The influence of internal models on feedback-related brain activity
Autor: | Benjamin Ernst, Marco Steinhauser, Franz Wurm |
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Rok vydání: | 2020 |
Předmět: |
Adult
Male Brain activity and meditation Feedback Psychological Cognitive Neuroscience Internal model Article 050105 experimental psychology Young Adult 03 medical and health sciences Behavioral Neuroscience 0302 clinical medicine Reward Event-related potential Model-based learning Adaptation Psychological Reinforcement learning Humans 0501 psychology and cognitive sciences Theta Rhythm Predictability Evoked Potentials Model-free learning Neural correlates of consciousness Markov chain Working memory 05 social sciences Event-Related Potentials P300 Time-frequency analysis Delta Rhythm Female Psychology Feedback processing Psychomotor Performance 030217 neurology & neurosurgery Event-related potentials Cognitive psychology |
Zdroj: | Cognitive, affective & behavioral neuroscience, 20, 1070-1089 Cognitive, Affective & Behavioral Neuroscience |
ISSN: | 1531-135X 1530-7026 |
Popis: | 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. |
Databáze: | OpenAIRE |
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