Misha Tsodyks | |
|---|---|
| Nationality | Russian |
| Alma mater | Moscow Institute of Physics and Technology, Landau Institute for Theoretical Physics |
| Known for | Synaptic plasticity, Attractor neural networks, place-related activity in Hippocampus, population activity and functional architecture in the primary visual cortex |
| Awards | Mathematical Neuroscience Prize Morris L. Levinson Biology Prize |
| Scientific career | |
| Fields | Theoretical Neuroscience |
| Institutions | Weizmann Institute of Science, Institute for Advanced Study |
Misha Tsodyks is a leading theoretical and computational neuroscientist whose research focuses on identifying neural algorithms underlying cortical systems and cognitive behavior. His most notable achievements include demonstrating the importance of sparsity in neural networks, describing the mechanisms of short-term synaptic plasticity and working and associative memory.[1]
As of 2019, Tsodyks is the C.V. Starr Professor at the Institute for Advanced Study in New Jersey. He also teaches at the Weizmann Institute of Science and serves as the Chief Editor of Frontiers of Computational Neuroscience.[2]
Tsodyks has received numerous awards for his work in the field including the Mathematical Neuroscience Prize, the Morris L. Levinson Biology Prize, membership of the Society for Neuroscience, and membership of the editorial board of various scientific journals.