Entropy-based metrics for predicting choice behavior based on local response to reward

For decades, behavioral scientists have used the matching law to quantify how animals distribute their choices between multiple options in response to reinforcement they receive. More recently, many reinforcement learning (RL) models have been developed to explain choice by integrating reward feedba...

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Detalles Bibliográficos
Autores principales: Trepka, Ethan, Spitmaan, Mehran, Bari, Bilal A., Costa, Vincent D., Cohen, Jeremiah Y., Soltani, Alireza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8590026/
https://www.ncbi.nlm.nih.gov/pubmed/34772943
http://dx.doi.org/10.1038/s41467-021-26784-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8590026/
https://www.ncbi.nlm.nih.gov/pubmed/34772943
http://dx.doi.org/10.1038/s41467-021-26784-w

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