Haim Sompolinsky Lab

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William N. Skirball Chair in Neurophysics, Emeritus

Sompolinsky’s research goal is to uncover the fundamental principles of the organization, the dynamics and the function of the brain, viewing the brain through multiscale lenses, spanning the molecular, the cellular, and the circuit levels. To achieve this goal, Sompolinsky has developed new theoretical approaches to computational neuroscience based on the principles and methods of statistical physics, and physics of dynamical and stochastic systems. This new field, Neurophysics, builds in part on Sompolinsky’s earlier work on critical phenomena, random systems, spin glasses, and chaos. His research areas cover theoretical and computational investigations of cortical dynamics, sensory processing, motor control, neuronal population coding, long and short-term memory, and neural learning. The highlights of his research include theories and models of local cortical circuits, visual cortex, associative memory, statistical mechanics of learning, chaos and excitation-inhibition balance in neuronal networks, principles of neural population codes, statistical mechanics of compressed sensing and sparse coding in neuronal systems, and the Tempotron model of spike time based neural learning. He also studies the neuronal mechanisms of volition and the impact of physics and neuroscience on the foundations of human freedom and agency.

Lectures

Yehonatan Avidan

PhD Student

Nadav Lederman

MSc Student

Yoni Ankri

MSc Student

Ariel Furstenberg

Nimrod Shaham

Uri Cohen

Gadi Mintz

Jiaqi Shang, Gabriel Kreiman, Haim Sompolinsky

Unraveling the geometry of visual relational reasoning

Scientific Reports (2026)

Lorenzo Tiberi, Haim Sompolinsky

Manifold geometry underlies a unified code for category and category-independent features

bioRxiv (Cold Spring Harbor Laboratory) (2026)

Haozhe Shan, Qianyi Li, Haim Sompolinsky

Order parameters and phase transitions of continual learning in deep neural networks

Proceedings of the National Academy of Sciences (2026)

Shani Narkiss H., Vingrad A., Landau I.D., Tasaka G., Yayun N., Terlestky S., Groysman M., Maor I., Sompolinsky H., and Mizrahi. A

Adult Born Neurons Improve Odor Coding by Mitral Cells

Nature Communications (2020)

Ginosar G, Aljadeff J, Burak Y, Sompolinsky H, Las L, Ulanovsky N.

Locally ordered representation of 3D space in the entorhinal cortex

Nature (2021)

Advani MS, Saxe AM, Sompolinsky H.

High-dimensional dynamics of generalization error in neural networks

Neural Netw (2020)

Maor, I., Ziv, R., Feigin, L., Elyada Y., Sompolinski H., Mizrahi A.

Neural correlates of learning pure tones versus natural sounds in the auditory cortex

Frontiers in Neural Circuits (2020)

Gadi Naveh, Oded Ben David, Haim Sompolinsky, and Zohar Ringel

Predicting the outputs of finite deep neural networks trained with noisy gradients

Phys. Rev. E 104, 064301 (2021)

Qianyi Li, Haim Sompolinsky

Statistical Mechanics of Deep Linear Neural Networks: The Backpropagating Kernel Renormalization

Phys. Rev. X, Volume 11, Issue 3, Pages 031059 (2021)

Cohen, U., Chung, S., Lee, D.D. et al.

Separability and geometry of object manifolds in deep neural networks

Nat Commun 11, 746 (2020)

Furstenberg A, Dewar CD, Sompolinsky H, Knight RT, Deouell LY

Effect of Aging on Change of Intention

Frontiers in Human Neuroscience 13:264 (2019)

Gjorgjieva J, Meister M, Sompolinsky H

Functional diversity among sensory neurons from efficient coding principles

PLOS Computational Biology (2019)

Chen X, Mu Y, Hu Y, Kuan AT, Nikitchenko M, Randlett O, Chen AB, Gavornik JP, Sompolinsky H, Engert F, Ahrens MB.

Brain-wide Organization of Neuronal Activity and Convergent Sensorimotor Transformations in Larval Zebrafish

Neuron: Volume 100, Issue 4, 21 November 2018, Pages 876-890.e5 (2018)

Itamar Daniel Landau, Haim Sompolinsky

Coherent chaos in a recurrent neural network with structured connectivity

PLOS Computational Biology (2018)

Chung S, Cohen U, Sompolinsky H, Lee DD.

Learning Data Manifolds with a Cutting Plane Method.

Neural Computation Volume 30 | Issue 10 | October 2018 p.2593-2615 (2018)

A Crisanti, H Sompolinsky

Path integral approach to random neural networks

Phys. Rev. E 98, 062120 – Published 13 December 2018 (2018)

Rubin R, Abbott LF, Sompolinsky H.

Balanced excitation and inhibition are required for high-capacity, noise-robust neuronal selectivity

PNAS October 31, 2017 114 (44) E9366-E9375; (2017)

Litwin-Kumar A, Harris KD, Axel R, Sompolinsky H, Abbott LF.

Optimal Degrees of Synaptic Connectivity

Neuron: Volume 93, Issue 5, 8 March 2017, Pages 1153-1164.e7 (2017)

Landau I, Egger R, Dercksen V, Oberlaender M, Sompolinsky H.

The Impact of Structural Heterogeneity on Excitation-Inhibition Balance in Cortical Networks

Neuron Volume 92, Issue 5, 7 December 2016, Pages 1106-1121 (2016)

Furstenberg A, Breska A, Sompolinsky H, Deouell LY.

Change of Intention in ‘Picking’ Situations

J Cogn Neurosci. 2015 Nov;27(11):2133-46. doi: 10.1162/jocn_a_00842. Epub 2015 Jun 23. (2015)

Furstenberg, A., Breska, A., Sompolinsky, H., & Deouell, L. Y.

Evidence of Change of Intention in Picking Situations

Journal of Cognitive Neuroscience. 27, 2133-46 (2015)

M. Stern, H. Sompolinsky, and L. F. Abbott

Dynamics of Random Neural Networks with Bistable Units

Phys. Rev. E 90, 062710 – Published 16 December 2014 (2014)

Julijana Gjorgjieva; Haim Sompolinsky; Markus Meister

Benefits of pathway splitting in sensory coding

Journal of Neuroscience 3 September 2014, 34 (36) 12127-12144; DOI: https://doi.org/10.1523/JNEUROSCI.1032-14.2014 (2014)

Haim Sompolinsky

Computational neuroscience: beyond the local circuit

Current Opinion in Neurobiology Volume 25, April 2014, Pages xiii-xviii (2014)

Raoul-Martin Memmesheimer; Ran Rubin; Bence P. Olveczky; Haim Sompolinsky

Learning Precisely Timed Spikes

Neuron, Volume 84, Issue 4 (2014) (2014)

Cengiz Pehlevan; Haim Sompolinsky

Selectivity and Sparseness in Randomly Connected Balanced Networks

PLOS ONE, Volume 9, Issue 2 (2014) (2014)

Baktash Babadi; Haim Sompolinsky

Sparseness and Expansion in Sensory Representations

Neuron: Volume 83, Issue 5, 3 September 2014, Pages 1213-1226 (2014)

Surya Ganguli; Haim Sompolinsky

Compressed sensing, sparsity, and dimensionality in neuronal information processing and data analysis

Annual Review of Neuroscience, Volume 35:485–508 (2012) (2012)

Uri Rokni; Haim Sompolinsky

How the Brain Generates Movement

Neural computation, Volume 24(2):289-331 (2011) (2011)

Yoram Burak, Uri Rokni, Markus Meister, and Haim Sompolinsky

Reply to Wehrhahn: Experimental requirements for testing the role of peripheral cues in dynamic image stabilization

PNAS 108 (10) E36 (2011)

Rajan, K; L F Abbott; H Sompolinsky

Inferring Stimulus Selectivity from the Spatial Structure of Neural Network Dynamics

Neural Information Processing Systems (2010) (2010)

Yoram Burak; Uri Rokni; Markus Meister; Haim Sompolinsky

Bayesian model of dynamic image stabilization in the visual system

Proceedings of the National Academy of Sciences (USA), doi/10.1073/pnas.1006076107 (2010) (2010)

Ganguli. S, H. Sompolinsky

Short-term memory in neuronal networks through dynamical compressed sensing

Neural Information Processing Systems (2010) (2010)

Surya Ganguli; Haim Sompolinsky

Statistical mechanics of compressed sensing

Physical Review Letters, Volume 104, p.188701 (2010)

Rajan K, Abbott LF, Sompolinsky H.

Stimulus-dependent suppression of chaos in recurrent neural networks

Phys Rev E Stat Nonlin Soft Matter Phys. 82(1 Pt 1):011903. (2010)

Rubin R, Monasson R, Sompolinsky H.

Theory of spike timing-based neural classifiers

Phys Rev Lett. 105(21):218102 (2010)

Yoram Burak, Sam Lewallen, Haim Sompolinsky

Stimulus-Dependent Correlations in Threshold-Crossing Spiking Neurons

Neural Computation Volume 21 | Issue 8 | p.2269-2308 (2009)

Gütig R, Sompolinsky H.

Time-warp-invariant neuronal processing

PLoS Biol. 7(7):e1000141 (2009)

Ilana B Witten; Eric I Knudsen; Haim Sompolinsky

A Hebbian learning rule mediates asymmetric plasticity in aligning sensory representations

J Neurophysiol. 100(2):1067-79. (2008)

Ganguli S, Huh D, Sompolinsky H.

Memory traces in dynamical systems

Proceedings of the National Academy of Sciences(USA), Volume 105, p.18970–18975 (2008)

Pitkow X, Sompolinsky H, Meister M.

A neural computation for visual acuity in the presence of eye movements

PLoS Biol. 5(12):e331. (2007)

Safran MN, Flanagin VL, Borst A, Sompolinsky H.

Adaptation and information transmission in fly motion detection

J Neurophysiol. 98(6):3309-20. (2007)

Shamir M, Sompolinsky H.

Implications of neuronal diversity on population coding

Neural Computation, Volume 18, p.1951–1986 (2006)

Yonatan Loewenstein, Séverine Mahon, Paul Chadderton, Kazuo Kitamura, Haim Sompolinsky, Yosef Yarom & Michael Häusser

Purkinje cells in awake behaving animals operate in stable upstate membrane potential

Nature Neurosciencevolume 9, page461 (2006)

Robert Gütig; Haim Sompolinsky

The tempotron: a neuron that learns spike timing-based decisions

Nature Neuroscience, Volume 9, p.420–428 (2006)

Alexander Borst; Virginia L Flanagin; Haim Sompolinsky

Adaptation without parameter change: Dynamic gain control in motion detection

Proc Natl Acad Sci U S A. ;102(17):6172-6. (2005)

Yonatan Loewenstein; Séverine Mahon; Paul Chadderton; Kazuo Kitamura; Haim Sompolinsky; Yosef Yarom; Michael Häusser

Bistability of cerebellar Purkinje cells modulated by sensory stimulation

Nature Neuroscience, Volume 8, p.202–211 (2005)

Kang K, Shapley RM, Sompolinsky H.

Information tuning of populations of neurons in primary visual cortex

J Neurosci. 24(15):3726-35 (2004)

Maoz Shamir; Haim Sompolinsky

Nonlinear population codes

Neural Computation, Volume 16, p.1105–1136 (2004)

Joshua A Goldberg; Uri Rokni; Haim Sompolinsky

Patterns of ongoing activity and the functional architecture of the primary visual cortex

Neuron, Volume 42, p.489–500 (2004) (2004)

Olivia L White; Daniel D Lee; Haim Sompolinsky

Short-term memory in orthogonal neural networks

Physical Review Letters, Volume 92, p.148102 (2004) (2004)

Uri Rokni; Orna Steinberg; Eilon Vaadia; Haim Sompolinsky

Cortical representation of bimanual movements

J Neurosci. 2003 Dec 17;23(37):11577-86. (2003)

Robert Gütig; R Aharonov; Rotter, S.; Haim Sompolinsky

Learning input correlations through nonlinear temporally asymmetric Hebbian plasticity

J Neurosci. 2003 May 1;23(9):3697-714. (2003)

Kukjin Kang; Michael Shelley; Haim Sompolinsky

Mexican hats and pinwheels in visual cortex

Proc Natl Acad Sci U S A. 2003 Mar 4;100(5):2848-53. (2003)

Vladimir Litvak; Haim Sompolinsky; Idan Segev; Moshe Abeles

On the transmission of rate code in long feedforward networks with excitatory-inhibitory balance

J Neurosci. 2003 Apr 1;23(7):3006-15. (2003)

Oren Shriki; David Hansel; Haim Sompolinsky

Rate models for conductance-based cortical neuronal networks

Neural Comput. 2003 Aug;15(8):1809-41. (2003)

Yonatan Loewenstein; Haim Sompolinsky

Temporal integration by calcium dynamics in a model neuron

Nat Neurosci. 2003 Sep;6(9):961-7. (2003)

Yonatan Loewenstein; Haim Sompolinsky

Oscillations by symmetry breaking in homogeneous networks with electrical coupling

Phys Rev E Stat Nonlin Soft Matter Phys. 2002 May;65(5 Pt 1):051926 (2002)

Shriki O., Sompolinsky H., Lee D.

An Information Maximization approach to overcomplete and recurrent representations

Part of: Advances in Neural Information Processing Systems 13 (NIPS 2000) (2001)

Maoz Shamir and Haim Sompolinsky

Correlation codes in neuronal networks

In Advances in Neural Information Processing Systems 14. Dietterich T., Becker S., and Ghahramani Z., Editors. MIT Press, Cambridge MA (2001)

Rubin J, Lee DD, Sompolinsky H.

Equilibrium properties of temporally asymmetric Hebbian plasticity

Phys Rev Lett. 2001 Jan 8;86(2):364-7 (2001)

Kang K, Sompolinsky H.

Mutual information of population codes and distance measures in probability space

Phys Rev Lett. 2001 May 21;86(21):4958-61 (2001)

Sompolinsky H, Yoon H, Kang K, Shamir M.

Population coding in neuronal systems with correlated noise

Phys Rev E Stat Nonlin Soft Matter Phys. 2001 Nov;64(5 Pt 1):051904 (2001)

Loewenstein Y, Yarom Y, Sompolinsky H.

The generation of oscillations in networks of electrically coupled cells

Proc Natl Acad Sci U S A. 2001 Jul 3;98(14):8095-100 (2001)

Alexander Heimal; Haim Sompolinsky

Stable Orientation Tuning in the Visual Cortex

Preprint submitted to Elsevier Preprint (2000) (2000)

Shamir M, Sompolinsky H.

Thouless-anderson-palmer equations for neural networks

Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics. 2000 Feb;61(2):1839-44 (2000)

Lee D., Rokni U., Sompolinsky H.

Algorithms for independent components analysis and higher order statistics

Advances in Neural Information Processing Systems 12. Kearns M.J., Solla S.A., and Cohn D.A., Editors. MIT Press, Cambridge MA. (2000) (1999)

Daniel D Lee; Haim Sompolinsky

Learning a continuous hidden variable model for binary data

Advances in Neural Information Processing Systems 11. Kearns M.J., Solla S.A., and Cohn D.A., Editors. MIT Press, Cambridge MA. (1999)

Rainer Dietrich, Manfred Opper, and Haim Sompolinsky

Statistical Mechanics of Support Vector Networks

Phys. Rev. Lett. 82, 2975 – Published 5 April 1999 (1999)

Hyoungsoo Yoon; Haim Sompolinsky

The Effect of Correlations on the Fisher Information of Population Codes

Advances in neural information processing systems · June 1999 (1999)

Van Vreeswijk C, Sompolinsky H.

Chaotic balanced state in a model of cortical circuits

Neural Comput. 1998 Aug 15;10(6):1321-71 (1998)

David Hansel; Haim Sompolinsky

Modeling Feature Selectivity in Local Cortical Circuits. In Methods in Neuronal Modeling: From Synapse to Networks

MIT Press, Cambridge, MA, Chapter 13, second edition. (1998) (1998)

H Sompolinsky; Kim J.

On-line Gibbs learning. I. General Theory

Physical Review E, 58: 2335-2347. (1998) (1998)

J. W. Kim and H. Sompolinsky

On-line Gibbs Learning. II. Application to Perceptron and multilayer networks

Phys. Rev. E 58, 2348 (1998)

Sompolinsky H, Shapley R.

New perspectives on the mechanisms for orientation selectivity

Curr Opin Neurobiol. 1997 Aug;7(4):514-22. (1997)

Ben-Yishai R, Hansel D, Sompolinsky H.

Traveling waves and the processing of weakly tuned inputs in a cortical network module

J Comput Neurosci. 1997 Jan;4(1):57-77. (1997)

Hansel D, Sompolinsky H.

Chaos and synchrony in a model of a hypercolumn in visual cortex

J Comput Neurosci. 1996 Mar;3(1):7-34. (1996)

van Vreeswijk C, Sompolinsky H.

Chaos in neuronal networks with balanced excitatory and inhibitory activity

Science. 1996 Dec 6;274(5293):1724-6. (1996)

Mato G, Sompolinsky H.

Neural network models of perceptual learning of angle discrimination

Neural Comput. 1996 Feb 15;8(2):270-99. (1996)

Kim JW, Sompolinsky H.

On-line Gibbs learning

Phys Rev Lett. 1996 Apr 15;76(16):3021-3024. (1996)

Ben-Yishai R, Bar-Or RL, Sompolinsky H.

heory of orientation tuning in visual cortex

Proc Natl Acad Sci U S A. 1995 Apr 25;92(9):3844-8. (1995)

Barkai N, Seung HS, Sompolinsky H.

Local and global convergence of on-line learning

Phys Rev Lett. 1995 Aug 14;75(7):1415-1418. (1995)

H. Sompolinsky; Barkai, N.; H S Seung

On-line Learning of Dichotomies: Algorithms and Learning Curves

Advances in Neural Information Processing Systems. Cowan J.D., Tesauro G. and Alspector J., editors, 7. (1995)

H. Sompolinsky and M. Tsodyks

Segmentation by a Network of Oscillators with Stored Memories

Neural Computation Volume 6 | Issue 4 | July 1994 p.642-657 (1994)

Barkai N, Sompolinsky H.

Statistical mechanics of the maximum-likelihood density estimation

Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics. 1994 Sep;50(3):1766-1769. (1994)

Ginzburg I I, Sompolinsky H.

Theory of correlations in stochastic neural networks

Phys. Rev. E 50, 3171 – Published 1 October 1994 (1994)

Ginzburg I., Sompolinsky H.

Correlation Functions in a Large Stochastic Neural Network

Advances in Neural Information Processing Systems. Cowan J.D., Tesauro G. and Alspector J., editors, 6, 471-476 (1993)

Tsodyks M, Mitkov I I, Sompolinsky H.

Pattern of synchrony in inhomogeneous networks of oscillators with pulse interactions

Phys. Rev. Lett. 71, 1280 – Published 23 August 1993 (1993)

Tsodyks Misha; I Mitkov; Haim Sompolinsky

Pattern of Synchrony in Integrate-and-Fire-Networks

Proceedings of International Conference on Artificial Neural Networks, p. 622-627. (1993) (1993)

N. Barkai, H. S. Seung, and H. Sompolinsky

Scaling laws in learning of classification tasks

Phys. Rev. Lett. 70, 3167 – Published 17 May 1993 (1993)

Seung HS, Sompolinsky H.

Simple models for reading neuronal population codes

Proc Natl Acad Sci U S A. 1993 Nov 15;90(22):10749-53. (1993)

D. Hansel and H. Sompolinsky

Solvable model of spatiotemporal chaos

Phys. Rev. Lett. 71, 2710 – Published 25 October 1993 (1993)

E. R. Grannan, D. Kleinfeld and H. Sompolinsky

Stimulus-Dependent Synchronization of Neuronal Assemblies

Neural Computation Volume 5 | Issue 4 | July 1993 p.550-569 (1993)

Haim Sompolinsky

Theoretical Issues in Learning from Examples

Proceedings of the Third NEC Symposium on Computational Learning and Cognition. (1993) (1993)

Barkai E, Hansel D, Sompolinsky H.

Broken symmetries in multilayered perceptrons

Phys Rev A. 1992 Mar 15;45(6):4146-4161. (1992)

Golomb D, Hansel D, Shraiman B, Sompolinsky H.

Clustering in globally coupled phase oscillators

Phys Rev A. 1992 Mar 15;45(6):3516-3530. (1992)

Tsodyks M., Sompolinsky H.

Processing of Sensory Information by a Network of Oscillators with Memory

International Journal of Neural SystemsVol. 03, No. supp01, pp. 51-56 (1992) (1992)

Seung HS, Opper M.A., Sompolinsky H.

Query by Committee

Proceeding COLT '92 Proceedings of the fifth annual workshop on Computational learning theory Pages 287-294 (1992)

Aranson I I, Golomb D, Sompolinsky H.

Spatial coherence and temporal chaos in macroscopic systems with asymmetrical couplings

Phys Rev Lett. 1992 Jun 15;68(24):3495-3498. (1992)

Seung HS, Sompolinsky H, Tishby N.

Statistical mechanics of learning from examples

Phys. Rev. A 45, 6056 – Published 1 April 1992 (1992)

ELSC Program in Theoretical Neuroscience
Honors:
Member, Executive Board of Edmond and Lily Safra Center for Brain Sciences, Hebrew University
Director, Swartz Theoretical Neuroscience Program, Harvard University Member, Steering Committee, Center for Brain Science, Harvard University Faculty, Methods in Computational Neuroscience Course, Woods Hole Member, USA Society for Neuroscience

Associate Editor, Neural Computation
Member, Israel Society for Neuroscience
Member, Federation of European Neuroscience Societies
Founding member of the Interdisciplinary Center for Neural Computation (ICNC), Hebrew University
Director, ICNC
Member, International Review Committee of the Department of Physics, Swiss Federal Institute of Technology, Zurich
Faculty, Advanced Course in Computational Neuroscience, IBRO/FENS Member, Executive Board of ICNC

2011 Swartz Prize for Theoretical and Computational Neuroscience of the US Society for Neuroscience

2008 Landau Prize for Brain Science
2008 Foreign Honorary Member of the American Academy of Arts and Sciences 2007 William N. Skirball Chair in Neuroscience, Hebrew University
2005 Hebrew University Presidential Award for Outstanding Researcher
1980 Rothschild Fellowship for Postdoctoral Research
1979 Chaim Weizmann Post-Doctoral Fellowship
1977 Sir Isaac Wolfson Prize for Excellence in Doctoral Research, Bar-Ilan University 1974 Bar-Ilan University Fellowship for Excellence
1973 Landau Prize for Outstanding M.Sc. Research
1972 Spiers Prize for Best Undergraduate Student, Bar-Ilan University

Haim Sompolinsky

Professor Emeritus

Email: haim.sompolinsky@mail.huji.ac.il

Phone: +972-54-8820754

Haim Sompolinsky

@Hsompolinsky

Address: The Edmond and Lily Safra Center for Brain Sciences
The Suzanne and Charles Goodman Brain Sciences Building,
Level 2, Room 1201, Edmond J. Safra Campus,
The Hebrew University of Jerusalem, 9190401

William N. Skirball Chair in Neurophysics, Emeritus

Lectures

People

Publications

Oren Peles, Uri Werner-Reiss, Hagai Bergman, Zvi Israel, Eilon Vaadia

Phase-Specific Microstimulation Differentially Modulates Beta Oscillations and Affects Behavior

Cell Reports Volume 30, Issue 8 (2020)

Ben Engelhard, Ran Darshan, Nofar Ozeri-Engelhard, Zvi Israel, Uri Werner-Reiss, David Hansel, Hagai Bergman, Eilon Vaadia

Neuronal activity and learning in local cortical networks are modulated by the action-perception state

bioRxiv (2019)

Lalazar, H. Abbott, L. and Vaadia, E.

Muscle and kinematic representations for arm and BMI control exist in orthogonal subspaces

Cosyne (2016)

Josef Musil, Darron Haylock, Matthew Hayhurst, Samuel Wilkinson, Xavier De Kestelier, Eilon Vaadia

Safra Neuron Screen

Advances in Architectural Geometry 2016 (2016)

Lalazar, H, Abbott LF, Vaadia E.

Tuning Curves for Arm Posture Control in Motor Cortex Are Consistent with Random Connectivity.

PLoS computational biology, Volume: 12, Issue: 5, e1004910 (2016)

Ben, E, Eilon V.

Spatial computation with gamma oscillations

Front Syst. Neuros, Volume: 8, Issue: 165 (2014)

Taubman H, Vaadia E, Paz R, Chechik G.

A Bayesian approach for characterizing direction tuning curves in the supplementary motor area of behaving monkeys

J Neurophysiol. 109(11):2842-51 (2013)

Engelhard B, Ozeri N, Israel Z, Bergman H, Vaadia E.

Inducing Gamma Oscillations and Precise Spike Synchrony by Operant Conditioning via Brain-Machine Interface

Neuron; 77(2):361-75 (2013)

Levy-Tzedek S, Novick I, Arbel R, Abboud S, Maidenbaum S, Vaadia E, Amedi A.

Cross-sensory transfer of sensory-motor information: visuomotor learning affects performance on an audiomotor task, using sensory-substitution

Sci Rep. 2012;2:949 (2012)

Zach N. Inbar D., Grinvald, Y. and Vaadia, E.

Single neurons in M1 and premotor cortex directly reflect behavioral interference

PLoS One. 2012;7(3):e32986. (2012)

Rosin B, Slovik M, Mitelman R, Rivlin-Etzion M, Haber SN, Israel Z, Vaadia E, Bergman H.

Closed-loop deep brain stimulation is superior in ameliorating Parkinsonism

Neuron, 72(2), 370-384 (2011)

Mandelblat-Cerf Y, Novick I, Vaadia E.

Expressions of multiple neuronal dynamics during sensorimotor learning in the motor cortex of behaving monkeys

PLoS One; 6(7):e21626. (2011)

Novick I, Vaadia E.

Just do it: action-dependent learning allows sensory prediction

PLoS One. 2011;6(10):e26020. (2011)

Braun DA, Aertsen A, Paz R, Vaadia E, Rotter S, Mehring C.

Online adaptation and over-trial learning in macaque visuomotor control

Front Comput Neurosci. 2011; 5: 27. (2011)

Mandelblat-Cerf Y, Novick I, Paz R, Link Y, Freeman S, Vaadia E.

The Neuronal Basis of Long-Term Sensorimotor Learning

Journal of Neuroscience 5 January 2011, 31 (1) 300-313 (2011)

15. Eisenberg M, Shmuelof L, Vaadia E, Zohary E.

The Representation of Visual and Motor Aspects of Reaching Movements in the Human Motor Cortex

Journal of Neuroscience, 31 (34) 12377-12384; (2011)

Fritzie Arce, Itai Novick, Yael Mandelblat-Cerf, Zvi Israel, Claude Ghez and Eilon Vaadia

Combined Adaptiveness of Specific Motor-Cortical Ensembles Underlies Learning

Journal of Neuroscience 14 April 2010, 30 (15) 5415-5425 (2010)

Arce F, Novick I, Vaadia E.

Discordant Tasks and Motor Adjustments Affect Interactions between Adaptations to Altered Kinematics and Dynamics

Front Hum Neurosci. 2010 Jan 4;3:65 (2010)

Eisenberg M, Shmuelof L, Vaadia E, Zohary E.

Functional Organization of Human Motor Cortex: Directional Selectivity for Movement

J Neurosci. 2010 Jun 30;30(26):8897-905 (2010)

Arce F, Novick I, Mandelblat-Cerf Y, Vaadia E.

Neuronal correlates of memory formation in motor cortex after adaptation to force field

J Neurosci. 2010 Jul 7;30(27):9189-98 (2010)

22. Birbaumer N and Vaadia E.

Brain computer Interface and Neurofeedback

Neuroscience (2009)

Arce F, Novick I, Shahar M, Link Y, Ghez C, Vaadia E.

Differences in context and feedback result in different trajectories and adaptation strategies in reaching

PLoS ONE. 4(1):e4214. Epub 2009 (2009)

Joshua, M, Adler A, Rosin B, Vaadia E, Bergman H.

Encoding of probabilistic rewarding and aversive events by pallidal and nigral neurons.

Journal of neurophysiology, Volume 101, Issue 2, Pages 758-772 (2009)

Eilon Vaadia, and Niels Birbaumer

Grand challenges of brain computer interfaces in the years to come

Front Neurosci. 2009 Sep; 3(2): 151–154 (2009)

Paz R, Vaadia E.

Learning from learning: what can visuomotor adaptations tell us about the neuronal representation of movement?

Adv Exp Med Biol. 2009;629:221-42. (2009)

Joshua M, Adler A, Prut Y, Vaadia E, Wickens JR, Bergman H.

Synchronization of midbrain dopaminergic neurons is enhanced by rewarding events

Neuron. 62(5):695-704 (2009)

Amir Globerson, Eran Stark, Eilon Vaadia, and Naftali Tishby

The minimum information principle and its application to neural code analysis

PNAS March 3, 2009 106 (9) 3490-3495; (2009)

Mandelblat-Cerf Y, Paz R, Vaadia E.

Trial-to-trial variability of single cells in motor cortices is dynamically modified during visuomotor adaptation

J Neurosci. 2009 Dec 2;29(48):15053-62 (2009)

Neta Zach, Dorrit Inbar, Yael Grinvald, Hagai Bergman and Eilon Vaadia

Emergence of novel representations in primary motor cortex and premotor neurons during associative learning

Journal of Neuroscience 17 September 2008, 28 (38) 9545-9556; (2008)

Rivlin-Etzion M, Marmor O, Saban G, Rosin B, Haber SN, Vaadia E, Prut Y, Bergman H.

Low-pass filter properties of basal ganglia cortical muscle loops in the normal and MPTP primate model of parkinsonism

J Neurosci. 2008 Jan 16;28(3):633-49. (2008)

Joshua, M, Adler A, Mitelman R, Vaadia E, Bergman H.

Midbrain dopaminergic neurons and striatal cholinergic interneurons encode the difference between reward and aversive events at different epochs of probabilistic classical conditioning trials.

Journal of Neuroscience, 28 (45) 11673-11684 (2008)

Lalazar H, Vaadia E.

Neural basis of sensorimotor learning: modifying internal models

Curr Opin Neurobiol. 2008 Dec;18(6):573-81. (2008)

Morris, Nevet, Arkadir, Vaadia and Bergman

Midbrain dopamine neurons encode decisions for future action

Nature Neuroscience volume 9, pages 1057–1063 (2006)

Paz R, Nathan C, Boraud T, Bergman H, Vaadia E.

Acquisition and generalization of visuomotor transformations by nonhuman primates

Exp Brain Res. 2005 Feb;161(2):209-19. (2005)

Rony Paz, Chen Natan, Thomas Boraud, Hagai Bergman and Eilon Vaadia

Emerging patterns of neuronal responses in supplementary and primary motor areas during sensorimotor adaptation

Journal of Neuroscience 23 November 2005, 25 (47) 10941-10951; (2005)

Rickert J, Oliveira SC, Vaadia E, Aertsen A, Rotter S, Mehring C.

Encoding of movement direction in different frequency ranges of motor cortical local field potentials

J Neurosci. 2005 Sep 28;25(39):8815-24. (2005)

Zach N, Kanarek N, Inbar D, Grinvald Y, Milestein T, Vaadia E.

Segregation between acquisition and long-term memory in sensorimotor learning

Eur J Neurosci. 2005 Nov;22(9):2357-62. (2005)

Shpigelman L, Singer Y, Paz R, Vaadia E.

Spikernels: predicting arm movements by embedding population spike rate patterns in inner-product spaces

Neural Comput. 2005 Mar;17(3):671-90. (2005)

Shpigelman, L. Crammer K., Paz, R., Vaadia E. And Singer Y

A Temporal Kernel-Based Model for Tracking Hand-Movements from Neural Activities

Neural Information Processing Systems (NIPS) (2004)

Morris G, Arkadir D, Nevet A, Vaadia E, Bergman H.

Coincident but distinct messages of midbrain dopamine and striatal tonically active neurons

Neuron. 43(1):133-43. (2004)

Mehring C, Nawrot MP, de Oliveira SC, Vaadia E, Schulze-Bonhage A, Aertsen A, Ball T.

Comparing information about arm movement direction in single channels of local and epicortical field potentials from monkey and human motor cortex

J Physiol Paris. 2004 Jul-Nov;98(4-6):498-506. (2004)

Bar-Gad I, Elias S, Vaadia E, Bergman H.

Complex locking rather than complete cessation of neuronal activity in the globus pallidus of a 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine-treated primate in response to pallidal microstimulation

J Neurosci. 2004 Aug 18;24(33):7410-9. (2004)

Arkadir D, Morris G, Vaadia E, Bergman H.

Independent coding of movement direction and reward prediction by single pallidal neurons

J Neurosci. 2004 Nov 10;24(45):10047-56. (2004)

Rony Paz, Eilon Vaadia

Learning-induced improvement in encoding and decoding of specific movement directions by neurons in the primary motor cortex

PLoS Biol. 2004 Feb; 2(2): e45. (2004)

Paz R, Vaadia E.

Specificity of sensorimotor learning and the neural code: neuronal representations in the primary motor cortex

J Physiol Paris. 2004 Jul-Nov;98(4-6):331-48. (2004)

Goldberg JA, Rokni U, Boraud T, Vaadia E, Bergman H.

Spike synchronization in the cortex/basal-ganglia networks of Parkinsonian primates reflects global dynamics of the local field potentials

J Neurosci. 2004 Jun 30;24(26):6003-10. (2004)

Rony Paz, Steven P Wise, Eilon Vaadia

Viewing and doing: similar cortical mechanisms for perceptual and motor learning

Trends in Neurosciences Volume 27, Issue 8, 1 August 2004, Pages 496-503 (2004)

Uri Rokni; Orna Steinberg; Eilon Vaadia; Haim Sompolinsky

Cortical representation of bimanual movements

J Neurosci. 2003 Dec 17;23(37):11577-86. (2003)

Mehring C., Rickert J., Vaadia E., Cardoso de Oliveira S., Aertsen A., Rotter S

Hints for a topographic map of tuning properties in primate motor cortex

1st International IEEE EMBS Special Topic Conference on Neural Engineering (2003)

Mehring C, Rickert J, Vaadia E, Cardosa de Oliveira S, Aertsen A, Rotter S.

Inference of hand movements from local field potentials in monkey motor cortex

Nat Neurosci. 2003 Dec;6(12):1253-4. Epub 2003 Nov 21. (2003)

Paz R, Boraud T, Natan C, Bergman H, Vaadia E.

Preparatory activity in motor cortex reflects learning of local visuomotor skills

Nat Neurosci. 2003 Aug;6(8):882-90. (2003)

Goldberg JA, Boraud T, Maraton S, Haber SN, Vaadia E, Bergman H.

Enhanced synchrony among primary motor cortex neurons in the 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine primate model of Parkinson’s disease

J Neurosci. 2002 Jun 1;22(11):4639-53. (2002)

Steinberg O, Donchin O, Gribova A, Cardosa de Oliveira S, Bergman H, Vaadia E.

Neuronal populations in primary motor cortex encode bimanual arm movements

Eur J Neurosci. 2002 Apr;15(8):1371-80. (2002)

Donchin O, Gribova A, Steinberg O, Mitz AR, Bergman H, Vaadia E.

Single-unit activity related to bimanual arm movements in the primary and supplementary motor cortices

J Neurophysiol. 2002 Dec;88(6):3498-517. (2002)

A. Gribova, O. Donchin, H. Bergman, E. Vaadia, S. Cardoso de Oliveira

Timing of bimanual movements in human and non-human primates in relation to neuronal activity in primary motor cortex and supplementary motor area

Experimental Brain Research October 2002, Volume 146, Issue 3, pp 322–335 (2002)

Raz A, Frechter-Mazar V, Feingold A, Abeles M, Vaadia E, Bergman H.

Activity of pallidal and striatal tonically active neurons is correlated in mptp-treated monkeys but not in normal monkeys

J Neurosci. 2001 Feb 1;21(3):RC128. (2001)

Bar-Gad I, Ritov Y, Vaadia E, Bergman H.

Failure in identification of overlapping spikes from multiple neuron activity causes artificial correlations

J Neurosci Methods. 2001 May 30;107(1-2):1-13. (2001)

O. Donchin, A. Gribova, O. Steinberg, H. Bergman, Cardoso S. de Oliveira, E. Vaadia

Local field potentials related to bimanual movements in the primary and supplementary motor cortices

Experimental Brain Research 140(1):46-55 (2001)

Cardoso de Oliveira S, Gribova A, Donchin O, Bergman H, Vaadia E.

Neural interactions between motor cortical hemispheres during bimanual and unimanual arm movements

Eur J Neurosci. 2001 Dec;14(11):1881-96. (2001)

Vaadia E.

Cognitive neuroscience. Learning how the brain learns

Nature. 2000 Jun 1;405(6786):523-5. (2000)

Raz A, Vaadia E, Bergman H.

Firing patterns and correlations of spontaneous discharge of pallidal neurons in the normal and tremulous MPTP Vervet model of Parkinsonism

J Neurosci. 20(22):8559-71. (2000)

Martignon L, Deco G, Laskey K, Diamond M, Freiwald W, Vaadia E.

Neural coding: higher-order temporal patterns in the neurostatistics of cell assemblies

Neural Comput. 2000 Nov;12(11):2621-53. (2000)

Slovin H, Abeles M, Vaadia E, Haalman I, Prut Y, Bergman H.

Frontal cognitive impairments and saccadic deficits in low-dose MPTP-treated monkeys

J Neurophysiol. 1999 Feb;81(2):858-74. (1999)

Donchin O, de Oliveira SC, Vaadia E.

Who tells one hand what the other is doing: the neurophysiology of bimanual movements

Neuron. 1999 May;23(1):15-8. (1999)

Prut Y, Vaadia E, Bergman H, Haalman I, Slovin H, Abeles M.

Spatiotemporal structure of cortical activity: properties and behavioral relevance

J Neurophysiol. 1998 Jun;79(6):2857-74. (1998)

Haalman I, Vaadia E.

Emergence of spatio-temporal patterns in neuronal activity

Z Naturforsch C. 1998 Jul-Aug;53(7-8):657-69. (1998)

Reimann S, Fuster JM, Gierer A, Mayer-Kress G, Neumann T, Roelfsema P, Rotter S, Schöner G, Stephan A, Vaadia E, Walter H.

Functionally Distinct NMDA Receptors Mediate Horizontal Connectivity within Layer 4 of Mouse Barrel Cortex

Z Naturforsch C. 1998 Jul-Aug;53(7-8):770-4. (1998)

Reimann S, Fuster JM, Gierer A, Mayer-Kress G, Neumann T, Roelfsema P, Rotter S, Schöner G, Stephan A, Vaadia E, Walter H.

Group report: emergent properties of natural and artificial systems

Z Naturforsch C. 1998 Jul-Aug;53(7-8):770-4. (1998)

Ehud Ahissar, Moshe Abeles, Merav Ahissar, Sebastian Haidarliu, Eilon Vaadia

Hebbian-like functional plasticity in the auditory cortex of the behaving monkey

Neuropharmacology 37(4-5):633-55 (1998)

Bergman H, Feingold A, Nini A, Raz A, Slovin H, Abeles M, Vaadia E.

Physiological aspects of information processing in the basal ganglia of normal and parkinsonian primates

Trends Neurosci. 1998 Jan;21(1):32-8. (1998)

Donchin O, Gribova A, Steinberg O, Bergman H, Vaadia E.

Primary motor cortex is involved in bimanual coordination

Nature. 1998 Sep 17;395(6699):274-8. (1998)

Haalman I, Vaadia E.

Dynamics of neuronal interactions: relation to behavior, firing rates, and distance between neurons

Hum Brain Mapp. 1997;5(4):249-53. (1997)

Martignon L., Lasky K., Deco, G. and Vaadia E

Learning Exact Patterns of Quasi-synchronization among Spiking Neurons from Data on Multi-unit Recordings

MIT Press, vol. 9, pp: 76-81 (1997)

Raz A, Feingold A, Zelanskaya V, Vaadia E, Bergman H.

Neuronal synchronization of tonically active neurons in the striatum of normal and Parkinsonian primates

J Neurophysiol; 76(3):2083-8. (1996J Neurophysiol; 76(3):2083-8.)

Seidemann E, Meilijson I, Abeles M, Bergman H, Vaadia E.

Simultaneously recorded single units in the frontal cortex go through sequences of discrete and stable states in monkeys performing a delayed localization task

J Neurosci. 1996 Jan 15;16(2):752-68. (1996)

Vaadia E, Aertsen A, Nelken I.

‘Dynamics of neuronal interactions’ cannot be explained by ‘neuronal transients’

Proc Biol Sci. 1995 Sep 22;261(1362):407-10. (1995)

Abeles M, Bergman H, Gat I, Meilijson I, Seidemann E, Tishby N, Vaadia E.

Cortical activity flips among quasi-stationary states

Proc Natl Acad Sci U S A. 1995 Sep 12;92(19):8616-20. (1995)

Vaadia E, Haalman I, Abeles M, Bergman H, Prut Y, Slovin H, Aertsen A.

Dynamics of neuronal interactions in monkey cortex in relation to behavioural events

Nature. 1995 Feb 9;373(6514):515-8. (1995)

Nelken I, Prut Y, Vaadia E, Abeles M.

In search of the best stimulus: an optimization procedure for finding efficient stimuli in the cat auditory cortex

Hear Res. 1994 Jan;72(1-2):237-53. (1994)

Nelken I, Prut Y, Vaadia E, Abeles M.

Population responses to multifrequency sounds in the cat auditory cortex: one- and two-parameter families of sounds

Hear Res. 1994 Jan;72(1-2):206-22. (1994)

Abeles M, Prut Y, Bergman H, Vaadia E.

Synchronization in neuronal transmission and its importance for information processing

Prog Brain Res. 1994;102:395-404. (1994)

Abeles M, Bergman H, Margalit E, Vaadia E.

Spatiotemporal firing patterns in the frontal cortex of behaving monkeys

J Neurophysiol. 1993 Oct;70(4):1629-38. (1993)

Ahissar E, Vaadia E, Ahissar M, Bergman H, Arieli A, Abeles M.

Dependence of cortical plasticity on correlated activity of single neurons and on behavioral context

Science. 1992 Sep 4;257(5075):1412-5. (1992)

Ahissar M, Ahissar E, Bergman H, Vaadia E.

Encoding of sound-source location and movement: activity of single neurons and interactions between adjacent neurons in the monkey auditory cortex

J Neurophysiol. 1992 Jan;67(1):203-15. (1992)

Aertsen A, Vaadia E, Abeles M, Ahissar E, Bergman H, Karmon B, Lavner Y, Margalit E, Nelken I, Rotter S.

Neural interactions in the frontal cortex of a behaving monkey: signs of dependence on stimulus context and behavioral state

J Hirnforsch. 1991;32(6):735-43. (1991)

Nelken I, Vaadia E.

A sensitive estimator for crosscorrelograms

Biol Cybern. 1990;64(1):51-60. (1990)

Ahissar E, Vaadia E.

Oscillatory activity of single units in a somatosensory cortex of an awake monkey and their possible role in texture analysis

Proc Natl Acad Sci U S A. 1990 Nov;87(22):8935-9. (1990)

Vaadia E, Bergman H, Abeles M.

Neuronal activities related to higher brain functions–theoretical and experimental implications

IEEE Trans Biomed Eng. 1989 Jan;36(1):25-35. (1989)

Gottlieb Y, Vaadia E, Abeles M.

Single unit activity in the auditory cortex of a monkey performing a short term memory task

Exp Brain Res. 1989;74(1):139-48. (1989)

Vaadia E.

Single-unit activity related to active localization of acoustic and visual stimuli in the frontal cortex of the rhesus monkey

Brain Behav Evol. 1989;33(2-3):127-31. (1989)

Vaadia E, Kurata K, Wise SP.

Neuronal activity preceding directional and nondirectional cues in the premotor cortex of rhesus monkeys

Somatosens Mot Res. 1988;6(2):207-30. (1988)

Vaadia E, Abeles M.

Temporal firing patterns of single units, pairs and triplets of units in the auditory cortex

Isr J Med Sci. 1987 Jan-Feb;23(1-2):75-83. (1987)

Vaadia E, Benson DA, Hienz RD, Goldstein MH Jr.

Unit study of monkey frontal cortex: active localization of auditory and of visual stimuli

J Neurophysiol. 1986 Oct;56(4):934-52. (1986)

Frostig RD, Gottlieb Y, Vaadia E, Abeles M.

The effects of stimuli on the activity and functional connectivity of local neuronal groups in the cat auditory cortex

Brain Res. 1983 Aug 8;272(2):211-21. (1983)

Vaadia E, Gottlieb Y, Abeles M.

Single-unit activity related to sensorimotor association in auditory cortex of a monkey

J Neurophysiol. 1982 Nov;48(5):1201-13. (1982)

Open Positions

At this time there are no available positions in the lab.

Additional Information

Eilon Vaadia

Professor Emeritus

Email: eilon.vaadia@elsc.huji.ac.il

Eilon Vaadia

@eilon_vaadia

Address: The Edmond and Lily Safra Center for Brain Sciences
The Suzanne and Charles Goodman Brain Sciences Building,
Level 2, Room 1205, Edmond J. Safra Campus,
The Hebrew University of Jerusalem, 9190401