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Updated: Dec 29, 2025

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Published on: June 5, 2016
Increased error-correction leads to both higher levels of variability and adaptation
Elisabeth B Knelange1, Joan López-Moliner1
1Department of Cognition, Development and Psychology of Education, Vision and Control of Action (VISCA) Group, Institut de Neurociències, Universitat de Barcelona, Barcelona, Catalonia, Spain.
Higher hand-movement speed variability during baseline trials predicts better adaptation to temporal perturbations in interception tasks. This suggests increased variability aids in refining movement predictions for future interceptions.
Area of Science:
- Neuroscience
- Motor Control
- Human-Computer Interaction
Background:
- Accurate interception of moving objects requires predicting spatiotemporal motion features.
- Adaptation to errors refines future predictions, enhancing interception performance.
- Task-relevant variability may facilitate adaptation by promoting exploration of task demands.
Purpose of the Study:
- To investigate if baseline hand-movement speed variability predicts adaptation to temporal perturbations in an interception task.
- To explore the relationship between movement variability and temporal adaptation in motor control.
Main Methods:
- 17 participants performed a hand-eye interception task on a graphic tablet.
- A temporal delay perturbation was introduced to the cursor representing hand movement.
- Baseline movement velocity variability and adaptation to the delay were measured.
Main Results:
- Higher variability in baseline hand-movement speed was a significant predictor of better temporal adaptation.
- Participants adapted to a 100 ms temporal delay, improving interception accuracy.
- Cross-correlation analysis indicated variability stemmed from error correction, not exploration.
Conclusions:
- Baseline movement variability is a key factor in adapting to temporal challenges during interception.
- The findings suggest that increased variability may reflect enhanced error-monitoring and correction mechanisms.
- This research contributes to understanding the neural underpinnings of motor adaptation and predictive control.
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