Ethan Meyers

Ethan Meyers holds dual academic positions as a Visiting Professor in the Department of Statistics and Data Science at Yale University and an Associate Professor of Statistics at Hampshire College. He also maintains a research affiliation with the Center for Brains, Minds and Machines at MIT. His academic work bridges neuroscience, statistics, and computational methods.

Dr. Meyers' research focuses on understanding how information is coded in neural activity, with particular emphasis on high-level visual and cognitive brain regions. His work combines experimental neuroscience with computational approaches, developing sophisticated tools to analyze high-dimensional neural recordings. His research spans neural population coding, working memory systems, face recognition mechanisms, and object perception.

Analysis of his publication record from 2004-2018 reveals a consistent trajectory in computational neuroscience, with increasing focus on population-level neural dynamics. His work shows strong interdisciplinary connections between neuroscience, machine learning, and statistics, particularly in developing methods for decoding neural activity. Key themes include dynamic population coding, neural representations of visual information, and the development of computational tools for neural data analysis.

Dr. Meyers has developed the Neural Decoding Toolbox, a significant contribution to the field that enables researchers to analyze neural population activity. His work with primate visual systems, particularly the face patch system, has provided insights into how neural information is processed and represented. His research demonstrates expertise in both experimental design and computational analysis of neural data.