Busca avançada
Ano de início
Entree
(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.)

Optimizing information processing in neuronal networks beyond critical states

Texto completo
Autor(es):
Ayres Ferraz, Mariana Sacrini ; Cardeal Melo-Silva, Hiago Lucas ; Kihara, Alexandre Hiroaki
Número total de Autores: 3
Tipo de documento: Artigo Científico
Fonte: PLoS One; v. 12, n. 9 SEP 18 2017.
Citações Web of Science: 2
Resumo

Critical dynamics have been postulated as an ideal regime for neuronal networks in the brain, considering optimal dynamic range and information processing. Herein, we focused on how information entropy encoded in spatiotemporal activity patterns may vary in critical networks. We employed branching process based models to investigate how entropy can be embedded in spatiotemporal patterns. We determined that the information capacity of critical networks may vary depending on the manipulation of microscopic parameters. Specifically, the mean number of connections governed the number of spatiotemporal patterns in the networks. These findings are compatible with those of the real neuronal networks observed in specific brain circuitries, where critical behavior is necessary for the optimal dynamic range response but the uncertainty provided by high entropy as coded by spatiotemporal patterns is not required. With this, we were able to reveal that information processing can be optimized in neuronal networks beyond critical states. (AU)

Processo FAPESP: 14/16711-6 - Relação entre acoplamento celular e microRNAs no desenvolvimento, adaptação e degeneração do sistema nervoso
Beneficiário:Alexandre Hiroaki Kihara
Linha de fomento: Auxílio à Pesquisa - Regular
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