Highly Heterogeneous Excitatory Connections Require Less Amount of Noise to Sustain Firing Activities in Cortical Networks.

Kada, Hisashi; Teramae, Jun-Nosuke; Tokuda, Isao T

Kada, Hisashi; Teramae, Jun-Nosuke; Tokuda, Isao T.

Afiliação

Kada H; Department of Mechanical Engineering, Ritsumeikan University, Kusatsu-shi, Japan.
Teramae JN; Graduate School of Informatics, Kyoto University, Kyoto, Japan.
Tokuda IT; Department of Mechanical Engineering, Ritsumeikan University, Kusatsu-shi, Japan.

Front Comput Neurosci ; 12: 104, 2018.

Article em En | MEDLINE | ID: mdl-30622467

Palavras-chave

cortical network; excitatory and inhibitory connections; heterogeneity; lognormal distribution; network firing activity; synaptic noise

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2018 Tipo de documento: Article