Pruning deep neural networks generates a sparse, bio-inspired nonlinear controller for insect flight.

Zahn, Olivia; Bustamante, Jorge; Switzer, Callin; Daniel, Thomas L; Kutz, J Nathan

Zahn, Olivia; Bustamante, Jorge; Switzer, Callin; Daniel, Thomas L; Kutz, J Nathan.

Afiliação

Zahn O; Department of Physics, University of Washington, Seattle, Washington, United States of America.
Bustamante J; Department of Biology, University of Washington, Seattle, Washington, United States of America.
Switzer C; Department of Biology, University of Washington, Seattle, Washington, United States of America.
Daniel TL; Department of Biology, University of Washington, Seattle, Washington, United States of America.
Kutz JN; Department of Applied Mathematics, University of Washington, Seattle, Washington, United States of America.

PLoS Comput Biol ; 18(9): e1010512, 2022 09.

Article em En | MEDLINE | ID: mdl-36166481

Assuntos

Insetos; Redes Neurais de Computação; Animais

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Redes Neurais de Computação / Insetos Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Revista: PLoS Comput Biol Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

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