Haim Sompolinsky

Hebrew University, Jerusalem, Jerusalem, Israel 
"Haim Sompolinsky"
Mean distance: 12.83 (cluster 17)
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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
Chung S, Lee DD, Sompolinsky H. (2018) Classification and Geometry of General Perceptual Manifolds Physical Review X. 8
Rubin R, Abbott LF, Sompolinsky H. (2017) Balanced excitation and inhibition are required for high-capacity, noise-robust neuronal selectivity. Proceedings of the National Academy of Sciences of the United States of America
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