Dynamic range in a neuron network with electrical and chemical synapses

被引：20

作者：

Viana, R. L. ^{[1
]}

Borges, F. S. ^{[2
]}

Iarosz, K. C. ^{[2
]}

Batista, A. M. ^{[3
]}

Lopes, S. R. ^{[1
]}

Caldas, I. L. ^{[4
]}

机构：

[1] Univ Fed Parana, Dept Fis, BR-81531990 Curitiba, Parana, Brazil

[2] Univ Estadual Ponta Grossa, Posgrad Ciencias, BR-84030900 Ponta Grossa, PR, Brazil

[3] Univ Estadual Ponta Grossa, Dept Matemat & Estat, BR-84030900 Ponta Grossa, PR, Brazil

[4] Univ Sao Paulo, Inst Fis, BR-05315970 Sao Paulo, Brazil

来源：

COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION | 2014年 / 19卷 / 01期

基金：

巴西圣保罗研究基金会;

关键词：

Dynamic range; Cellular automata; Neural network; CAT CEREBRAL-CORTEX; OLFACTORY-BULB; GAP-JUNCTIONS; SYNCHRONIZATION; CONNECTIVITY; MODEL; CELL;

D O I：

10.1016/j.cnsns.2013.06.003

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

The dynamic range is the logarithmic difference between maximum and minimum levels of sensation produced by known stimuli. In the human sensory systems the dynamic ranges are typically larger than for single neurons, this amplification being essentially a collective effect of the neural network. We investigated the dynamic range exhibited by a cellular automaton network with electrical and chemical synapses, when the stimuli are modelled by a Poisson process of suprathreshold events of stereotyped unit amplitude and the neuron response is its average firing rate. (c) 2013 Elsevier B.V. All rights reserved.

引用

页码：164 / 172

页数：9

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