Behavioural variability and cortical electrophysiological signals depend on recent outcomes during human reinforcement motor learning

Research output: Working paperPreprintResearch

Standard

Behavioural variability and cortical electrophysiological signals depend on recent outcomes during human reinforcement motor learning. / Wiegel, Patrick; Spedden, Meaghan Elizabeth; Ramsenthaler, Christina; Beck, Mikkel Malling; Lundbye-Jensen, Jesper.

2021.

Research output: Working paperPreprintResearch

Harvard

Wiegel, P, Spedden, ME, Ramsenthaler, C, Beck, MM & Lundbye-Jensen, J 2021 'Behavioural variability and cortical electrophysiological signals depend on recent outcomes during human reinforcement motor learning'. https://doi.org/10.1101/2021.04.29.441455

APA

Wiegel, P., Spedden, M. E., Ramsenthaler, C., Beck, M. M., & Lundbye-Jensen, J. (2021). Behavioural variability and cortical electrophysiological signals depend on recent outcomes during human reinforcement motor learning. bioRxiv https://doi.org/10.1101/2021.04.29.441455

Vancouver

Wiegel P, Spedden ME, Ramsenthaler C, Beck MM, Lundbye-Jensen J. Behavioural variability and cortical electrophysiological signals depend on recent outcomes during human reinforcement motor learning. 2021 Apr 29. https://doi.org/10.1101/2021.04.29.441455

Author

Wiegel, Patrick ; Spedden, Meaghan Elizabeth ; Ramsenthaler, Christina ; Beck, Mikkel Malling ; Lundbye-Jensen, Jesper. / Behavioural variability and cortical electrophysiological signals depend on recent outcomes during human reinforcement motor learning. 2021. (bioRxiv).

Bibtex

@techreport{76140c982dbf444ebcb73ddacb4d76d5,
title = "Behavioural variability and cortical electrophysiological signals depend on recent outcomes during human reinforcement motor learning",
abstract = "The history of our actions and the outcomes of these represent important information, which can inform choices, and efficiently guide future behaviour. While unsuccessful (S-) outcomes are expected to lead to more explorative motor states and increased behavioural variability, successful (S+) outcomes lead to reinforcement of the previous action and thus exploitation. Here, we show that during reinforcement motor learning, humans attribute different values to previous actions when they experience S- vs. S+ outcomes. Behavioural variability after S- outcomes is influenced more by the previousoutcomes compared to what is observed after S+ outcomes. Using electroencephalography, we show that neural oscillations of the prefrontal cortexencode the level of reinforcement (high beta frequencies) and reflect the detection of reward prediction errors (theta frequencies). The results suggest that S+ experiences {\textquoteleft}overwrite{\textquoteright} previous motor states to a greater extent than S- experiences and that modulations in neural oscillations in the prefrontal cortex play a potential role in encoding the (changes in) movement variability state during reinforcement motor learning.",
keywords = "Faculty of Science, Reinforcement, Motor learning, Prefrontal cortex, Variability, Neural oscillations, Exploration, Exploitation",
author = "Patrick Wiegel and Spedden, {Meaghan Elizabeth} and Christina Ramsenthaler and Beck, {Mikkel Malling} and Jesper Lundbye-Jensen",
note = "bioRxiv preprint posted April 29, 2021.",
year = "2021",
month = apr,
day = "29",
doi = "10.1101/2021.04.29.441455",
language = "English",
series = "bioRxiv",
type = "WorkingPaper",

}

RIS

TY - UNPB

T1 - Behavioural variability and cortical electrophysiological signals depend on recent outcomes during human reinforcement motor learning

AU - Wiegel, Patrick

AU - Spedden, Meaghan Elizabeth

AU - Ramsenthaler, Christina

AU - Beck, Mikkel Malling

AU - Lundbye-Jensen, Jesper

N1 - bioRxiv preprint posted April 29, 2021.

PY - 2021/4/29

Y1 - 2021/4/29

N2 - The history of our actions and the outcomes of these represent important information, which can inform choices, and efficiently guide future behaviour. While unsuccessful (S-) outcomes are expected to lead to more explorative motor states and increased behavioural variability, successful (S+) outcomes lead to reinforcement of the previous action and thus exploitation. Here, we show that during reinforcement motor learning, humans attribute different values to previous actions when they experience S- vs. S+ outcomes. Behavioural variability after S- outcomes is influenced more by the previousoutcomes compared to what is observed after S+ outcomes. Using electroencephalography, we show that neural oscillations of the prefrontal cortexencode the level of reinforcement (high beta frequencies) and reflect the detection of reward prediction errors (theta frequencies). The results suggest that S+ experiences ‘overwrite’ previous motor states to a greater extent than S- experiences and that modulations in neural oscillations in the prefrontal cortex play a potential role in encoding the (changes in) movement variability state during reinforcement motor learning.

AB - The history of our actions and the outcomes of these represent important information, which can inform choices, and efficiently guide future behaviour. While unsuccessful (S-) outcomes are expected to lead to more explorative motor states and increased behavioural variability, successful (S+) outcomes lead to reinforcement of the previous action and thus exploitation. Here, we show that during reinforcement motor learning, humans attribute different values to previous actions when they experience S- vs. S+ outcomes. Behavioural variability after S- outcomes is influenced more by the previousoutcomes compared to what is observed after S+ outcomes. Using electroencephalography, we show that neural oscillations of the prefrontal cortexencode the level of reinforcement (high beta frequencies) and reflect the detection of reward prediction errors (theta frequencies). The results suggest that S+ experiences ‘overwrite’ previous motor states to a greater extent than S- experiences and that modulations in neural oscillations in the prefrontal cortex play a potential role in encoding the (changes in) movement variability state during reinforcement motor learning.

KW - Faculty of Science

KW - Reinforcement

KW - Motor learning

KW - Prefrontal cortex

KW - Variability

KW - Neural oscillations

KW - Exploration

KW - Exploitation

U2 - 10.1101/2021.04.29.441455

DO - 10.1101/2021.04.29.441455

M3 - Preprint

T3 - bioRxiv

BT - Behavioural variability and cortical electrophysiological signals depend on recent outcomes during human reinforcement motor learning

ER -

ID: 304058522