Prof. Haim Sompolinsky

Sompolinsky’s research goal is to uncover the fundamental principles of the organization, dynamics and information processing of the brain, viewing the brain through multiscale lenses, spanning the molecular, cellular, circuit and whole brain levels. To achieve this goal, Sompolinsky has invented new theoretical neuroscience methods based on the principles and methods of theoretical physics, dynamical systems, information theory and statistics, building on his earlier groundbreaking work on critical phenomena, random systems, spin glasses, and chaos. His research areas cover theoretical and computational investigations of cortical dynamics, sensory processing and motor control, long and short- term memory, and learning. The highlights of his research include foundational theories and models of local cortical circuits, visual cortex, associative memory, statistical mechanics of learning, chaos and excitation-inhibition balance in neuronal networks, principles of neural population codes, and the spike time based Tempotron model. He also studies the neuronal mechanisms of volition and the impact of Physics and Neuroscience on the foundations of human freedom and agency. Sompolinsky works closely with research groups throughout the world aiming at experimental validation of the new theoretical ideas and predictions.