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Stochastic Network Models in Neuroscience: A Festschrift for Jack Cowan. Introduction to the Special Issue.
The Journal of Mathematical Neuroscience ( IF 2.3 ) Pub Date : 2016-04-05 , DOI: 10.1186/s13408-016-0036-y
Paul C Bressloff 1 , Bard Ermentrout 2 , Olivier Faugeras 3 , Peter J Thomas 4
Affiliation  

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.

中文翻译:

神经科学中的随机网络模型:杰克·科万(Jack Cowan)的节日演讲。特刊简介。

杰克·考恩(Jack Cowan)杰出的职业生涯横跨并塑造了神经科学的发展,将其作为定量和数学学科,结合了深厚的理论贡献,严格的数学工作和开创性的生物学见解。班夫国际研究站于2014年7月17日至24日举办了一个以“新皮层的随机网络模型”为题的研讨会。伴随Festschrift参加的Festschrift通过整合当前对神经网络随机现象的研究来庆祝Cowan的贡献。它结合了历史观点和新结果,包括应用于癫痫,路径积分方法,随机同步,高阶相关分析和视觉皮层中的图案形成。
更新日期:2019-11-01
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