Behavioural variability and cortical electrophysiological signals depend on recent outcomes during human reinforcement motor learning
Publikation: Working paper › Preprint › Forskning
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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.Publikation: Working paper › Preprint › Forskning
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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