Non-monotonic current-to-rate response function in a novel integrate-and-fire model neuron

被引：0

作者：

Giugliano, M ^{[1
]}

La Camera, G ^{[1
]}

Rauch, A ^{[1
]}

Lüscher, HR ^{[1
]}

Fusi, S ^{[1
]}

机构：

[1] Univ Bern, Inst Physiol, CH-3012 Bern 5, Switzerland

来源：

ARTIFICIAL NEURAL NETWORKS - ICANN 2002 | 2002年 / 2415卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A novel integrate-and-fire model neuron is proposed to account for a non-monotonic f-I response function, as experimentally observed. As opposed to classical forms of adaptation, the present integrate-and-fire model the spike-emission process incorporates a state - dependent inactivation that makes the probability of emitting a spike decreasing as a function of the mean depolarization level instead of the mean firing rate.

引用

页码：141 / 146

页数：6

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