Synaptic Plasticity and Spike Synchronisation in Neuronal Networks

Autor(es):Mostrar menos -

Borges, Rafael R. ^[1] ; Borges, Fernando S. ^[2] ; Lameu, Ewandson L. ^[3] ; Protachevicz, Paulo R. ^[4] ; Iarosz, Kelly C. ^{[5, 2]} ; Caldas, Ibere L. ^[2] ; Viana, Ricardo L. ^[6] ; Macau, Elbert E. N. ^[3] ; Baptista, Murilo S. ^[5] ; Grebogi, Celso ^[5] ; Batista, Antonio M. ^{[5, 2, 4, 7]}

Afiliação do(s) autor(es)

^[1] Univ Tecnol Fed Parana, Dept Math, Apucarana, PR - Brazil

^[2] Univ Sao Paulo, Inst Phys, Sao Paulo, SP - Brazil

^[3] Natl Inst Space Res, Sao Jose Dos Campos, SP - Brazil

^[4] Univ Estadual Ponta Grossa, Sci, Ponta Grossa, PR - Brazil

^[5] Univ Aberdeen, Inst Complex Syst & Math Biol, Kings Coll, Aberdeen AB24 3UE - Scotland

^[6] Univ Fed Parana, Dept Phys, Curitiba, PR - Brazil

^[7] Univ Estadual Ponta Grossa, Dept Math & Stat, Ponta Grossa, PR - Brazil

• Tipo de documento: Artigo Científico
• Fonte: Brazilian Journal of Physics; v. 47, n. 6, p. 678-688, DEC 2017.
• Citações Web of Science: 2

Resumo

Brain plasticity, also known as neuroplasticity, is a fundamental mechanism of neuronal adaptation in response to changes in the environment or due to brain injury. In this review, we show our results about the effects of synaptic plasticity on neuronal networks composed by Hodgkin-Huxley neurons. We show that the final topology of the evolved network depends crucially on the ratio between the strengths of the inhibitory and excitatory synapses. Excitation of the same order of inhibition revels an evolved network that presents the rich-club phenomenon, well known to exist in the brain. For initial networks with considerably larger inhibitory strengths, we observe the emergence of a complex evolved topology, where neurons sparsely connected to other neurons, also a typical topology of the brain. The presence of noise enhances the strength of both types of synapses, but if the initial network has synapses of both natures with similar strengths. Finally, we show how the synchronous behaviour of the evolved network will reflect its evolved topology. (AU)

• Processo FAPESP: 15/07311-7 - Comportamento dinâmico de redes neurais
• Beneficiário: Kelly Cristiane Iarosz
• Linha de fomento: Bolsas no Brasil - Pós-Doutorado
• Processo FAPESP: 11/19296-1 - Dinâmica não linear
• Beneficiário: Iberê Luiz Caldas
• Linha de fomento: Auxílio à Pesquisa - Temático
• Processo FAPESP: 16/23398-8 - Plasticidade sináptica em redes neuronais com atraso
• Beneficiário: Ewandson Luiz Lameu
• Linha de fomento: Bolsas no Brasil - Pós-Doutorado
• Processo FAPESP: 16/16148-5 - Comportamento síncrono e plasticidade sináptica em redes complexas
• Beneficiário: Kelly Cristiane Iarosz
• Linha de fomento: Bolsas no Exterior - Estágio de Pesquisa - Pós-Doutorado
• Processo FAPESP: 15/50122-0 - Fenômenos dinâmicos em redes complexas: fundamentos e aplicações
• Beneficiário: Elbert Einstein Nehrer Macau
• Linha de fomento: Auxílio à Pesquisa - Temático