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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.
Affiliation
  • 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 in En | MEDLINE | ID: mdl-36166481
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Neural Networks, Computer / Insecta Type of study: Prognostic_studies Limits: Animals Language: En Journal: PLoS Comput Biol Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2022 Document type: Article Affiliation country: United States
Fulltext
Add to My VHL
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Neural Networks, Computer / Insecta Type of study: Prognostic_studies Limits: Animals Language: En Journal: PLoS Comput Biol Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2022 Document type: Article Affiliation country: United States