ArticlePLoS computational biology2020
Timescales of motor memory formation in dual-adaptation.
Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed.
- Implicit sensorimotor adaptation comprises distinct mechanisms for action selection and execution.PLoS biology · 2026Article
- Kernels of Motor Memory Formation: Temporal Generalization in Bimanual Adaptation.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Learning context shapes bimanual control strategy and generalization of novel dynamics.PLoS computational biology · 2023Article
- Contextual inference in learning and memory.Trends in cognitive sciences · 2023Review
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- Random Practice Enhances Retention and Spatial Transfer in Force Field Adaptation.Frontiers in human neuroscience · 2022Article
- Most favorable stimulation duration in the sensorimotor cortex for fNIRS-based BCI.Biomedical optics express · 2021Article
- Assessing explicit strategies in force field adaptation.Journal of neurophysiology · 2020Article
- Article
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2 authors.
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Abstract
The timescales of adaptation to novel dynamics are well explained by a dual-rate model with slow and fast states. This model can predict interference, savings and spontaneous recovery, but cannot account for adaptation to multiple tasks, as each new task drives unlearning of the previously learned task. Nevertheless, in the presence of appropriate contextual cues, humans are able to adapt simultaneously to opposing dynamics. Consequently this model was expanded, suggesting that dual-adaptation occurs through a single fast process and multiple slow processes. However, such a model does not predict spontaneous recovery within dual-adaptation. Here we assess the existence of multiple fast processes by examining the presence of spontaneous recovery in two experimental variations of an adaptation-de-adaptation-error-clamp paradigm within dual-task adaptation in humans. In both experiments, evidence for spontaneous recovery towards the initially learned dynamics (A) was found in the error-clamp phase, invalidating the one-fast-two-slow dual-rate model. However, as adaptation is not only constrained to two timescales, we fit twelve multi-rate models to the experimental data. BIC model comparison again supported the existence of two fast processes, but extended the timescales to include a third rate: the ultraslow process. Even within our single day experiment, we found little evidence for decay of the learned memory over several hundred error-clamp trials. Overall, we show that dual-adaptation can be best explained by a two-fast-triple-rate model over the timescales of adaptation studied here. Longer term learning may require even slower timescales, explaining why we never forget how to ride a bicycle.
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