Advancing System Performance with Redundancy: From Biological to Artificial Designs.

Nguyen, Anh Tuan; Xu, Jian; Luu, Diu Khue; Zhao, Qi; Yang, Zhi

Nguyen, Anh Tuan; Xu, Jian; Luu, Diu Khue; Zhao, Qi; Yang, Zhi.

Afiliação

Nguyen AT; Biomedical Engineering, University of Minnesota, Minneapolis, MN 55455, U.S.A. nguy2833@umn.edu.
Xu J; Biomedical Engineering, University of Minnesota, Minneapolis, MN 55455, U.S.A. xuxx1268@umn.edu.
Luu DK; Biomedical Engineering, University of Minnesota, Minneapolis, MN 55455, U.S.A. luu00009@umn.edu.
Zhao Q; Computer Science and Engineering, University of Minnesota, Minneapolis, MN 55455, U.S.A. qzhao@umn.edu.
Yang Z; Biomedical Engineering, University of Minnesota, Minneapolis, MN 55455, U.S.A. yang5029@umn.edu.

Neural Comput ; 31(3): 555-573, 2019 03.

Article em En | MEDLINE | ID: mdl-30645181

Assuntos

Fenômenos Fisiológicos Musculoesqueléticos; Redes Neurais de Computação; Biomimética; Humanos; Modelos Biológicos

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Redes Neurais de Computação / Fenômenos Fisiológicos Musculoesqueléticos Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article

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