOMPOLINSKY H
Citation: M. Tsodyks et al., PATTERN OF SYNCHRONY IN INHOMOGENEOUS NETWORKS OF OSCILLATORS WITH PULSE INTERACTIONS, Physical review letters, 71(8), 1993, pp. 1280-1283
SOLVABLE MODEL OF SPATIOTEMPORAL CHAOS
Authors: HANSEL D SOMPOLINSKY H
Citation: D. Hansel et H. Sompolinsky, SOLVABLE MODEL OF SPATIOTEMPORAL CHAOS, Physical review letters, 71(17), 1993, pp. 2710-2713
SPATIAL COHERENCE AND TEMPORAL CHAOS IN MACROSCOPIC SYSTEMS WITH ASYMMETRICAL COUPLINGS (VOL 68, PG 3495, 1992)
Authors: ARANSON I GOLOMB D SOMPOLINSKY H
Citation: I. Aranson et al., SPATIAL COHERENCE AND TEMPORAL CHAOS IN MACROSCOPIC SYSTEMS WITH ASYMMETRICAL COUPLINGS (VOL 68, PG 3495, 1992), Physical review letters, 70(21), 1993, pp. 3359-3359
SCALING LAWS IN LEARNING OF CLASSIFICATION TASKS
Authors: BARKAI N SEUNG HS SOMPOLINSKY H
Citation: N. Barkai et al., SCALING LAWS IN LEARNING OF CLASSIFICATION TASKS, Physical review letters, 70(20), 1993, pp. 3167-3170
SIMPLE-MODELS FOR READING NEURONAL POPULATION CODES
Authors: SEUNG HS SOMPOLINSKY H
Citation: Hs. Seung et H. Sompolinsky, SIMPLE-MODELS FOR READING NEURONAL POPULATION CODES, Proceedings of the National Academy of Sciences of the United Statesof America, 90(22), 1993, pp. 10749-10753
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