World's Best Scientists 2026 revealed!
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Engineering and Technology
Israel
2026
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Neuroscience
Israel
2026

D-Index & Metrics

Neuroscience

D-Index
76
Citations
28197
World Ranking
1894
National Ranking
12

Engineering and Technology

D-Index
76
Citations
31839
World Ranking
686
National Ranking
3

Research.com Recognitions

  • 2026 - Research.com Engineering and Technology in Israel Leader Award
  • 2026 - Research.com Neuroscience in Israel Leader Award
  • 2023 - Research.com Engineering and Technology in Israel Leader Award
  • 2022 - Research.com Engineering and Technology in Israel Leader Award
  • 2013 - Mathematical Neuroscience Prize, Israel Brain Technologies (IBT)
  • 2011 - Swartz Prize for Theoretical and Computational Neuroscience
  • 2008 - Fellow of the American Academy of Arts and Sciences
  • Member of the European Molecular Biology Organization (EMBO)
  • Member of the European Molecular Biology Organization (EMBO)
  • Member of the European Molecular Biology Organization (EMBO)
  • Member of the European Molecular Biology Organization (EMBO)

Overview

Haim Sompolinsky is affiliated with Harvard University in the United States. Their research spans multiple disciplines, notably Neuroscience and Computer Science, with significant contributions in subfields such as Cognitive Neuroscience, Artificial Intelligence, Electrical and Electronic Engineering, Statistical and Nonlinear Physics, and Cellular and Molecular Neuroscience.

The core topics of Sompolinsky's work encompass Neural Networks and Applications, Neural dynamics and brain function, Visual perception and processing mechanisms, Advanced Memory and Neural Computing, Memory and Neural Mechanisms, stochastic dynamics and bifurcation, and Neuroscience and Neuropharmacology Research.

Sompolinsky has published extensively in venues including arXiv (Cornell University) with 13 publications and bioRxiv (Cold Spring Harbor Laboratory) with 7 publications. Other frequent publication platforms include Physical Review E, Nature Communications, and Proceedings of the National Academy of Sciences.

Among recent papers are:

  • Separability and geometry of object manifolds in deep neural networks, 2020, Nature Communications
  • Locally ordered representation of 3D space in the entorhinal cortex, 2021, Nature
  • Neural representational geometry underlies few-shot concept learning, 2022, Proceedings of the National Academy of Sciences
  • Neural Correlates of Learning Pure Tones or Natural Sounds in the Auditory Cortex, 2020, Frontiers in Neural Circuits
  • Object manifold geometry across the mouse cortical visual hierarchy, 2020, bioRxiv (Cold Spring Harbor Laboratory)

Frequent coauthors collaborating with Sompolinsky include:

  • Ben Sorscher
  • Qianyi Li
  • Uri Cohen
  • Julia Steinberg
  • Haozhe Shan

Their work has been recognized through awards such as the Mathematical Neuroscience Prize from Israel Brain Technologies in 2013, the Swartz Prize for Theoretical and Computational Neuroscience in 2011, election as a Fellow of the American Academy of Arts and Sciences in 2008, and membership in the European Molecular Biology Organization (EMBO).

Best Publications

  • Chaos in Neuronal Networks with Balanced Excitatory and Inhibitory Activity

    C. van Vreeswijk;H. Sompolinsky

  • Query by committee

    H. S. Seung;M. Opper;H. Sompolinsky

  • Spin-glass models of neural networks.

    Daniel J. Amit;Hanoch Gutfreund;H. Sompolinsky

  • Storing infinite numbers of patterns in a spin-glass model of neural networks.

    Daniel J. Amit;Hanoch Gutfreund;H. Sompolinsky

  • Theory of orientation tuning in visual cortex.

    R Ben-Yishai;R L Bar-Or;H Sompolinsky

  • Chaos in random neural networks.

    H. Sompolinsky;H. Sompolinsky;A. Crisanti;A. Crisanti;H. J. Sommers

  • Statistical mechanics of neural networks near saturation

    Daniel J Amit;Hanoch Gutfreund;H Sompolinsky

  • The tempotron: a neuron that learns spike timing–based decisions

    Robert Gütig;Haim Sompolinsky;Haim Sompolinsky;Haim Sompolinsky

  • Chaotic balanced state in a model of cortical circuits

    C. van Vreeswijk;H. Sompolinsky

  • Simple models for reading neuronal population codes

    H S Seung;H Sompolinsky

  • Temporal association in asymmetric neural networks.

    H. Sompolinsky;I. Kanter

  • Statistical mechanics of learning from examples

    Hyunjune Sebastian Seung;Hyunjune Sebastian Seung;H. Sompolinsky;H. Sompolinsky;N. Tishby

  • Relaxational dynamics of the Edwards-Anderson model and the mean-field theory of spin-glasses

    H. Sompolinsky;Annette Zippelius

  • Learning Input Correlations through Nonlinear Temporally Asymmetric Hebbian Plasticity

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

  • Associative recall of memory without errors

    I. Kanter;H. Sompolinsky

  • Spectrum of large random asymmetric matrices

    H. J. Sommers;A. Crisanti;H. Sompolinsky;Y. Stein

  • Information storage in neural networks with low levels of activity

    Daniel J. Amit;Hanoch Gutfreund;H. Sompolinsky

  • Synchronization and computation in a chaotic neural network.

    D. Hansel;H. Sompolinsky

  • Population coding in neuronal systems with correlated noise.

    Haim Sompolinsky;Hyoungsoo Yoon;Kukjin Kang;Maoz Shamir

  • Optimal Degrees of Synaptic Connectivity

    Ashok Litwin-Kumar;Kameron Decker Harris;Richard Axel;Richard Axel;Haim Sompolinsky;Haim Sompolinsky;Haim Sompolinsky

  • Bistability of cerebellar Purkinje cells modulated by sensory stimulation.

    Yonatan Loewenstein;Séverine Mahon;Paul Chadderton;Kazuo Kitamura

  • Equilibrium properties of temporally asymmetric Hebbian plasticity.

    Jonathan Rubin;Daniel D. Lee;H. Sompolinsky;H. Sompolinsky

Frequent Co-Authors

Shlomo Havlin
Shlomo Havlin Bar-Ilan University
Markus Meister
Markus Meister California Institute of Technology
Andrea Crisanti
Andrea Crisanti University of Padua
Surya Ganguli
Surya Ganguli Stanford University
David Golomb
David Golomb Ben-Gurion University of the Negev
David Kleinfeld
David Kleinfeld University of California, San Diego
Yosef Yarom
Yosef Yarom Hebrew University of Jerusalem
Florian Engert
Florian Engert Harvard University
Gaute T. Einevoll
Gaute T. Einevoll Norwegian University of Life Sciences
Gabriel Kotliar
Gabriel Kotliar Rutgers, The State University of New Jersey

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