A simple rule for spike-timing-dependent plasticity: local influence of AHP current

被引：0

作者：

Gorchetchnikov, A

Hasselmo, ME

机构：

[1] Boston Univ, Dept Cognit & Neural Syst, Boston, MA 02215 USA

[2] Boston Univ, Dept Psychol, Boston, MA 02215 USA

来源：

NEUROCOMPUTING | 2005年 / 65卷

关键词：

STDP; learning rule; fast AHP; quadratic integrate-and-fire;

D O I：

10.1016/j.neucom.2004.10.088

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A classical Hebbian learning rule was adapted to produce spike-timing-dependent plasticity. The shape of the plasticity curve for this rule is shown to depend on local mechanisms such as the strength and length of afterhyperpolarization of the postsynaptic cell. The suggested rule can serve as a good approximation for network models that use simplified dynamics of membrane currents. (c) 2004 Elsevier B.V. All rights reserved.

引用

页码：885 / 890

页数：6

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