期刊
PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS
卷 501, 期 1-2, 页码 1-74出版社
ELSEVIER
DOI: 10.1016/j.physrep.2010.12.003
关键词
Map-based; Discrete-time; Neuron models; Neural networks; Nonlinear dynamics
资金
- Spanish Ministry of Science and Technology [BFM2003-03081]
- Spanish Ministry of Education and Science [FIS2008-04120, FIS2006-08525]
- Spanish Ministry of Science and Innovation [FIS2009-09898]
- Fundacion Ramon Areces
Ever since the pioneering work of Hodgkin and Huxley, biological neuron models have consisted of ODEs representing the evolution of the transmembrane voltage and the dynamics of ionic conductances. It is only recently that discrete dynamical systems - also known as maps - have begun to receive attention as valid phenomenological neuron models. The present review tries to provide a coherent perspective of map-based biological neuron models, describing their dynamical properties; stressing the similarities and differences, both among them and in relation to continuous-time models; exploring their behavior in networks; and examining their wide-ranging possibilities of application in computational neuroscience. (C) 2010 Elsevier B.V. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据