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Automatic, But Not Autonomous: Implicit Adaptation Is Modulated by Goal-Directed Attentional Demands
Joshua Liddy1,2, Sean R O'Bryan2, Alexander Daskalopoulos2
1Department of Kinesiology, University of Massachusetts Amherst, Amherst, Massachusetts 01003 jliddy@umass.edu.
Implicit adaptation, a type of automatic motor learning, is enhanced by concurrent attentional demands. This automatic learning is not autonomous, as it is influenced by physiological states during error processing.
Area of Science:
- Neuroscience
- Motor Control
- Cognitive Psychology
Background:
- Implicit adaptation recalibrates movements via sensory prediction errors.
- It is typically viewed as automatic and independent of cognitive resources.
Purpose of the Study:
- To investigate if implicit adaptation is influenced by attentional demands from a concurrent visual task.
- To determine if automatic motor learning is truly autonomous.
Main Methods:
- Clamped visual feedback was used to measure implicit adaptation during a dual-task paradigm.
- Participants performed a visual monitoring task with varying levels of feedback.
- Model-based analyses examined error sensitivity and retention.
Main Results:
- Concurrent visual tasks enhanced implicit adaptation, especially with response-contingent feedback.
- No correlation between visual task accuracy and adaptation suggests no resource competition.
- Dual-task conditions increased error sensitivity, with individual differences in retention.
Conclusions:
- Implicit adaptation is automatic but not autonomous, being sensitive to physiological states.
- Arousal-mediated modulation of cerebellar processing may explain the observed enhancements.
- Automatic motor learning is shaped by both errors and the context of their experience.
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