Artículo
Confidence as Bayesian Probability: From Neural Origins to Behavior
Fecha de publicación:
10/2015
Editorial:
Cell Press
Revista:
Neuron
ISSN:
0896-6273
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
Research on confidence spreads across several sub-fields of psychology and neuroscience. Here, we explore how a definition of confidence as Bayesian probability can unify these viewpoints. This computational view entails that there are distinct forms in which confidence is represented and used in the brain, including distributional confidence, pertaining to neural representations of probability distributions, and summary confidence, pertaining to scalar summaries of those distributions. Summary confidence is, normatively, derived or “read out” from distributional confidence. Neural implementations of readout will trade off optimality versus flexibility of routing across brain systems, allowing confidence to serve diverse cognitive functions.
Palabras clave:
Bayesian Probability
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Identificadores
Colecciones
Articulos(IFIBA)
Articulos de INST.DE FISICA DE BUENOS AIRES
Articulos de INST.DE FISICA DE BUENOS AIRES
Citación
Meyniel, Florent; Sigman, Mariano; Mainen, Zachary F.; Confidence as Bayesian Probability: From Neural Origins to Behavior; Cell Press; Neuron; 88; 1; 10-2015; 78-92
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