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Distinct basal ganglia contributions to learning from implicit and explicit value signals in perceptual decision-making

Psychology

Distinct basal ganglia contributions to learning from implicit and explicit value signals in perceptual decision-making

T. Balsdon, M. A. Pisauro, et al.

This fascinating research by Tarryn Balsdon, M. Andrea Pisauro, and Marios G. Philiastides explores the nuances of how we learn from implicit versus explicit feedback in decision-making. By employing advanced EEG-fMRI techniques, the study unveils unique neural signatures that could revolutionize our understanding of cognitive processes. Dive into the intricate world of perceptual decision-making!

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~3 min • Beginner • English
Abstract
Metacognitive evaluations of confidence provide an estimate of decision accuracy that could guide learning in the absence of explicit feedback. We examine how humans might learn from this implicit feedback in direct comparison with that of explicit feedback, using simultaneous EEG-fMRI. Participants performed a motion direction discrimination task where stimulus difficulty was increased to maintain performance, with intermixed explicit- and no-feedback trials. We isolate single-trial estimates of post-decision confidence using EEG decoding, and find these neural signatures re-emerge at the time of feedback together with separable signatures of explicit feedback. We identified these signatures of implicit versus explicit feedback along a dorsal-ventral gradient in the striatum, a finding uniquely enabled by an EEG-fMRI fusion. These two signals appear to integrate into an aggregate representation in the external globus pallidus, which could broadcast updates to improve cortical decision processing via the thalamus and insular cortex, irrespective of the source of feedback.
Publisher
Nature Communications
Published On
Jun 22, 2024
Authors
Tarryn Balsdon, M. Andrea Pisauro, Marios G. Philiastides
Tags
metacognitive confidence
implicit feedback
explicit feedback
EEG-fMRI
decision-making
neural signatures
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