Andrew Connolly

Assistant Professor of Neurology

My approach to understanding how the mind works combines neuroimaging with computational analysis techniques such as pattern classification, multivariate regression, and deep neural networks. Patterns of recorded neural activity define high-dimensional vectors that are time-locked to some complex naturalistic stimulus, for example, the audio and video content of a nature documentary. Investigation of neural activity spaces---across brain regions, across different subjects' brains, or in comparison to computational models of neural processing---can reveal how information is represented and processed by brain tissue.  Thus, we aim to understand not just where cognition occurs in the brain, but how the brain represents the contents of our experiences.

582K01 Borwell, DHMC
HB 6207
Education: 
AA Brookdale Community College
BS Rutgers, The State University of New Jersey
MA University of Pennsylvania
PhD University of Pennsylvania