Effects of the spike timing-dependent plasticity on the synchronisation in a random Hodgkin-Huxley neuronal network

被引：38

作者：

Borges, R. R. ^{[1
,2
]}

Borges, F. S. ^{[1
]}

Lameu, E. L. ^{[1
]}

Batista, A. M. ^{[1
,3
,4
]}

Iarosz, K. C. ^{[4
]}

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

Viana, R. L. ^{[5
]}

Sanjuan, M. A. F. ^{[6
]}

机构：

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

[2] Univ Tecnol Fed Parana, Dept Matemat, BR-86812460 Apucarana, 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, SP, Brazil

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

[6] Univ Rey Juan Carlos, Dept Fis, Madrid 28933, Spain

来源：

COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION | 2016年 / 34卷

基金：

巴西圣保罗研究基金会;

关键词：

Plasticity; Neuronal network; Synchronisation; CORRELATED ACTIVITY; MODEL; POTENTIATION; AREA;

D O I：

10.1016/j.cnsns.2015.10.005

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

In this paper, we study the effects of spike timing-dependent plasticity on synchronisation in a network of Hodgkin-Huxley neurons. Neuron plasticity is a flexible property of a neuron and its network to change temporarily or permanently their biochemical, physiological, and morphological characteristics, in order to adapt to the environment. Regarding the plasticity, we consider Hebbian rules, specifically for spike timing dependent plasticity (STOP), and with regard to network, we consider that the connections are randomly distributed. We analyse the synchronisation and desynchronisation according to an input level and probability of connections. Moreover, we verify that the transition for synchronisation depends on the neuronal network architecture, and the external perturbation level. (C) 2015 Elsevier B.V. All rights reserved.

引用

页码：12 / 22

页数：11

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