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Dissociable use-dependent processes for volitional goal-directed reaching.


ABSTRACT: Repetition of specific movement biases subsequent actions towards the practiced movement, a phenomenon known as use-dependent learning (UDL). Recent experiments that impose strict constraints on planning time have revealed two sources of use-dependent biases, one arising from dynamic changes occurring during motor planning and another reflecting a stable shift in motor execution. Here, we used a distributional analysis to examine the contribution of these biases in reaching. To create the conditions for UDL, the target appeared at a designated 'frequent' location on most trials, and at one of six 'rare' locations on other trials. Strikingly, the heading angles were bimodally distributed, with peaks at both frequent and rare target locations. Despite having no constraints on planning time, participants exhibited a robust bias towards the frequent target when movements were self-initiated quickly, the signature of a planning bias; notably, the peak near the rare target was shifted in the frequently practiced direction, the signature of an execution bias. Furthermore, these execution biases were not only replicated in a delayed-response task but were also insensitive to reward. Taken together, these results extend our understanding of how volitional movements are influenced by recent experience.

SUBMITTER: Tsay JS 

PROVIDER: S-EPMC9043705 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature

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Dissociable use-dependent processes for volitional goal-directed reaching.

Tsay Jonathan S JS   Kim Hyosub E HE   Saxena Arohi A   Parvin Darius E DE   Verstynen Timothy T   Ivry Richard B RB  

Proceedings. Biological sciences 20220427 1973


Repetition of specific movement biases subsequent actions towards the practiced movement, a phenomenon known as use-dependent learning (UDL). Recent experiments that impose strict constraints on planning time have revealed two sources of use-dependent biases, one arising from dynamic changes occurring during motor planning and another reflecting a stable shift in motor execution. Here, we used a distributional analysis to examine the contribution of these biases in reaching. To create the condit  ...[more]

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