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Neural networks: Explaining animal behavior with prior knowledge of the world.
Kotkat, Ann H; Katzner, Steffen; Busse, Laura.
Afiliação
  • Kotkat AH; Division of Neuroscience, Faculty of Biology, LMU Munich, Martinsried 82152, Germany; Graduate School of Systemic Neurosciences (GSN), LMU Munich, Martinsried 82152, Germany.
  • Katzner S; Division of Neuroscience, Faculty of Biology, LMU Munich, Martinsried 82152, Germany.
  • Busse L; Division of Neuroscience, Faculty of Biology, LMU Munich, Martinsried 82152, Germany; Bernstein Centre for Computational Neuroscience, Martinsried 82152, Germany. Electronic address: busse@bio.lmu.de.
Curr Biol ; 33(4): R138-R140, 2023 02 27.
Article em En | MEDLINE | ID: mdl-36854269
ABSTRACT
Animal behavior is both facilitated and constrained by innate knowledge and previous experience of the world. A new study, exploiting the power of recurrent neural networks, has revealed the existence of such structural priors and their impact on animal behavior.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Comportamento Animal / Conhecimento Limite: Animals Idioma: En Revista: Curr Biol Assunto da revista: BIOLOGIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Alemanha

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Comportamento Animal / Conhecimento Limite: Animals Idioma: En Revista: Curr Biol Assunto da revista: BIOLOGIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Alemanha