Evan Schaffer, PhD
Dr. Evan Schaffer joined the Department of Neuroscience at the Friedman Brain Institute in 2023. His lab focuses on understanding the mechanisms and computational principles behind distributed signals in the brain and how neural representations change due to behavioral state and ongoing learning. The Schaffer lab uses mathematical and computational tools to explore the roles of proprioception and behavioral state in higher order cognitive processing and how they are impacted by psychiatric disorders.
Dr. Schaffer received his Ph.D. in Neurobiology from Columbia University in Dr. Larry Abbott’s Lab, where he studied the dynamics of recurrent neural networks. Dr. Schaffer completed his postdoctoral work in Dr. Richard Axel’s Lab at Columbia University. There, he developed network models to understand the consequences of random connectivity in the olfactory system and also developed novel methods to examine activity across the entire brain of behaving Drosophila. For more information, visit www.schafferlab.com.
Computational Biology, Computational Neuroscience, Neural Code, Neural Networks, Neuroscience, Systems Neuroscience, Theoretical Biology, Theoretical Neuroscience
Multi-Disciplinary Training Areas
Artificial Intelligence and Emerging Technologies in Medicine [AIET], Neuroscience [NEU]