The influence of internal models on feedback-related brain activity.

Decision making relies on the interplay between two distinct learning mechanisms, namely habitual model-free learning and goal-directed model-based learning. Recent literature suggests that this interplay is significantly shaped by the environmental structure as represented by an internal model. We...

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Publicado en:Cognitive, Affective & Behavioral Neuroscience Vol. 20; no. 5; pp. 1070 - 1090
Autores principales: Wurm, Franz, Ernst, Benjamin, Steinhauser, Marco
Formato: Journal Article
Publicado: Springer Nature Oct2020
Acceso en línea:Ver este registro en EBSCOhost
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      pub: Springer Nature
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          Wurm, Franz
          Ernst, Benjamin
          Steinhauser, Marco
        affil: Catholic University of Eichstätt-Ingolstadt, Ostenstraße 27, 85072, Eichstätt, Germany
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      ab: Decision making relies on the interplay between two distinct learning mechanisms, namely habitual model-free learning and goal-directed model-based learning. Recent literature suggests that this interplay is significantly shaped by the environmental structure as represented by an internal model. We employed a modified two-stage but one-decision Markov decision task to investigate how two internal models differing in the predictability of stage transitions influence the neural correlates of feedback processing. Our results demonstrate that fronto-central theta and the feedback-related negativity (FRN), two correlates of reward prediction errors in the medial frontal cortex, are independent of the internal representations of the environmental structure. In contrast, centro-parietal delta and the P3, two correlates possibly reflecting feedback evaluation in working memory, were highly susceptible to the underlying internal model. Model-based analyses of single-trial activity showed a comparable pattern, indicating that while the computation of unsigned reward prediction errors is represented by theta and the FRN irrespective of the internal models, the P3 adapts to the internal representation of an environment. Our findings further substantiate the assumption that the feedback-locked components under investigation reflect distinct mechanisms of feedback processing and that different internal models selectively influence these mechanisms.
      pubtype: Academic Journal
      doctype: Journal Article
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    language: English
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