Literature DB >> 20308202

It was not MY fault: event-related brain potentials in active and observational learning from feedback.

Christian Bellebaum1, Stefan Kobza, Stefan Thiele, Irene Daum.   

Abstract

Performance feedback during learning is accompanied by a negative event-related potentials (ERP) component, the feedback-related negativity (FRN), which codes a reward prediction error. An open issue relates to the coding of feedback stimuli in observational learning. The present study aimed to determine differences in the neural processing of feedback in active and observational learners in a between-subjects design. By choosing between different stimuli, 15 active learners could learn a rule determining the probability of monetary reward. Each of the 15 observers was yoked to the performance of one active learner. In test trials, observers could prove whether they had gained insight into the rule. Although both groups learned at a comparable rate, FRN amplitudes following negative feedback were significantly reduced in observational relative to active learners, whereas there was no difference for the FRN in response to positive feedback. Additionally, between-group differences were already observed in the time window preceding the FRN, between 150 and 220 ms after feedback onset. The processing of feedback stimuli thus depends upon the direct relevance for one's own action planning. The FRN as an error signal indicating the need for behavioral adaptation appears to be especially relevant, if negative feedback is linked to agency.

Mesh:

Year:  2010        PMID: 20308202     DOI: 10.1093/cercor/bhq038

Source DB:  PubMed          Journal:  Cereb Cortex        ISSN: 1047-3211            Impact factor:   5.357


  28 in total

1.  Effects of social context and predictive relevance on action outcome monitoring.

Authors:  Leonie Koban; Gilles Pourtois; Benoit Bediou; Patrik Vuilleumier
Journal:  Cogn Affect Behav Neurosci       Date:  2012-09       Impact factor: 3.282

Review 2.  Learning from experience: event-related potential correlates of reward processing, neural adaptation, and behavioral choice.

Authors:  Matthew M Walsh; John R Anderson
Journal:  Neurosci Biobehav Rev       Date:  2012-06-07       Impact factor: 8.989

3.  The importance of agency in human reward processing.

Authors:  Cameron D Hassall; Greg Hajcak; Olave E Krigolson
Journal:  Cogn Affect Behav Neurosci       Date:  2019-12       Impact factor: 3.282

4.  Does the processing of sensory and reward-prediction errors involve common neural resources? Evidence from a frontocentral negative potential modulated by movement execution errors.

Authors:  Flavie Torrecillos; Philippe Albouy; Thomas Brochier; Nicole Malfait
Journal:  J Neurosci       Date:  2014-04-02       Impact factor: 6.167

5.  Power corrupts co-operation: cognitive and motivational effects in a double EEG paradigm.

Authors:  Riam Kanso; Miles Hewstone; Erin Hawkins; Monika Waszczuk; Anna Christina Nobre
Journal:  Soc Cogn Affect Neurosci       Date:  2012-11-18       Impact factor: 3.436

6.  The role of outcome expectations in the generation of the feedback-related negativity.

Authors:  Andrew W Bismark; Greg Hajcak; Nicole M Whitworth; John J B Allen
Journal:  Psychophysiology       Date:  2012-11-15       Impact factor: 4.016

7.  The mere presence of an outgroup member disrupts the brain's feedback-monitoring system.

Authors:  Nicholas M Hobson; Michael Inzlicht
Journal:  Soc Cogn Affect Neurosci       Date:  2016-06-21       Impact factor: 3.436

8.  Asymmetric coupling of action and outcome valence in active and observational feedback learning.

Authors:  Jutta Peterburs; Alena Frieling; Christian Bellebaum
Journal:  Psychol Res       Date:  2020-04-22

9.  Social learning as a way to overcome choice-induced preferences? Insights from humans and rhesus macaques.

Authors:  Elisabetta Monfardini; Valérie Gaveau; Driss Boussaoud; Fadila Hadj-Bouziane; Martine Meunier
Journal:  Front Neurosci       Date:  2012-09-03       Impact factor: 4.677

10.  Dissociation between active and observational learning from positive and negative feedback in Parkinsonism.

Authors:  Stefan Kobza; Stefano Ferrea; Alfons Schnitzler; Bettina Pollok; Martin Südmeyer; Christian Bellebaum
Journal:  PLoS One       Date:  2012-11-21       Impact factor: 3.240

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