| Texto completo | |
| Autor(es): |
Pechersky, Eugene
;
Via, Guillem
;
Yambartsev, Anatoly
Número total de Autores: 3
|
| Tipo de documento: | Artigo Científico |
| Fonte: | Statistics & Probability Letters; v. 123, p. 100-106, APR 2017. |
| Citações Web of Science: | 0 |
| Resumo | |
We propose a new model based on the Ising model with the aim to study synaptic plasticity phenomena in neural networks. It is today well established in biology that the synapses or connections between certain types of neurons are strengthened when the neurons are co-active, a form of the so called synaptic plasticity. Such mechanism is believed to mediate the formation and maintenance of memories. The proposed model describes some features from that phenomenon. Together with the spin-flip dynamics, in our model the coupling constants are also subject to stochastic dynamics, so that they interact with each other. The evolution of the system is described by a continuous-time Markov jump process. (C) 2016 Elsevier B.V. All rights reserved. (AU) | |
| Processo FAPESP: | 15/10785-0 - Plasticidade sináptica num modelo estocástico de redes de neurônios |
| Beneficiário: | Guillem Via Rodriguez |
| Modalidade de apoio: | Bolsas no Brasil - Pós-Doutorado |
| Processo FAPESP: | 13/07699-0 - Centro de Pesquisa, Inovação e Difusão em Neuromatemática - NeuroMat |
| Beneficiário: | Oswaldo Baffa Filho |
| Modalidade de apoio: | Auxílio à Pesquisa - Centros de Pesquisa, Inovação e Difusão - CEPIDs |
| Processo FAPESP: | 15/03452-5 - Alguns problemas matemáticos de física estatística e teoria de radiação |
| Beneficiário: | Anatoli Iambartsev |
| Modalidade de apoio: | Auxílio à Pesquisa - Pesquisador Visitante - Internacional |