Sompolinsky, Haim

Chaos in random neural networks

Sompolinsky, H., Crisanti, A., & Sommers, H. J. (1988) · Physical Review Letters

Chaos control and synchronizationNonlinear Dynamics and Pattern Formation

Cited by 1,061

Statistical mechanics of learning from examples

Seung, H. S., Sompolinsky, H., & Tishby, N. (1992) · Physical Review A

Neural Networks and ApplicationsTheoretical and Computational Physics

Cited by 532

Learning Input Correlations through Nonlinear Temporally Asymmetric Hebbian Plasticity

Gütig, R., Aharonov, R., Rotter, S., & Sompolinsky, H. (2003) · The Journal of Neuroscience

Neural dynamics and brain functionNeuroscience and Neuropharmacology Research

Cited by 401

Associative recall of memory without errors

Kanter, I., & Sompolinsky, H. (1987) · Physical Review A

Neural Networks and ApplicationsTheoretical and Computational Physics

Cited by 379

From Whole-Brain Data to Functional Circuit Models: The Zebrafish Optomotor Response

Naumann, E. A., Fitzgerald, J. E., Dunn, T. W., Rihel, J., Sompolinsky, H., & Engert, F. (2016) · Cell

Zebrafish Biomedical Research ApplicationsNeural dynamics and brain function

Cited by 315

Brain-wide Organization of Neuronal Activity and Convergent Sensorimotor Transformations in Larval Zebrafish

Chen, X., Mu, Y., Hu, Y., Kuan, A. T., Nikitchenko, M., Randlett, O., Chen, A. B., Gavornik, J. P., Sompolinsky, H., Engert, F., et al. (2018) · Neuron

Neural dynamics and brain functionZebrafish Biomedical Research Applications

Cited by 199

Locally ordered representation of 3D space in the entorhinal cortex

Ginosar, G., Aljadeff, J., Burak, Y., Sompolinsky, H., Las, L., & Ulanovsky, N. (2021) · Nature

Memory and Neural MechanismsSpatial Cognition and Navigation

Cited by 111

Neural representational geometry underlies few-shot concept learning

Sorscher, B., Ganguli, S., & Sompolinsky, H. (2022) · Proceedings of the National Academy of Sciences

Domain Adaptation and Few-Shot LearningMemory and Neural Mechanisms

Cited by 78

Representations and generalization in artificial and brain neural networks

Li, Q., Sorscher, B., & Sompolinsky, H. (2024) · Proceedings of the National Academy of Sciences

Neural Networks and ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 27