Haim Sompolinsky Lab

ELSC Members

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.

Haim Sompolinsky

Professor Emeritus

Phone: +972-54-8820754
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

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.

ELSC-Seminars-General
Ariel Furstenberg
Research Associate
ELSC-Seminars-General
Nimrod Shaham
Post Doc
ELSC-Seminars-General
Uri Cohen
PhD Student
ELSC-Seminars-General
Gadi Mintz
PhD Student
Qianyi Li, Haim Sompolinsky

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

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

Phys. Rev. E 104, 064301 (2021)

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

Nature Communications (2020)

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

Nat Commun 11, 746 (2020)

Maor Ido, Shwartz-Ziv Ravid, Feigin Libi, Elyada Yishai, Sompolinsky Haim, Mizrahi Adi

Frontiers in Neural Circuits VOLUME=13,PAGES=82 (2020)

Gjorgjieva J, Meister M, Sompolinsky H

PLOS Computational Biology (2019)

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

Frontiers in Human Neuroscience 13:264 (2019)

A Crisanti, H Sompolinsky

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

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

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

Itamar Daniel Landau, Haim Sompolinsky

PLOS Computational Biology (2018)

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

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

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

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

Rubin R, Abbott LF, Sompolinsky H.

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

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

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

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

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

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

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

Baktash Babadi; Haim Sompolinsky

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

Cengiz Pehlevan; Haim Sompolinsky

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

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

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

Haim Sompolinsky

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

Julijana Gjorgjieva; Haim Sompolinsky; Markus Meister

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

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

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

Surya Ganguli; Haim Sompolinsky

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

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

PNAS 108 (10) E36 (2011)

Uri Rokni; Haim Sompolinsky

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

Rubin R, Monasson R, Sompolinsky H.

Phys Rev Lett. 105(21):218102 (2010)

Rajan K, Abbott LF, Sompolinsky H.

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

Surya Ganguli; Haim Sompolinsky

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

Ganguli. S, H. Sompolinsky

Neural Information Processing Systems (2010) (2010)

Yoram Burak; Uri Rokni; Markus Meister; Haim Sompolinsky

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

Rajan, K; L F Abbott; H Sompolinsky

Neural Information Processing Systems (2010) (2010)

Gütig R, Sompolinsky H.

PLoS Biol. 7(7):e1000141 (2009)

Yoram Burak, Sam Lewallen, Haim Sompolinsky

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

Ganguli S, Huh D, Sompolinsky H.

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

Ilana B Witten; Eric I Knudsen; Haim Sompolinsky

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

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

J Neurophysiol. 98(6):3309-20. (2007)

Pitkow X, Sompolinsky H, Meister M.

PLoS Biol. 5(12):e331. (2007)

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

Nature Neurosciencevolume 9, page461 (2006)

Robert Gütig; Haim Sompolinsky

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

Shamir M, Sompolinsky H.

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

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

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

Alexander Borst; Virginia L Flanagin; Haim Sompolinsky

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

Olivia L White; Daniel D Lee; Haim Sompolinsky

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

Joshua A Goldberg; Uri Rokni; Haim Sompolinsky

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

Maoz Shamir; Haim Sompolinsky

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

Kang K, Shapley RM, Sompolinsky H.

J Neurosci. 24(15):3726-35 (2004)

Yonatan Loewenstein; Haim Sompolinsky

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

Oren Shriki; David Hansel; Haim Sompolinsky

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

Vladimir Litvak; Haim Sompolinsky; Idan Segev; Moshe Abeles

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

Kukjin Kang; Michael Shelley; Haim Sompolinsky

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

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

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

Uri Rokni; Orna Steinberg; Eilon Vaadia; Haim Sompolinsky

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

Yonatan Loewenstein; Haim Sompolinsky

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

Loewenstein Y, Yarom Y, Sompolinsky H.

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

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

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

Kang K, Sompolinsky H.

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

Rubin J, Lee DD, Sompolinsky H.

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

Maoz Shamir and Haim Sompolinsky

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