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Abstract:

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. © 2015 Elsevier Inc.

Registro:

Documento: Artículo
Título:Confidence as Bayesian Probability: From Neural Origins to Behavior
Autor:Meyniel, F.; Sigman, M.; Mainen, Z.F.
Filiación:Cognitive Neuroimaging Unit, CEA DSV/I2BM, INSERM, Université Paris-Sud, Université Paris-Saclay, NeuroSpin center, Gif sur Yvette Cedex, F-91191, France
Departamento de Física, FCEN, UBA and IFIBA, Universidad Torcuato Di Tella, Buenos Aires, Caba, 1428, Argentina
Champalimaud Neuroscience Programme, Champalimaud Centre for the Unknown, Lisbon, 1400-038, Portugal
Palabras clave:accuracy; association; Bayes theorem; Bayesian probability; behavior; cognition; confusion (uncertainty); decision making; forced choice method; human; information seeking; learning; nonhuman; orbital cortex; orientation; perceptive discrimination; positive feedback; priority journal; probability; Review; reward; sensorimotor integration; transcranial magnetic stimulation; animal; Bayes theorem; brain; physiology; probability; psychological model; Animals; Bayes Theorem; Brain; Cognition; Decision Making; Humans; Models, Psychological; Probability
Año:2015
Volumen:88
Número:1
Página de inicio:78
Página de fin:92
DOI: http://dx.doi.org/10.1016/j.neuron.2015.09.039
Título revista:Neuron
Título revista abreviado:Neuron
ISSN:08966273
CODEN:NERNE
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_08966273_v88_n1_p78_Meyniel

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Citas:

---------- APA ----------
Meyniel, F., Sigman, M. & Mainen, Z.F. (2015) . Confidence as Bayesian Probability: From Neural Origins to Behavior. Neuron, 88(1), 78-92.
http://dx.doi.org/10.1016/j.neuron.2015.09.039
---------- CHICAGO ----------
Meyniel, F., Sigman, M., Mainen, Z.F. "Confidence as Bayesian Probability: From Neural Origins to Behavior" . Neuron 88, no. 1 (2015) : 78-92.
http://dx.doi.org/10.1016/j.neuron.2015.09.039
---------- MLA ----------
Meyniel, F., Sigman, M., Mainen, Z.F. "Confidence as Bayesian Probability: From Neural Origins to Behavior" . Neuron, vol. 88, no. 1, 2015, pp. 78-92.
http://dx.doi.org/10.1016/j.neuron.2015.09.039
---------- VANCOUVER ----------
Meyniel, F., Sigman, M., Mainen, Z.F. Confidence as Bayesian Probability: From Neural Origins to Behavior. Neuron. 2015;88(1):78-92.
http://dx.doi.org/10.1016/j.neuron.2015.09.039