Use-dependent and error-based learning of motor behaviors
Open accessAbstract
Human motor behavior is constantly adapted through the process of error-based learning. When the motor system encounters an error, its estimate about the body and environment will change, and the next movement will be immediately modified to counteract the underlying perturbation. Here, we show that a second mechanism, use-dependent learning, simultaneously changes movements to become more similar to the last movement. In three experiments, participants made reaching movements toward a horizontally elongated target, such that errors in the initial movement direction did not have to be corrected. Along this task-redundant dimension, we were able to induce use-dependent learning by passively guiding movements in a direction angled by 8 degrees from the previous direction. In a second study, we show that error-based and use-dependent learning can change motor behavior simultaneously in opposing directions by physically constraining the direction of active movements. After removal of the constraint, participants briefly exhibit an error-based aftereffect against the direction of the constraint, followed by a longer-lasting use-dependent aftereffect in the direction of the constraint. In the third experiment, we show that these two learning mechanisms together determine the solution the motor system adopts when learning a motor task.
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Biases can be observed in parallel with acquisition of an internal model along the task-irrelevant dimension in a redundant task.
“More recently it has been shown that biases can be observed in parallel with acquisition of an internal model along the task-irrelevant dimension in a redundant task (Diedrichsen et al., 2010).”
From Rethinking motor learning and savings in adaptation paradigms: model-free memory for successful actions combines with internal models (2011) · cites this paper as Diedrichsen et al., 2010
Force-field adaptation occurs at the same rate with or without concomitant use-dependent learning.
“Diedrichsen and colleagues also showed that force-field adaptation occurs at the same rate with or without concomitant use-dependent learning (Diedrichsen et al., 2010).”
From Rethinking motor learning and savings in adaptation paradigms: model-free memory for successful actions combines with internal models (2011) · cites this paper as Diedrichsen et al., 2010
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- Authors
- Diedrichsen, J., White, O., Newman, D., & Lally, N.
- Affiliations
- University College London (GB)
- Bangor University (GB)
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2010-04-14
- Volume
- 30
- Issue
- 15
- Pages
- 5159-5166
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC6632748
- OpenAlex
- W1983737463
- Cited by
- 376
- References
- 114
- Citations by year
- 2026: 22 · 2025: 28 · 2024: 22 · 2023: 22 · 2022: 21 · 2021: 19 · 2020: 23 · 2019: 18 · 2018: 28 · 2017: 33 · 2016: 29 · 2015: 28 · 2014: 18 · 2013: 28 · 2012: 19
- FWCI
- 12.61
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- HAL (submittedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- National Science Foundation (0726685)
- Directorate for Biological Sciences
- Biotechnology and Biological Sciences Research Council (BB/E009174/1)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Tactile and Sensory Interactions
- Keywords
- error-based learning, motor adaptation, reaching movements, movement direction, motor redundancy
- MeSH terms
- Adult, Female, Hand, Humans, Learning, Male, Motor Activity, Practice, Psychological, Feedback, Psychological, Young Adult
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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