Investigando analiticamente a dinâmica de pares de redes neurais de Wilson - Cowan acopladas

• Ano de defesa: 2016
• Autor(a) principal: Neves, Lucas Leocádio das
• Orientador(a): Monteiro, Luiz Henrique Alves
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Presbiteriana Mackenzie
• Palavras-chave em Português: modelo de Wilson-Cowan; redes neurais; sincronismo; sistemas dinâmicos
• Área do conhecimento CNPq: CNPQ::CIENCIAS BIOLOGICAS::BIOLOGIA GERAL
• Link de acesso: http://dspace.mackenzie.br/handle/10899/24440

The Wilson-Cowan model describes the interaction between an excitatory neuronal population connected to an inhibitory neuronal population. In this work, the dynamics of this network is analytically studied by using a linear approximarion. It is shown that the activity of these neuronal populations can be stationary or periodic, depending on the parameter values. Then, two Wilson-Cowan networks are coupled and the activity of this new system is investigated, also by using a linear approximation. It is numerically shown that coupled networks can exhibit stationary, periodic, or chaotic behavior. The motivation for this work comes from studies on the codes employed by the nervous system to transmit information.