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A learning-based approach to artificial sensory feedback leads to optimal integration.
Dadarlat, Maria C; O'Doherty, Joseph E; Sabes, Philip N.
Afiliação
  • Dadarlat MC; 1] Department of Physiology, University of California, San Francisco, California, USA. [2] Center for Integrative Neuroscience, University of California, San Francisco, California, USA. [3] UC Berkeley-UCSF Center for Neural Engineering and Prosthetics, University of California, San Francisco, California, USA. [4] UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, San Francisco, California, USA.
  • O'Doherty JE; 1] Department of Physiology, University of California, San Francisco, California, USA. [2] Center for Integrative Neuroscience, University of California, San Francisco, California, USA. [3] UC Berkeley-UCSF Center for Neural Engineering and Prosthetics, University of California, San Francisco, California, USA.
  • Sabes PN; 1] Department of Physiology, University of California, San Francisco, California, USA. [2] Center for Integrative Neuroscience, University of California, San Francisco, California, USA. [3] UC Berkeley-UCSF Center for Neural Engineering and Prosthetics, University of California, San Francisco, California, USA. [4] UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, San Francisco, California, USA.
Nat Neurosci ; 18(1): 138-44, 2015 Jan.
Article em En | MEDLINE | ID: mdl-25420067
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Sensação / Retroalimentação Psicológica / Aprendizagem Limite: Animals Idioma: En Ano de publicação: 2015 Tipo de documento: Article
Texto completo
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Sensação / Retroalimentação Psicológica / Aprendizagem Limite: Animals Idioma: En Ano de publicação: 2015 Tipo de documento: Article