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The "Motor" in Implicit Motor Sequence Learning: A Foot-stepping Serial Reaction Time Task
Published on: May 3, 2018
Dynamic sensorimotor planning during long-term sequence learning: the role of variability, response chunking and
Timothy Verstynen1, Jeff Phillips, Emily Braun
1Learning Research and Development Center, University of Pittsburgh, Pennsylvania, United States of America. timothyv@gmail.com
Plos One
|October 12, 2012
Summary
Long-term skill learning involves binding actions into sequences. This study shows how action planning, response speed, accuracy, and chunking dynamically change over two weeks of practice.
Area of Science:
- Cognitive Neuroscience
- Motor Learning
- Human Motor Control
Background:
- Everyday skills are acquired by integrating discrete actions into sequential responses over extended periods.
- Understanding the dynamics of action planning and response binding during long-term learning is crucial for skill acquisition.
Purpose of the Study:
- To investigate how action planning and response binding dynamics evolve over long timescales (weeks) during skill acquisition.
- To examine the relationship between learning rates for speed, accuracy, and response chunking and underlying planning processes.
Main Methods:
- A bimanual serial reaction time task (32-item sequence) was administered to 23 subjects over 10 days.
- Response times, accuracy, response time variability, and response chunking were measured.
- A state-space model was employed to analyze predictive and error-corrective planning processes.
Main Results:
- Response times and accuracy improved over training, but at different rates.
- Faster learners exhibited increased response time variability early in training, followed by decreased variability.
- Response chunking increased, with responses becoming temporally correlated and asymptoting to approximately 7 bound responses.
- Non-monotonic associations were found between state-space model parameters and learning rates for speed, accuracy, and chunking.
Conclusions:
- Long-term sequence learning involves dynamic modulation of response speed, variability, accuracy, and chunking.
- Different aspects of the response planning process are relevant at distinct stages of long-term skill acquisition.
- These findings provide insights into how the brain binds multiple movements into unified sequences during practice.
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