Your browser doesn't support javascript.
loading
Reproducing a decision-making network in a virtual visual discrimination task.
Trapani, Alessandra; Sheiban, Francesco Jamal; Bertone, Elisa; Chiosso, Serena; Colombo, Luca; D'Andrea, Matteo; De Santis, Francesco; Fati, Francesca; Fossati, Veronica; Gonzalez, Victor; Pedrocchi, Alessandra.
Afiliação
  • Trapani A; NearLab, Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.
  • Sheiban FJ; NearLab, Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.
  • Bertone E; NearLab, Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.
  • Chiosso S; NearLab, Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.
  • Colombo L; NearLab, Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.
  • D'Andrea M; NearLab, Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.
  • De Santis F; NearLab, Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.
  • Fati F; NearLab, Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.
  • Fossati V; NearLab, Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.
  • Gonzalez V; NearLab, Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.
  • Pedrocchi A; NearLab, Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.
Front Integr Neurosci ; 16: 930326, 2022.
Article em En | MEDLINE | ID: mdl-36035443
Palavras-chave
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article