Haim Sompolinsky
- Cognitive Neuroscience top 0.05%
- Neural dynamics and brain function 90
- Visual perception and processing mechanisms 18
- Statistical and Nonlinear Physics top 0.05%
- stochastic dynamics and bifurcation 19
- Cellular and Molecular Neuroscience top 0.2%
- Condensed Matter Physics top 0.5%
- Theoretical and Computational Physics 33
- Artificial Intelligence top 0.05%
- Neural Networks and Applications 66
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- Nonlinear Dynamics and Pattern Formation 15
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- Complex Systems and Time Series Analysis 14
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- Advanced Memory and Neural Computing 13
- Co-authors
- Carl van VreeswijkH. Sebastian SeungHanoch GutfreundDaniel J. AmitIdo KanterA. CrisantiManfred OpperRobert Gütig
- Journals
- Physical Review Letters (30 papers)Physical review. B, Condensed matter (13 papers)Proceedings of the National Academy of Sciences (13 papers)
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Haim Sompolinsky
170 papers receiving 17.5k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Cognitive Neuroscience 10.5k
- Statistical and Nonlinear Physics 4.3k
- Cellular and Molecular Neuroscience 4.2k
- Condensed Matter Physics 2.5k
- Artificial Intelligence 6.2k
Countries citing papers authored by Haim Sompolinsky
This map shows the geographic impact of Haim Sompolinsky's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Haim Sompolinsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haim Sompolinsky more than expected).
Fields of papers citing papers by Haim Sompolinsky
This network shows the impact of papers produced by Haim Sompolinsky. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Haim Sompolinsky. The network helps show where Haim Sompolinsky may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Haim Sompolinsky, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2018 | 103 | |
| 4 | Markov Transitions between Attractor States in a Recurrent Neural Network. | 2017 | 2 |
| 5 | Short-term memory in neuronal networks through dynamical compressed sensing | 2010 | 15 |
| 6 | Inferring Stimulus Selectivity from the Spatial Structure of Neural Network Dynamics | 2010 | 7 |
| 7 | Input-dependent Suppression of Chaos in Recurrent Neural Networks | 2010 | 0 |
| 8 | 2010 | 171 | |
| 9 | 2005 | 98 | |
| 10 | 2004 | 102 | |
| 11 | Computation by calcium dynamics in single neurons a possible solution to the problem of neural integration | 2002 | 1 |
| 12 | 2001 | 35 | |
| 13 | Advances in large margin classifiers | 2000 | 10 |
| 14 | An Information Maximization Approach to Overcomplete and Recurrent Representations | 2000 | 14 |
| 15 | The Effect of Correlations on the Fisher Information of Population Codes | 1998 | 35 |
| 16 | Learning a Continuous Hidden Variable Model for Binary Data | 1998 | 2 |
| 17 | 1996 | 130 | |
| 18 | On-line Learning of Dichotomies | 1994 | 6 |
| 19 | Associative network models for central pattern generators | 1989 | 19 |
| 20 | Spin-glass models of neural networksbreakdown → | 1985 | 733 |
About Haim Sompolinsky
Haim Sompolinsky is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics, Condensed Matter Physics, Artificial Intelligence and Cellular and Molecular Neuroscience, having authored 176 papers that have together received 18.2k indexed citations. Recurring topics across this work include Neural dynamics and brain function (90 papers), Neural Networks and Applications (66 papers), Theoretical and Computational Physics (33 papers), stochastic dynamics and bifurcation (19 papers), Visual perception and processing mechanisms (18 papers), Nonlinear Dynamics and Pattern Formation (15 papers), Complex Systems and Time Series Analysis (14 papers) and Advanced Memory and Neural Computing (13 papers). The work is most often cited by research in Cognitive Neuroscience (10.5k citations), Statistical and Nonlinear Physics (4.3k citations), Cellular and Molecular Neuroscience (4.2k citations), Condensed Matter Physics (2.5k citations) and Artificial Intelligence (6.2k citations). Haim Sompolinsky has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Carl van Vreeswijk, H. Sebastian Seung, Hanoch Gutfreund, Daniel J. Amit, Ido Kanter, A. Crisanti, Manfred Opper, Robert Gütig, Alfred Zippelius and H.-J. Sommers. Their work appears in journals such as Physical Review Letters, Physical review. B, Condensed matter, Proceedings of the National Academy of Sciences, Neural Computation and Neuron.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.