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Phase synchronization in a sparse network of randomly connected neurons under the effect of Poissonian spike inputs

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Autor(es):
Boaretto, Bruno R. R. ; Protachevicz, Paulo R. ; Hansen, Matheus ; Oliveira, Jonas ; Andreani, Alexandre C. ; Macau, Elbert E. N.
Número total de Autores: 6
Tipo de documento: Artigo Científico
Fonte: Chaos; v. 33, n. 12, p. 11-pg., 2023-12-01.
Resumo

This article investigates the emergence of phase synchronization in a network of randomly connected neurons by chemical synapses. The study uses the classic Hodgkin-Huxley model to simulate the neuronal dynamics under the action of a train of Poissonian spikes. In such a scenario, we observed the emergence of irregular spikes for a specific range of conductances and also that the phase synchronization of the neurons is reached when the external current is strong enough to induce spiking activity but without overcoming the coupling current. Conversely, if the external current assumes very high values, then an opposite effect is observed, i.e., the prevention of the network synchronization. We explain such behaviors considering different mechanisms involved in the system, such as incoherence, minimization of currents, and stochastic effects from the Poissonian spikes. Furthermore, we present some numerical simulations where the stimulation of only a fraction of neurons, for instance, can induce phase synchronization in the non-stimulated fraction of the network, besides cases in which for larger coupling values, it is possible to propagate the spiking activity in the network when considering stimulation over only one neuron. (AU)

Processo FAPESP: 22/05153-9 - Redes neuronais com plasticidade de curta duração
Beneficiário:Paulo Ricardo Protachevicz
Modalidade de apoio: Bolsas no Exterior - Estágio de Pesquisa - Pós-Doutorado
Processo FAPESP: 21/09839-0 - O papel da corrente sináptica na sincronização de redes neuronais
Beneficiário:Bruno Rafael Reichert Boaretto
Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado
Processo FAPESP: 18/03211-6 - Dinâmica não linear
Beneficiário:Iberê Luiz Caldas
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