Researcher interests: Theory of brain dynamics and functions; theory of the visual cortex; motor control; learning and memory. Information theory and principles of neural computation. Chaos and noise in neural systems. Statistical physics, nonlinear dynamics and biology. Voice recognition and phonem detection.
FACULTY / SCHOOL: Faculty of Science
Contact Business Development: Matt Zarek

Selected Publications

itamar daniel landau, Haim Sompolinsky
coherent chaos in a recurrent neural network with structured connectivity (2018)| PLOS Computational Biology| Read more
aaron kuan, alex chen, florian engert, jeffery gavornik, maxim nikitchenko, misha ahrens, owen randlett, Haim Sompolinsky, xiuye chen
brain wide organization of neuronal activity and convergent sensorimotor transformations in larval zebrafish (2018)| Neuron| Read more
daniel lee, Haim Sompolinsky, sueyeon chung, uri cohen
learning data manifolds with a cutting plane method (2018)| Neural Computation| Read more
daniel lee, Haim Sompolinsky, sueyeon chung
classification and geometry of general perceptual manifolds (2018)| Physical Review X| Read more
abbott, ran rubin, Haim Sompolinsky
balanced excitation and inhibition are required for high capacity noise robust neuronal selectivity (2017)| Proceedings of the National Academy of Sciences of the United States of America| Read more
julijana gjorgjieva, markus meister, Haim Sompolinsky
optimal sensory coding by populations of on and off neurons (2017)| bioRxiv| Read more
abbott, ashok litwinkumar, kameron decker harris, richard axel, Haim Sompolinsky
optimal degrees of synaptic connectivity (2017)| Neuron| Read more
daniel lee, Haim Sompolinsky, sueyeon chung
classification and geometry of general perceptual manifolds (2017)| Physical Review Letters| Read more
itamar daniel landau, marcel oberlaender, robert egger, Haim Sompolinsky, vincent dercksen
the impact of structural heterogeneity on excitation inhibition balance in cortical networks (2016)| Neuron| Read more
eva naumann, florian engert, james fitzgerald, jason rihel, Haim Sompolinsky, timothy dunn
from whole brain data to functional circuit models the zebrafish optomotor response (2016)| Cell| Read more

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Matt Zarek
SCOUTING, IDEATION, AND TECHNOLOGY EVALUATION
+972-2-6586686
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