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Abstract representations emerge naturally in neural networks trained to perform multiple tasks

Humans and other animals demonstrate a remarkable ability to generalize knowledge across distinct contexts and objects during natural behavior. We posit that this ability to generalize arises from a specific representational geometry, that we call abstract and that is referred to as disentangled in...

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Detalles Bibliográficos
Autores principales: Johnston, W. Jeffrey, Fusi, Stefano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9950464/
https://www.ncbi.nlm.nih.gov/pubmed/36823136
http://dx.doi.org/10.1038/s41467-023-36583-0

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