Your browser doesn't support javascript.
loading
Working memory load-dependent changes in cortical network connectivity estimated by machine learning.
Eryilmaz, Hamdi; Dowling, Kevin F; Hughes, Dylan E; Rodriguez-Thompson, Anais; Tanner, Alexandra; Huntington, Charlie; Coon, William G; Roffman, Joshua L.
Afiliação
  • Eryilmaz H; Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA. Electronic address: hamdi.eryilmaz@mgh.harvard.edu.
  • Dowling KF; Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
  • Hughes DE; Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
  • Rodriguez-Thompson A; Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
  • Tanner A; Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
  • Huntington C; Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
  • Coon WG; Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
  • Roffman JL; Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Neuroimage ; 217: 116895, 2020 08 15.
Article em En | MEDLINE | ID: mdl-32360929
Assuntos
Palavras-chave
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Córtex Cerebral / Aprendizado de Máquina / Memória de Curto Prazo / Vias Neurais Tipo de estudo: Prognostic_studies Limite: Adult / Female / Humans / Male Idioma: En Ano de publicação: 2020 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Córtex Cerebral / Aprendizado de Máquina / Memória de Curto Prazo / Vias Neurais Tipo de estudo: Prognostic_studies Limite: Adult / Female / Humans / Male Idioma: En Ano de publicação: 2020 Tipo de documento: Article