Stochastic neuron models[electronic ...
Greenwood, Priscilla E.

 

  • Stochastic neuron models[electronic resource] /
  • 紀錄類型: 書目-語言資料,印刷品 : Monograph/item
    杜威分類號: 612.81046
    書名/作者: Stochastic neuron models/ by Priscilla E. Greenwood, Lawrence M. Ward.
    作者: Greenwood, Priscilla E.
    其他作者: Ward, Lawrence M.
    出版者: Cham : : Springer International Publishing :, 2016.
    面頁冊數: x, 75 p. : : ill., digital ;; 24 cm.
    Contained By: Springer eBooks
    標題: Neurons.
    標題: Stochastic processes.
    標題: Mathematics.
    標題: Physiological, Cellular and Medical Topics.
    標題: Probability Theory and Stochastic Processes.
    標題: Neurosciences.
    標題: Statistics for Life Sciences, Medicine, Health Sciences.
    ISBN: 9783319269115
    ISBN: 9783319269092
    內容註: Introduction -- Single Neuron Models -- Population and Subpopulation Models -- Spatially-structured Neural Systems -- The Bigger Picture.
    摘要、提要註: This book describes a large number of open problems in the theory of stochastic neural systems, with the aim of enticing probabilists to work on them. This includes problems arising from stochastic models of individual neurons as well as those arising from stochastic models of the activities of small and large networks of interconnected neurons. The necessary neuroscience background to these problems is outlined within the text, so readers can grasp the context in which they arise. This book will be useful for graduate students and instructors providing material and references for applying probability to stochastic neuron modeling. Methods and results are presented, but the emphasis is on questions where additional stochastic analysis may contribute neuroscience insight. An extensive bibliography is included. Dr. Priscilla E. Greenwood is a Professor Emerita in the Department of Mathematics at the University of British Columbia. Dr. Lawrence M. Ward is a Professor in the Department of Psychology and the Brain Research Centre at the University of British Columbia.
    電子資源: http://dx.doi.org/10.1007/978-3-319-26911-5
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