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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Influence of Autapses on Synchronization in Neural Networks With Chemical Synapses

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Autor(es):
Protachevicz, Paulo R. [1] ; Iarosz, Kelly C. [2, 3] ; Caldas, Ibere L. [1] ; Antonopoulos, Chris G. [4] ; Batista, Antonio M. [1, 5] ; Kurths, Jurgen [6, 7, 8]
Número total de Autores: 6
Afiliação do(s) autor(es):
[1] Univ Sao Paulo, Inst Phys, Sao Paulo - Brazil
[2] Fac Telemaco Borba, FATEB, Telemaco Borba - Brazil
[3] Univ Tecnol Fed Parana, Grad Program Chem Engn, Ponta Grossa, Parana - Brazil
[4] Univ Essex, Dept Math Sci, Colchester, Essex - England
[5] Univ Estadual Ponta Grossa, Dept Math & Stat, Ponta Grossa, Parana - Brazil
[6] Humboldt Univ, Dept Phys, Berlin - Germany
[7] Potsdam Inst Climate Impact Res, Dept Complex Sci, Potsdam - Germany
[8] Sechenov First Moscow State Med Univ, Ctr Anal Complex Syst, Moscow - Russia
Número total de Afiliações: 8
Tipo de documento: Artigo Científico
Fonte: FRONTIERS IN SYSTEMS NEUROSCIENCE; v. 14, NOV 30 2020.
Citações Web of Science: 0
Resumo

A great deal of research has been devoted on the investigation of neural dynamics in various network topologies. However, only a few studies have focused on the influence of autapses, synapses from a neuron onto itself via closed loops, on neural synchronization. Here, we build a random network with adaptive exponential integrate-and-fire neurons coupled with chemical synapses, equipped with autapses, to study the effect of the latter on synchronous behavior. We consider time delay in the conductance of the pre-synaptic neuron for excitatory and inhibitory connections. Interestingly, in neural networks consisting of both excitatory and inhibitory neurons, we uncover that synchronous behavior depends on their synapse type. Our results provide evidence on the synchronous and desynchronous activities that emerge in random neural networks with chemical, inhibitory and excitatory synapses where neurons are equipped with autapses. (AU)

Processo FAPESP: 15/50122-0 - Fenômenos dinâmicos em redes complexas: fundamentos e aplicações
Beneficiário:Elbert Einstein Nehrer Macau
Modalidade de apoio: Auxílio à Pesquisa - Temático
Processo FAPESP: 20/04624-2 - Plasticidade sináptica em redes neuronais
Beneficiário:Paulo Ricardo Protachevicz
Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado