Sequence Structure Has a Differential Effect on Underlying Motor Learning Processes
Autor: | Shikha Prashad, Jane E. Clark, Yue Du |
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Rok vydání: | 2021 |
Předmět: |
Cognitive Neuroscience
05 social sciences Biophysics Experimental and Cognitive Psychology 050105 experimental psychology 03 medical and health sciences 0302 clinical medicine 0501 psychology and cognitive sciences Orthopedics and Sports Medicine Motor learning Psychology Sequence structure Neuroscience 030217 neurology & neurosurgery Differential (mathematics) |
Zdroj: | Journal of Motor Learning and Development. 9:38-57 |
ISSN: | 2325-3215 2325-3193 |
Popis: | Current methods to understand implicit motor sequence learning inadequately assess motor skill acquisition in daily life. Using fixed sequences in the serial reaction time task is not ideal as participants may become aware of the sequence, thereby changing the learning from implicit to explicit. Probabilistic sequences, in which stimuli are linked by statistical, rather than deterministic, associations can ensure that learning remains implicit. Additionally, the processes underlying the learning of motor sequences may differ based on sequence structure. Here, the authors compared the learning of fixed and probabilistic sequences to randomly ordered stimuli using a modified serial reaction time task. Both the fixed and probabilistic sequence groups exhibited learning as indicated by decreased response time and variability. In the initial stage of learning, fixed sequences exhibited both online and offline gains in response time; however, only the offline gain was observed during the learning of probabilistic sequences. These results indicated that probabilistic structures may be learned differently from fixed structures and have important implications for our current understanding of motor learning. Probabilistic sequences more accurately reflect motor skill acquisition in daily life, offer ecological validity to the serial reaction time framework, and advance our understanding of motor learning. |
Databáze: | OpenAIRE |
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