Bayesian inference with incomplete knowledge explains perceptual confidence and its deviations from accuracy
A Bayesian framework based on partially observable Markov decision processes (POMDPs) not only predicts subjects’ confidence in a perceptual decision making task but also explains well-known discrepancies between confidence and choice accuracy as arising from incomplete knowledge of the environment....
Enregistré dans:
Auteurs principaux: | Koosha Khalvati, Roozbeh Kiani, Rajesh P. N. Rao |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/6022b29c2e3c48b6af4bb8f3daced477 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Confidence controls perceptual evidence accumulation
par: Tarryn Balsdon, et autres
Publié: (2020) -
Confidence reports in decision-making with multiple alternatives violate the Bayesian confidence hypothesis
par: Hsin-Hung Li, et autres
Publié: (2020) -
Confidence is higher in touch than in vision in cases of perceptual ambiguity
par: Merle T. Fairhurst, et autres
Publié: (2018) -
Multivoxel neurofeedback selectively modulates confidence without changing perceptual performance
par: Aurelio Cortese, et autres
Publié: (2016) -
Bayesian inference of population prevalence
par: Robin AA Ince, et autres
Publié: (2021)