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Stochasticity, Nonlinear Value Functions, and Update Rules in Learning Aesthetic Biases

A theoretical framework for the reinforcement learning of aesthetic biases was recently proposed based on brain circuitries revealed by neuroimaging. A model grounded on that framework accounted for interesting features of human aesthetic biases. These features included individuality, cultural predi...

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Detalles Bibliográficos
Autor principal: Grzywacz, Norberto M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8141583/
https://www.ncbi.nlm.nih.gov/pubmed/34040509
http://dx.doi.org/10.3389/fnhum.2021.639081

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