Haim Sompolinsky

Q: What Schools Are Affiliated With Haim Sompolinsky

Haim Sompolinsky is affiliated with the following schools: Bar-Ilan University, Hebrew University of Jerusalem, Harvard University

Haim Sompolinsky's AcademicInfluence.com Rankings

Haim Sompolinsky

Biology

#9304

World Rank

#12492

Historical Rank

Neuroscience

#1351

World Rank

#1397

Historical Rank

biology Degrees

Download Badge

Biology

Why Is Haim Sompolinsky Influential?

(Suggest an Edit or Addition)

(See a Problem?)

Haim Sompolinsky's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Query by committee (1992) (1762)
Chaos in Neuronal Networks with Balanced Excitatory and Inhibitory Activity (1996) (1588)
Theory of orientation tuning in visual cortex. (1995) (1065)
The tempotron: a neuron that learns spike timing–based decisions (2006) (708)
Chaotic Balanced State in a Model of Cortical Circuits (1998) (699)
Statistical mechanics of neural networks near saturation (1987) (673)
Simple models for reading neuronal population codes. (1993) (622)
Learning Input Correlations through Nonlinear Temporally Asymmetric Hebbian Plasticity (2003) (389)
Population coding in neuronal systems with correlated noise. (2001) (336)
Bistability of cerebellar Purkinje cells modulated by sensory stimulation (2005) (326)
Equilibrium properties of temporally asymmetric Hebbian plasticity. (2000) (316)
New perspectives on the mechanisms for orientation selectivity (1997) (314)
Relaxational dynamics of the Edwards-Anderson model and the mean-field theory of spin-glasses (1982) (298)
Bayesian Methods for Adaptive Models (2011) (293)
Memory traces in dynamical systems (2008) (286)
Time-Dependent Order Parameters in Spin-Glasses (1981) (245)
Compressed sensing, sparsity, and dimensionality in neuronal information processing and data analysis. (2012) (228)
Rate Models for Conductance-Based Cortical Neuronal Networks (2003) (219)
Stimulus-dependent suppression of chaos in recurrent neural networks. (2009) (216)
Implications of Neuronal Diversity on Population Coding (2006) (213)
Optimal Degrees of Synaptic Connectivity (2017) (211)
Sparseness and Expansion in Sensory Representations (2014) (188)
From Whole-Brain Data to Functional Circuit Models: The Zebrafish Optomotor Response (2016) (186)
Global processing of visual stimuli in a neural network of coupled oscillators. (1990) (184)
13 Modeling Feature Selectivity in Local Cortical Circuits (179)
Dynamic Theory of the Spin Glass Phase (1981) (173)
On the Transmission of Rate Code in Long Feedforward Networks with Excitatory–Inhibitory Balance (2003) (170)
Short-term memory in orthogonal neural networks. (2004) (164)
Temporal integration by calcium dynamics in a model neuron (2003) (157)
Localization in a disordered elastic medium near two dimensions (1983) (151)
Associative neural network model for the generation of temporal patterns. Theory and application to central pattern generators. (1988) (148)
Introducing the Human Brain Project (2011) (146)
Transition to chaos in random neuronal networks (2015) (142)
Nonlinear Population Codes (2004) (137)
Chaos and synchrony in a model of a hypercolumn in visual cortex (1996) (134)
Adaptation without parameter change: Dynamic gain control in motion detection (2005) (130)
STATISTICAL MECHANICS OF NEURAL NETWORKS (1988) (126)
Learning Precisely Timed Spikes (2014) (126)
Mexican hats and pinwheels in visual cortex (2003) (114)
Separability and geometry of object manifolds in deep neural networks (2019) (107)
Brain-wide Organization of Neuronal Activity and Convergent Sensorimotor Transformations in Larval Zebrafish (2018) (101)
Benefits of Pathway Splitting in Sensory Coding (2014) (97)
The Impact of Structural Heterogeneity on Excitation-Inhibition Balance in Cortical Networks (2016) (96)
Statistical mechanics of Support Vector networks. (1998) (93)
Patterns of Ongoing Activity and the Functional Architecture of the Primary Visual Cortex (2004) (89)
Classification and Geometry of General Perceptual Manifolds (2017) (87)
Traveling Waves and the Processing of Weakly Tuned Inputs in a Cortical Network Module (2004) (85)
Phase Transition in a Dzyaloshinsky-Moriya Spin-Glass (1984) (83)
Dynamics of random neural networks with bistable units. (2014) (79)
Interactions between Intrinsic and Stimulus-Evoked Activity in Recurrent Neural Networks (2009) (77)
Balanced excitation and inhibition are required for high-capacity, noise-robust neuronal selectivity (2017) (76)
Cortical Representation of Bimanual Movements (2003) (74)
The Theory of Neural Networks: The Hebb Rule and Beyond (1987) (73)
Stimulus-Dependent Synchronization of Neuronal Assemblies (1993) (72)
25th Annual Computational Neuroscience Meeting: CNS-2016 (2016) (71)
Time-Warp–Invariant Neuronal Processing (2009) (71)
Information Tuning of Populations of Neurons in Primary Visual Cortex (2004) (70)
Statistical mechanics of compressed sensing. (2010) (69)
Spin-resonance frequencies in spin-glasses with random anisotropies (1982) (65)
Bayesian model of dynamic image stabilization in the visual system (2010) (62)
Spin-glass models of neural networks (1987) (61)
The generation of oscillations in networks of electrically coupled cells (2001) (61)
Scaling behavior of diffusion on percolation clusters (1983) (54)
Mutual information of population codes and distance measures in probability space. (2001) (54)
Coherent chaos in a recurrent neural network with structured connectivity (2018) (50)
Short-term memory in neuronal networks through dynamical compressed sensing (2010) (49)
Learning from Examples in a Single-Layer Neural Network (1990) (48)
The Effect of Correlations on the Fisher Information of Population Codes (1998) (46)
A Neural Computation for Visual Acuity in the Presence of Eye Movements (2007) (45)
Path integral approach to random neural networks (2018) (43)
Selectivity and Sparseness in Randomly Connected Balanced Networks (2014) (41)
Segmentation by a Network of Oscillators with Stored Memories (1994) (39)
Fluctuations in Short-Range Spin-Glasses (1983) (38)
Computational neuroscience: beyond the local circuit (2014) (38)
Stimulus-Dependent Correlations in Threshold-Crossing Spiking Neurons (2009) (37)
Associative network models for central pattern generators (1989) (36)
Computing Complex Visual Features with Retinal Spike Times (2013) (36)
Course 9 - Irregular Activity in Large Networks of Neurons (2005) (35)
Locally ordered representation of 3D space in the entorhinal cortex (2021) (34)
Erratum: Population coding in neuronal systems with correlated noise [Phys. Rev. E 64, 051904 (2001)] (2002) (33)
How the Brain Generates Movement (2012) (33)
Graph optimisation problems and the Potts glass (1987) (32)
Theory of spike timing-based neural classifiers. (2010) (31)
Neural networks with low local firing rates (1989) (30)
An Information Maximization Approach to Overcomplete and Recurrent Representations (2000) (27)
Adaptation and information transmission in fly motion detection. (2007) (27)
Linear readout of object manifolds. (2015) (27)
Optimal Architectures in a Solvable Model of Deep Networks (2016) (26)
Theoretical and experimental studies of the transverse dielectric properties of K D 2 P O 4 (1976) (25)
Advances in large margin classifiers (2000) (23)
Statistical Mechanics of Deep Linear Neural Networks: The Backpropagating Kernel Renormalization (2020) (21)
Neural Correlates of Learning Pure Tones or Natural Sounds in the Auditory Cortex (2020) (21)
Irreversible response in spin-glasses: An experimental study in amorphous Fe-Mn (1982) (21)
On-line Learning of Dichotomies: Algorithms and Learning Curves. (1995) (21)
Object manifold geometry across the mouse cortical visual hierarchy (2020) (20)
Functional diversity among sensory neurons from efficient coding principles (2019) (20)
Inferring Stimulus Selectivity from the Spatial Structure of Neural Network Dynamics (2010) (19)
A Hebbian learning rule mediates asymmetric plasticity in aligning sensory representations. (2008) (18)
Staggered-magnetization approach to spin-glasses (1981) (18)
Exchange Stiffness and Macroscopic Anisotropy in Heisenberg Spin-Glasses (1984) (17)
Equivalence of statistical-mechanical and dynamic descriptions of the infinite-range Ising spin-glass (1983) (16)
On the 'naive' mean-field equations for spin glasses (1986) (15)
Learning a Continuous Hidden Variable Model for Binary Data (1998) (13)
Predicting the outputs of finite deep neural networks trained with noisy gradients. (2020) (13)
Unified model for the transverse electric susceptibility in KH2PO4-and NH4H2PO4-type crystals (1976) (12)
Predicting the outputs of finite networks trained with noisy gradients (2020) (12)
Learning in a Two-Layer Neural Network of Edge Detectors (1990) (12)
The transverse dielectric properties of KH2PO4 (1975) (12)
Learning curves in large neural networks (1991) (12)
Neural Network Models of Perceptual Learning of Angle Discrimination (1996) (12)
Macroscopic fluctuations emerge in balanced networks with incomplete recurrent alignment (2021) (12)
Learning Data Manifolds with a Cutting Plane Method (2017) (11)
The anomalous temperature dependence of the protonic E mode in kdp-type crystals (1975) (11)
Young adult-born neurons improve odor coding by mitral cells (2020) (11)
The Geometry of Concept Learning (2021) (11)
Relaxational dynamics of the infinite-ranged spin glass with n-component spins (1982) (10)
Effect of short-range interactions on the transverse dynamics of K D 2 P O 4 (1977) (10)
On-line Learning of Dichotomies (1994) (10)
Purkinje cells in awake behaving animals operate in stable upstate membrane potential (2006) (10)
The spectrum of covariance matrices of randomly connected recurrent neuronal networks with linear dynamics (2020) (10)
Cluster Approximation for Q-dependent Correlations in Magnetic and Ferroelectric Systems (1982) (9)
Evidence of Change of Intention in Picking Situations (2015) (9)
Correlation Codes in Neuronal Populations (2001) (9)
Irregular firing in cortical circuits with inhibition/excitation balance (1997) (8)
Oscillations by symmetry breaking in homogeneous networks with electrical coupling. (2002) (8)
Processing of Sensory Information by a Network of Oscillators with Memory (1992) (7)
Neural representational geometry underlies few-shot concept learning (2022) (7)
Course 8 – Theory of Large Recurrent Networks: From Spikes to Behavior (2005) (7)
Spin-glass transition in a magnetic field (1985) (7)
Associative memory of structured knowledge (2020) (7)
Early perceptual loss in depression (2007) (6)
Brainwide organization of neuronal activity and convergent sensorimotor transformations in larval zebrafish (2018) (6)
Low-frequency dynamics of KH2PO4-type crystals (1979) (6)
Statistical Mechanics of Deep Linear Neural Networks: The Back-Propagating Renormalization Group (2020) (6)
Optimal Sensory Coding By Populations Of ON And OFF Neurons (2017) (5)
Change of Intention in “Picking” Situations (2014) (5)
Stimulus-dependent suppression of intrinsic variability in recurrent neural networks (2010) (5)
Editorial overview: Theoretical and computational neuroscience (2014) (5)
New perspectives on the mechanisms for orientation (1997) (4)
On-line Gibbs Learning. II. Application to Perceptron and multilayer networks. (1998) (4)
Central E-mode and transverse dynamical properties of KDP-type crystals (1976) (3)
Markov Transitions between Attractor States in a Recurrent Neural Network (2017) (3)
A Minimum Perturbation Theory of Deep Perceptual Learning (2021) (3)
Anisotropic polarisation fluctuations in KD2PO4-type crystals (1982) (3)
Stochastic consolidation of lifelong memory (2021) (3)
Optimal Quadratic Binding for Relational Reasoning in Vector Symbolic Neural Architectures (2022) (3)
Correlation Functions in a Large Stochastic Neural Network (1993) (3)
Stable Orientation Tuning in the Visual Cortex. (2000) (3)
Theory of Learning From Examples (1993) (3)
On-line Gibbs learning. I. General Theory. (1998) (3)
Neural Coding and Decoding with Spike Times (2013) (2)
Coupling between protonic E-mode and lattice vibrations in KDP-type crystals (1976) (2)
The wavevector dependence of the polarization fluctuations in Kd2PO4 (1980) (2)
Neural mechanisms of speech processing : time warp invariance by adaptive integration time (2007) (2)
A new role for circuit expansion for learning in neural networks (2020) (2)
Reply to Wehrhahn: Experimental requirements for testing the role of peripheral cues in dynamic image stabilization (2011) (1)
Wave vector dependent susceptibility of KD2PO4 in the four cluster approximation (1981) (1)
Computation by calcium dynamics in single neurons a possible solution to the problem of neural integration (2002) (1)
A theory of weight distribution-constrained learning (2022) (1)
The European Future Technologies Conference and Exhibition 2011 Introducing the Human Brain Project (2011) (1)
Slow adaptation facilitates excitation-inhibition balance in the presence of structural heterogeneity (2016) (1)
Synchrony in Integrate-and-Fire Networks (1993) (1)
Effect of Aging on Change of Intention (2019) (1)
Tempotron Learning (2014) (1)
Universal ratios among corrections-to-scaling amplitudes in the large- n limit (1981) (1)
Input-dependent Suppression of Chaos in Recurrent Neural Networks (2010) (1)
Algorithms for Independent Components Analysis and Higher Order Statistics (1999) (1)
Correlation Functions in a Large Stochastic Network (1993) (1)
Abstracts of the 15th Annual Meeting of the Israel Society for Neuroscience Eilat, Israel, December 3–5, 2006 (2006) (1)
The relationship between microcircuit structure and dynamics in the rat barrel cortex (2014) (1)
Image segmentation by a network of oscillators with memory (1992) (0)
Neural correlates of learning pure tones versus natural sounds in the auditory cortex (2018) (0)
Abstracts of the 16th Annual Meeting of The Israel Society for Neuroscience Eilat, Israel, November 25–27, 2007 (2008) (0)
Soft-margin classification of object manifolds (2022) (0)
Behavioral / Systems / Cognitive Cortical Representation of Bimanual Movements (2003) (0)
in Alert Monkeys Response Magnitude and Receptive Field Geometry Eye Position Compensation Improves Estimates of (2007) (0)
Acknowledgments I Am Deeply Grateful to N. Parga for Discussions Con- Cerning This Work. I Also Thank N. Brunel, M. M Ezard and J. P. Nadal for Their Remarks and Suggestions (1994) (0)
Error monitoring when no errors are possible: Arbitrary free-choice decisions invoke error monitoring processes. (2023) (0)
Correlated activity in threshold-crossing spiking neurons (2008) (0)
Kim and Sompolinsky Reply (1997) (0)
Random input expansion improves classifier accuracy (2019) (0)
Storing Infinite Numbers of Patterns in a Spin-Glass Model of Neural Networks (1987) (0)
The generation of oscillation electrically coupled cells (2016) (0)
Temporal support vectors for spiking neuronal networks (2022) (0)
Majority Votingin the Presen e of Random (2007) (0)
25th Annual Computational Neuroscience Meeting: CNS-2016 (2016) (0)
Fe b 20 04 Short-Term Memory in Orthogonal Neural Networks (2008) (0)
Scaling of the irreversible magnetization curves of YBaCuO (1989) (0)
Poster: Low dimensional structures in local variability in a multi-scale neural circuit model (2016) (0)
Effect of Random Anisotropy on the Critical Properties of CuMn Spin Glasses. (1986) (0)
Title: Generalized Synaptic Updating in Temporally Asymmetric Hebbian Learning Authors: (2001) (0)
Statistical Mechanics of Support Vector (2008) (0)
Brain-wide Organization o f Neuronal Activity and Convergent Sensorimotor Transformations in Larval Zebrafish Highlights (2018) (0)
A theory of learning with constrained weight-distribution (2022) (0)
Separability and geometry of object manifolds in deep neural networks (2020) (0)
Safra Neuron Screen : Design and Fabrication (2016) (0)
Classification of Manifolds by Single-Layer Neural Networks (2015) (0)
The PhD Program in Brain Sciences (2016) (0)
Supporting Text : Bayesian dynamics of image stabilization in the brain (2010) (0)
The Olivo-Cerebellar System : Dynamical Processes and Computational Principles (2003) (0)
Tempotron Decoding of Spike Patterns from Retinal Ganglion Cell Populations (2007) (0)
Globally Gated Deep Linear Networks (2022) (0)
A study of short-range spin glasses (1983) (0)

This paper list is powered by the following services:

What Schools Are Affiliated With Haim Sompolinsky?

Haim Sompolinsky is affiliated with the following schools:

Haim Sompolinsky's Academic­Influence.com Rankings

Why Is Haim Sompolinsky Influential?

Haim Sompolinsky's Published Works

Published Works

What Schools Are Affiliated With Haim Sompolinsky?

Haim Sompolinsky's AcademicInfluence.com Rankings