Haim Sompolinsky
Affiliations: | Hebrew University, Jerusalem, Jerusalem, Israel |
Website:
http://neurophysics.huji.ac.il/~haim/Google:
"Haim Sompolinsky"Mean distance: 12.83 (cluster 17) | S | N | B | C | P |
Children
Sign in to add trainee| Kamesh Krishnamurthy | research assistant | Hebrew University | |
| Uri Cohen | grad student | Hebrew University | |
| David Golomb | grad student | Hebrew University | |
| Yonatan Loewenstein | grad student | Hebrew University | |
| Nava Rubin | grad student | 1989-1990 | Hebrew University |
| Oren Shriki | grad student | 1995-2003 | Hebrew University |
| Joshua A. Goldberg | grad student | 1998-2003 | Hebrew University |
| Xaq Pitkow | grad student | 2003-2006 | Hebrew University |
| Dongsung Huh | grad student | 2006-2008 | Harvard |
| Samuel Zibman | grad student | 2014 | Hebrew University |
| SueYeon Chung | grad student | 2010-2017 | Harvard |
| David Hansel | post-doc | Hebrew University | |
| H Sebastian Seung | post-doc | Hebrew University | |
| Carl van Vreeswijk | post-doc | 1994- | Hebrew University |
| Eran A. Mukamel | post-doc | 2009- | Harvard University Center for Brain Science |
| Robert Gütig | post-doc | 2005-2011 | Hebrew University |
| Yoram Burak | post-doc | 2007-2011 | Harvard University Center for Brain Science |
| Cengiz Pehlevan | post-doc | 2011-2013 | Harvard |
| Daniel D. Lee | research scientist | Penn |
Collaborators
Sign in to add collaborator| David Kleinfeld | collaborator | Hebrew University | |
| Annette Zippelius | collaborator | Cornell | |
| Naftali Tishby | collaborator | 1989- | Hebrew University |
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Publications
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| Cohen U, Sompolinsky H. (2022) Soft-margin classification of object manifolds. Physical Review. E. 106: 024126 |
| Hu Y, Sompolinsky H. (2022) The spectrum of covariance matrices of randomly connected recurrent neuronal networks with linear dynamics. Plos Computational Biology. 18: e1010327 |
| Ginosar G, Aljadeff J, Burak Y, et al. (2021) Locally ordered representation of 3D space in the entorhinal cortex. Nature |
| Advani MS, Saxe AM, Sompolinsky H. (2020) High-dimensional dynamics of generalization error in neural networks. Neural Networks : the Official Journal of the International Neural Network Society. 132: 428-446 |
| Cohen U, Chung S, Lee DD, et al. (2020) Separability and geometry of object manifolds in deep neural networks. Nature Communications. 11: 746 |
| Maor I, Shwartz-Ziv R, Feigin L, et al. (2019) Neural Correlates of Learning Pure Tones or Natural Sounds in the Auditory Cortex. Frontiers in Neural Circuits. 13: 82 |
| Gjorgjieva J, Meister M, Sompolinsky H. (2019) Functional diversity among sensory neurons from efficient coding principles. Plos Computational Biology. 15: e1007476 |
| Landau ID, Sompolinsky H. (2018) Coherent chaos in a recurrent neural network with structured connectivity. Plos Computational Biology. 14: e1006309 |
| Chen X, Mu Y, Hu Y, et al. (2018) Brain-wide Organization of Neuronal Activity and Convergent Sensorimotor Transformations in Larval Zebrafish. Neuron. 100: 876-890.e5 |
| Chung S, Cohen U, Sompolinsky H, et al. (2018) Learning Data Manifolds with a Cutting Plane Method. Neural Computation. 1-23 |