.png){kind=icon}
返回
Map-based models in neuronal dynamics
.png){kind=icon}
PRE
AI
DOI：10.1016/j.physrep.2010.12.003.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
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.
Keyword:
Map-based
Discrete-time
Neuron models
Neural networks
Nonlinear dynamics
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
P
IF:
29.5
论文数:
3.0K
被引数:
3.8W
机构
引用论文
PCBs in Lake Superior, 1978-1992: Decreases in Water Concentrations Reflect Loss by Volatilization
PREAI
分享收藏Move to the rhythm: oscillations in the subthalamic nucleus-external globus pallidus network.png)
TRENDS IN NEUROSCIENCES
TRENDS IN NEUROSCIENCESIF15.1
PREAI
分享收藏Central pattern generators and the control of rhythmic movements中央模式发生器和节奏运动的控制CURRENT BIOLOGY
OAAI
CURRENT BIOLOGYIF7.5
OAAI分享收藏分享收藏
查看更多内容