title: Stochastic Network Models in Neuroscience: A Festschrift for Jack Cowan. Introduction to the Special Issue.
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.
authors.affiliation: Department of Mathematics, University of Utah, 155 South 1400 East, Salt Lake City, UT, 84112, USA.
authors.forename: Paul C
authors.initials: PC
authors.lastname: Bressloff
authors.affiliation: Department of Mathematics, University of Pittsburgh, Pittsburgh, PA, 15260, USA.
authors.forename: Bard
authors.initials: B
authors.lastname: Ermentrout
authors.affiliation: INRIA and LJAD, University of Nice-Sophia-Antipolis, Nice, France.
authors.forename: Olivier
authors.initials: O
authors.lastname: Faugeras
authors.affiliation: Department of Mathematics, Applied Mathematics and Statistics, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, OH, 44106-7058, USA. pjthomas@case.edu.
authors.forename: Peter J
authors.initials: PJ
authors.lastname: Thomas