Behaviour of two-compartment models

被引：8

作者：

Feng, JF ^{[1
]}

Li, GB

机构：

[1] Univ Sussex, Sch Cognit & Comp Sci, COGC, Brighton BN1 9QH, E Sussex, England

[2] Babraham Inst, Computat Neurosci Lab, Cambridge CB2 4AT, England

来源：

NEUROCOMPUTING | 2001年 / 38卷

基金：

英国生物技术与生命科学研究理事会;

关键词：

two-compartment integrate-and-fire model; Pinsky-Rinzel model; coefficient of variation; slope detector;

D O I：

10.1016/S0925-2312(01)00510-0

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

For two-compartment models: the integrate-and-fire model and the Pinsky-Rinzel model, we show that the smaller the soma is, the faster and the more irregularly the neuron fires. We also find that when the soma is small, two-compartment models can be naturally employed as slope detectors. (C) 2001 Elsevier Science B.V. All rights reserved.

引用

页码：205 / 211

页数：7

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