Stochastic Network Models in Neuroscience: A Festschrift for Jack Cowan. Introduction to the …

Editorial Open Access Paul C. Bressloff1, Bard Ermentrout2, Olivier Faugeras3 and Peter J. Thomas4Email author The Journal of Mathematical Neuroscience20166:4 DOI: 10.1186/s13408-016-0036-y ©  Bressloff et al. 2016 Received: 18 March 2016 Accepted: 18 March 2016 Published: 4 April 2016 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. Jack Cowan’s remarkable career has spanned, and molded, the development of neuroscience as a…


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