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Optimizing the human learnability of abstract network representations.
Qian, William; Lynn, Christopher W; Klishin, Andrei A; Stiso, Jennifer; Christianson, Nicolas H; Bassett, Dani S.
Afiliación
  • Qian W; Department of Physics and Astronomy, College of Arts and Sciences, University of Pennsylvania, Philadelphia, PA 19104.
  • Lynn CW; Initiative for the Theoretical Sciences, Graduate Center, City University of New York, New York, NY 10016.
  • Klishin AA; Joseph Henry Laboratories of Physics, Princeton University, Princeton, NJ 08544.
  • Stiso J; Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544.
  • Christianson NH; Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA 19104.
  • Bassett DS; Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA 19104.
Proc Natl Acad Sci U S A ; 119(35): e2121338119, 2022 08 30.
Article en En | MEDLINE | ID: mdl-35994661
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Simulación por Computador / Conocimiento / Aprendizaje / Modelos Psicológicos Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Proc Natl Acad Sci U S A Año: 2022 Tipo del documento: Article
Texto completo
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Simulación por Computador / Conocimiento / Aprendizaje / Modelos Psicológicos Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Proc Natl Acad Sci U S A Año: 2022 Tipo del documento: Article