Departments of Statistics and Neurobiology, and the College
Nicolas Brunel is currently performing research on theoretical/computational neuroscience. His long-term goal is to use theoretical tools to make significant progress on the understanding of how the brain works. Over the past 20 years, his research has focused on three main topics: modeling individual neurons; the dynamics of large networks of spiking neurons, including the characterization of the emergence of irregular states; and learning and memory.
He has published more than 50 articles in refereed journals in his research areas of interest, including “Storage of Correlated Patterns in Standard and Bistable Purkinje Cell Models” and “A Calcium-based Plasticity Model Explains Sensitivity of Synaptic Changes to Spike Pattern, Rate, and Dendritic Location.”
Brunel received his bachelor’s equivalent from the École Normale Supérieure in Paris in 1990 and his PhD from the Université Pierre et Marie Curie in Paris in 1993. In 2001, he received his habilitation from the Université Pierre et Marie Curie.
Brunel joined the University of Chicago faculty in 2012.