The Importance of Failure: Feedback-Related Negativity Predicts Motor Learning Efficiency.

J. van der Helden, Maarten A.S. Boksem, J.H.G. Blom

    Research output: Contribution to journalArticleAcademicpeer-review

    73 Citations (Scopus)

    Abstract

    Learning from past mistakes is of prominent importance for successful future behavior. In the present study, we tested whether reinforcement learning signals in the brain are predictive of adequate learning of a sequence of motor actions. We recorded event-related potentials (ERPs) while subjects engaged in a sequence learning task. The results showed that brain responses to feedback (the feedback-related negativity [FRN]) predicted whether subjects learned to avoid an erroneous response the next time this action had to be performed. Our findings add to a growing literature on feedback-based performance adjustment, by showing that FRN amplitudes may reflect the acquisition of motor skill and the consolidation of contingencies between stimuli or cues and their associated responses, providing evidence that learning efficiency and future performance can be predicted by the neural response to current feedback: FRN amplitude associated with a mistake is predictive of whether this mistake will be repeated, or learned from.
    Original languageEnglish
    Pages (from-to)1596-1603
    JournalCerebral cortex
    Volume20
    Issue number7
    DOIs
    Publication statusPublished - 2009

    Fingerprint

    Learning
    Efficiency
    Social Adjustment
    Motor Skills
    Brain
    Evoked Potentials
    Cues

    Keywords

    • IR-73360
    • METIS-260453

    Cite this

    van der Helden, J. ; Boksem, Maarten A.S. ; Blom, J.H.G. / The Importance of Failure: Feedback-Related Negativity Predicts Motor Learning Efficiency. In: Cerebral cortex. 2009 ; Vol. 20, No. 7. pp. 1596-1603.
    @article{c25a03db59ec4403910ba8cc8b53f632,
    title = "The Importance of Failure: Feedback-Related Negativity Predicts Motor Learning Efficiency.",
    abstract = "Learning from past mistakes is of prominent importance for successful future behavior. In the present study, we tested whether reinforcement learning signals in the brain are predictive of adequate learning of a sequence of motor actions. We recorded event-related potentials (ERPs) while subjects engaged in a sequence learning task. The results showed that brain responses to feedback (the feedback-related negativity [FRN]) predicted whether subjects learned to avoid an erroneous response the next time this action had to be performed. Our findings add to a growing literature on feedback-based performance adjustment, by showing that FRN amplitudes may reflect the acquisition of motor skill and the consolidation of contingencies between stimuli or cues and their associated responses, providing evidence that learning efficiency and future performance can be predicted by the neural response to current feedback: FRN amplitude associated with a mistake is predictive of whether this mistake will be repeated, or learned from.",
    keywords = "IR-73360, METIS-260453",
    author = "{van der Helden}, J. and Boksem, {Maarten A.S.} and J.H.G. Blom",
    year = "2009",
    doi = "10.1093/cercor/bhp224",
    language = "English",
    volume = "20",
    pages = "1596--1603",
    journal = "Cerebral cortex",
    issn = "1047-3211",
    publisher = "Oxford University Press",
    number = "7",

    }

    The Importance of Failure: Feedback-Related Negativity Predicts Motor Learning Efficiency. / van der Helden, J.; Boksem, Maarten A.S.; Blom, J.H.G.

    In: Cerebral cortex, Vol. 20, No. 7, 2009, p. 1596-1603.

    Research output: Contribution to journalArticleAcademicpeer-review

    TY - JOUR

    T1 - The Importance of Failure: Feedback-Related Negativity Predicts Motor Learning Efficiency.

    AU - van der Helden, J.

    AU - Boksem, Maarten A.S.

    AU - Blom, J.H.G.

    PY - 2009

    Y1 - 2009

    N2 - Learning from past mistakes is of prominent importance for successful future behavior. In the present study, we tested whether reinforcement learning signals in the brain are predictive of adequate learning of a sequence of motor actions. We recorded event-related potentials (ERPs) while subjects engaged in a sequence learning task. The results showed that brain responses to feedback (the feedback-related negativity [FRN]) predicted whether subjects learned to avoid an erroneous response the next time this action had to be performed. Our findings add to a growing literature on feedback-based performance adjustment, by showing that FRN amplitudes may reflect the acquisition of motor skill and the consolidation of contingencies between stimuli or cues and their associated responses, providing evidence that learning efficiency and future performance can be predicted by the neural response to current feedback: FRN amplitude associated with a mistake is predictive of whether this mistake will be repeated, or learned from.

    AB - Learning from past mistakes is of prominent importance for successful future behavior. In the present study, we tested whether reinforcement learning signals in the brain are predictive of adequate learning of a sequence of motor actions. We recorded event-related potentials (ERPs) while subjects engaged in a sequence learning task. The results showed that brain responses to feedback (the feedback-related negativity [FRN]) predicted whether subjects learned to avoid an erroneous response the next time this action had to be performed. Our findings add to a growing literature on feedback-based performance adjustment, by showing that FRN amplitudes may reflect the acquisition of motor skill and the consolidation of contingencies between stimuli or cues and their associated responses, providing evidence that learning efficiency and future performance can be predicted by the neural response to current feedback: FRN amplitude associated with a mistake is predictive of whether this mistake will be repeated, or learned from.

    KW - IR-73360

    KW - METIS-260453

    U2 - 10.1093/cercor/bhp224

    DO - 10.1093/cercor/bhp224

    M3 - Article

    VL - 20

    SP - 1596

    EP - 1603

    JO - Cerebral cortex

    JF - Cerebral cortex

    SN - 1047-3211

    IS - 7

    ER -