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Stochastic Network Models in Neuroscience: A Festschrift for Jack Cowan. Introduction to the Special Issue
Paul C Bressloff1, Bard Ermentrout2, Olivier Faugeras3
1Department of Mathematics, University of Utah, 155 South 1400 East, Salt Lake City, UT, 84112, USA.
Abstract:
Jack Cowan's remarkable career has spanned, and molded, the development of neuroscience as a quantitative and mathematical discipline combining deep theoretical contributions, rigorous mathematical work and groundbreaking biological insights. The Banff International Research Station hosted a workshop in his honor, on Stochastic Network Models of Neocortex, July 17-24, 2014. This accompanying Festschrift celebrates Cowan's contributions by assembling current research in stochastic phenomena in neural networks. It combines historical perspectives with new results including applications to epilepsy, path-integral methods, stochastic synchronization, higher-order correlation analysis, and pattern formation in visual cortex.