Phase-disorder-induced firing activity in excitable neuronal networks with attractive and repulsive coupling


Autoria(s): Liang, Xiaoming; Liang, Zhao
Contribuinte(s)

UNIVERSIDADE DE SÃO PAULO

Data(s)

07/11/2013

07/11/2013

2012

Resumo

It has been revealed that the network of excitable neurons via attractive coupling can generate spikes under stimuli of subthreshold signals with disordered phases. In this paper, we explore the firing activity induced by phase disorder in excitable neuronal networks consisting of both attractive and repulsive coupling. By increasing the fraction of repulsive coupling, we find that, in the weak coupling strength case, the firing threshold of phase disorder is increased and the system response to subthreshold signals is decreased, indicating that the effect of inducing neuron firing by phase disorder is weakened with repulsive coupling. Interestingly, in the large coupling strength case, we see an opposite situation, where the coupled neurons show a rather large response to the subthreshold signals even with small phase disorder. The latter case implies that the effect of phase disorder is enhanced by repulsive coupling. A system of two-coupled excitable neurons is used to explain the role of repulsive coupling on phase-disorder-induced firing activity.

FAPESP of Brazil [2010/50614-7, 2011/50151-0]

CNPq of Brazil [306227/2011-8, 560031/2010-6]

Identificador

NEURAL NETWORKS, OXFORD, v. 35, p. 40-45, NOV, 2012

0893-6080

http://www.producao.usp.br/handle/BDPI/42940

10.1016/j.neunet.2012.08.002

http://dx.doi.org/10.1016/j.neunet.2012.08.002

Idioma(s)

eng

Publicador

PERGAMON-ELSEVIER SCIENCE LTD

OXFORD

Relação

NEURAL NETWORKS

Direitos

restrictedAccess

Copyright PERGAMON-ELSEVIER SCIENCE LTD

Palavras-Chave #REPULSIVE COUPLING #PHASE DISORDER #SUBTHRESHOLD SIGNAL #FITZHUGH-NAGUMO MODEL #STOCHASTIC RESONANCE #STOCHASTIC RESONANCE #SYNCHRONOUS BEHAVIOR #SYSTEMS #NOISE #COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE #NEUROSCIENCES
Tipo

article

original article

publishedVersion