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Journal ArticleDOI

The good, the bad, or the useful? the examination of the relationship between the feedback-related negativity frn and long-term learning outcomes

TLDR
A study designed to examine the extent to which the ERN is related to learning outcomes within a paired-associates learning task found another ERP component that follows the FRN temporally and shares its spatial distribution was found associated with long-term learning outcomes.
Abstract
According to the reinforcement learning account of the error-related negativity ERN, the ERN is a manifestation of a signal generated in ACC as a consequence of a phasic decrease in the activity of the mesencephalic dopamine system occurring when the monitoring system evaluates events as worse than expected. This signal is also hypothesized to be used to modify behavior to ascertain that future events will have better outcomes. It is therefore expected that this signal be correlated with learning outcomes. We report a study designed to examine the extent to which the ERN is related to learning outcomes within a paired-associates learning task. The feedback-related negativity FRN elicited by stimuli that indicated to the participants whether their response was correct or not was examined both according the degree to which the associates were learned in the session and according to whether participants recalled the associations on the next day. The results of the spatio-temporal PCA indicate that, whereas the process giving rise to the negative feedback elicited a FRN whose amplitude was not correlated with long-term learning outcomes, positive feedback was associated with a FRN-like activity, which was correlated with the learning outcomes. Another ERP component that follows the FRN temporally and shares its spatial distribution was found associated with long-term learning outcomes. Our findings shed light on the functional significance of the feedback-related ERP components and are discussed within the framework of the reinforcement learning ERN hypothesis.

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Citations
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Journal ArticleDOI

Feedback-related negativity codes prediction error but not behavioral adjustment during probabilistic reversal learning

TL;DR: Electrophysiological activity over the medial frontal cortex during outcome-based behavioral adjustment using a probabilistic reversal learning task suggests that the FRN reflects prediction error and associated RL-based adjustment of decision values, whereas the P3 reflects adjustment of behavior on the basis of explicit rules.
Journal ArticleDOI

The research domain criteria framework: The case for anterior cingulate cortex

TL;DR: It is argued that ACC function contributes to individual differences in personality traits related to reward sensitivity and persistence, and it is proposed that the maladaptive expression of these traits contributes to multiple mental and neurological disorders.
Journal ArticleDOI

Learning from feedback: the neural mechanisms of feedback processing facilitating better performance.

TL;DR: The EEG correlates of feedback processing for learning using various analytical approaches are discussed, including ERPs, oscillations and inter-site synchronization, highlighting the gaps in the literature and suggesting future directions for understanding the neural underpinnings of learning from feedback.
Journal ArticleDOI

Why self-controlled feedback enhances motor learning: Answers from electroencephalography and indices of motivation.

TL;DR: Self-controlled feedback schedules enhance feedback processing, which enhances the transfer of a newly acquired motor skill, relative to learners who do not control their feedback.
Journal ArticleDOI

The better, the bigger: The effect of graded positive performance feedback on the reward positivity.

TL;DR: Analysis of the effect of graded correct-related performance feedback on the reward positivity of the event-related brain potential (ERP) confirms predictions of reinforcement learning theory and extends previous findings on reward magnitude to the area of complex, goal directed skill acquisition.
References
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Journal ArticleDOI

A new method for off-line removal of ocular artifact.

TL;DR: EMCP permits retention of all trials in an ERP experiment, irrespective of ocular artifact, and has the advantage that separate correction factors are computed for blinks and movements and that these factors are based on data from the experimental session itself rather than from a separate calibration session.
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The neural basis of human error processing: Reinforcement learning, dopamine, and the error-related negativity.

TL;DR: This paper presented a unified account of two neural systems concerned with the development and expression of adaptive behaviors: a mesencephalic dopamine system for reinforcement learning and a generic error-processing system associated with the anterior cingulate cortex.
Journal ArticleDOI

Anterior cingulate cortex, error detection, and the online monitoring of performance

TL;DR: Results confirm that this region shows activity during erroneous responses, but activity was also observed in the same region during correct responses under conditions of increased response competition, which suggests that the ACC detects conditions under which errors are likely to occur rather than errors themselves.
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A Neural System for Error Detection and Compensation

TL;DR: Analysis of the human event-related brain potentials (ERPs) accompanying errors provides evidence for a neural process whose activity is specifically associated with monitoring and compensating for erroneous behavior.
Journal ArticleDOI

The medial frontal cortex and the rapid processing of monetary gains and losses

TL;DR: It follows that medial-frontal computations may contribute to mental states that participate in higher level decisions, including economic choices, after outcome stimuli that inform human participants about gains and losses in a gambling task.
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