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Spatiotemporal neural characterization of prediction error valence and surprise during reward learning in humans

Fouragnan, Elsa, Queirazza, Filippo, Retzler, Chris, Mullinger, Karen and Philiastides, Marios (2017) Spatiotemporal neural characterization of prediction error valence and surprise during reward learning in humans. Scientific Reports (4762). ISSN 2045-2322

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Abstract

Reward learning depends on accurate reward associations with potential choices. These associations can be attained with reinforcement learning mechanisms using a reward prediction error (RPE) signal (the difference between actual and expected rewards) for updating future reward expectations. Despite an extensive body of literature on the influence of RPE on learning, little has been done to
investigate the potentially separate contributions of RPE valence (positive or negative) and surprise (absolute degree of deviation from expectations). Here, we coupled single-trial electroencephalography
with simultaneously acquired fMRI, during a probabilistic reversal-learning task, to offer evidence of temporally overlapping but largely distinct spatial representations of RPE valence and surprise.
Electrophysiological variability in RPE valence correlated with activity in regions of the human reward network promoting approach or avoidance learning. Electrophysiological variability in RPE surprise correlated primarily with activity in regions of the human attentional network controlling the speed
of learning. Crucially, despite the largely separate spatial extend of these representations our EEGinformed fMRI approach uniquely revealed a linear superposition of the two RPE components in a smaller network encompassing visuo-mnemonic and reward areas. Activity in this network was further predictive of stimulus value updating indicating a comparable contribution of both signals to reward learning.

Item Type: Article
Subjects: Q Science > Q Science (General)
Schools: School of Human and Health Sciences
Related URLs:
Depositing User: Christopher Retzler
Date Deposited: 24 May 2017 10:59
Last Modified: 08 Aug 2017 06:51
URI: http://eprints.hud.ac.uk/id/eprint/31972

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