دورية أكاديمية
A characterization of the neural representation of confidence during probabilistic learning.
| العنوان: | A characterization of the neural representation of confidence during probabilistic learning. |
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| المؤلفون: | Bounmy T; Cognitive Neuroimaging Unit, CEA DRF/Joliot, INSERM, Université Paris-Saclay, NeuroSpin Center, Gif-sur-Yvette, France; Université de Paris, Paris, France. Electronic address: tiffany.bounmy@cea.fr., Eger E; Cognitive Neuroimaging Unit, CEA DRF/Joliot, INSERM, Université Paris-Saclay, NeuroSpin Center, Gif-sur-Yvette, France., Meyniel F; Cognitive Neuroimaging Unit, CEA DRF/Joliot, INSERM, Université Paris-Saclay, NeuroSpin Center, Gif-sur-Yvette, France. Electronic address: florent.meyniel@cea.fr. |
| المصدر: | NeuroImage [Neuroimage] 2023 Mar; Vol. 268, pp. 119849. Date of Electronic Publication: 2023 Jan 12. |
| نوع المنشور: | Journal Article; Research Support, Non-U.S. Gov't |
| اللغة: | English |
| بيانات الدورية: | Publisher: Academic Press Country of Publication: United States NLM ID: 9215515 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1095-9572 (Electronic) Linking ISSN: 10538119 NLM ISO Abbreviation: Neuroimage Subsets: MEDLINE |
| أسماء مطبوعة: | Original Publication: Orlando, FL : Academic Press, c1992- |
| مواضيع طبية MeSH: | Learning* , Probability Learning*, Humans ; Bayes Theorem ; Magnetic Resonance Imaging |
| مستخلص: | Learning in a stochastic and changing environment is a difficult task. Models of learning typically postulate that observations that deviate from the learned predictions are surprising and used to update those predictions. Bayesian accounts further posit the existence of a confidence-weighting mechanism: learning should be modulated by the confidence level that accompanies those predictions. However, the neural bases of this confidence are much less known than the ones of surprise. Here, we used a dynamic probability learning task and high-field MRI to identify putative cortical regions involved in the representation of confidence about predictions during human learning. We devised a stringent test based on the conjunction of four criteria. We localized several regions in parietal and frontal cortices whose activity is sensitive to the confidence of an ideal observer, specifically so with respect to potential confounds (surprise and predictability), and in a way that is invariant to which item is predicted. We also tested for functionality in two ways. First, we localized regions whose activity patterns at the subject level showed an effect of both confidence and surprise in qualitative agreement with the confidence-weighting principle. Second, we found neural representations of ideal confidence that also accounted for subjective confidence. Taken together, those results identify a set of cortical regions potentially implicated in the confidence-weighting of learning. (Copyright © 2023 The Author(s). Published by Elsevier Inc. All rights reserved.) |
| فهرسة مساهمة: | Keywords: Confidence; Functional MRI; Learning; Probabilistic inference; Uncertainty |
| تواريخ الأحداث: | Date Created: 20230114 Date Completed: 20230210 Latest Revision: 20230211 |
| رمز التحديث: | 20230212 |
| DOI: | 10.1016/j.neuroimage.2022.119849 |
| PMID: | 36640947 |
| قاعدة البيانات: | MEDLINE |
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Full Text Finder | تدمد: | 1095-9572 |
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| DOI: | 10.1016/j.neuroimage.2022.119849 |