The DOI matches its Crossref record; 112 of the 114 references it cites were found in a registry or an index.
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“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
In the citing paper
“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
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Numerical recipes in C: the art of scientific computing
(1993) · Choice Reviews Online · doi:10.5860/choice.30-5638 · Cited by 17,933
Convergence Properties of the Nelder--Mead Simplex Method in Low Dimensions
Lagarias, J. C., Reeds, J. A., Wright, M. H., & Wright, P. E. (1998) · SIAM Journal on Optimization · doi:10.1137/s1052623496303470 · Cited by 7,449
Separate visual pathways for perception and action
Goodale, M. A., & Milner, A. D. (1992) · Trends in Neurosciences · doi:10.1016/0166-2236(92)90344-8 · Cited by 6,519
The co-ordination and regulation of movements
Bernshteĭn, N. A. (1969) · Brain Research · doi:10.1016/0006-8993(69)90278-9 · Cited by 5,087
Humans integrate visual and haptic information in a statistically optimal fashion
Ernst, M. O., & Banks, M. S. (2002) · Nature · doi:10.1038/415429a · Cited by 4,844
An internal model for sensorimotor integration
Wolpert, D. M., Ghahramani, Z., & Jordan, M. I. (1995) · Science · doi:10.1126/science.7569931 · Cited by 3,553
Optimal feedback control as a theory of motor coordination
Todorov, E., & Jordan, M. I. (2002) · Nature Neuroscience · doi:10.1038/nn963 · Cited by 3,081
Adaptive representation of dynamics during learning of a motor task
Shadmehr, R., & Mussa-Ivaldi, F. (1994) · The Journal of Neuroscience · doi:10.1523/jneurosci.14-05-03208.1994 · Cited by 2,612
Internal models in the cerebellum
Wolpert, D. M., Miall, R. C., & Kawato, M. (1998) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(98)01221-2 · Cited by 2,469
Forward Models for Physiological Motor Control
Miall, R. C., & Wolpert, D. M. (1996) · Neural Networks · doi:10.1016/s0893-6080(96)00035-4 · Cited by 2,260
Research works printed but not linked: 1
- 10.1073/pnas.050350297 · DOI
Cited by
Sorted by citations
Items 301–376 of 376
Internal Representations for the Generalization of Motor Memories
Brayanov, J. B. (2013) · Digital Access to Scholarship at Harvard (DASH) (Harvard University) · Cited by 1
Use-dependent biases primarily originate from a contaminated motor planPreprint
Tsay, J. S., Kim, H. E., Saxena, A., Parvin, D. E., Verstynen, T., & Ivry, R. B. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.10.21.465112 · Cited by 1
Error Related Brain Microstate Analysis during A Complex Surgical Motor TaskPreprint
Walia, P., Fu, Y., Norfleet, J., Schwaitzberg, S. D., Intes, X., De, S., Cavuoto, L. A., & Dutta, A. (2022) · Preprints.org · doi:10.20944/preprints202204.0175.v1 · Cited by 1
Author Response to Macpherson et al
Leech, K. A., Roemmich, R. T., Gordon, J., Reisman, D. S., & Cherry‐Allen, K. M. (2022) · Physical Therapy · doi:10.1093/ptj/pzac084 · Cited by 1
Effects Of Extrinsic Reward Based Skill Learning On Motor PlasticityPreprint
Yadav, G., Vassiliadis, P., Dubuc, C., Hummel, F. C., Derosière, G., & Duqué, J. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.09.10.612238 · Cited by 1
Automatic learning mechanisms for flexible human locomotionPreprint
Rossi, C., Leech, K. A., Roemmich, R. T., & Bastian, A. J. (2024) · eLife · doi:10.7554/elife.101671 · Cited by 1
Levin, M. F., & Smeets, J. B. J. (2025) · Expert Review of Neurotherapeutics · doi:10.1080/14737175.2025.2490535 · Cited by 1
Automatic learning mechanisms for flexible human locomotionPreprint
Rossi, C., Leech, K. A., Roemmich, R. T., & Bastian, A. J. (2025) · eLife · doi:10.7554/elife.101671.2 · Cited by 1
Hornbills Adjust Response Speed According to Solvability of Patterned-Strings ProblemsPreprint
Xue, C., & Garcia‐Pelegrin, E. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.06.25.661464 · Cited by 1
Distinct Implicit Contributions to Action Selection and Action Execution in Sensorimotor AdaptationPreprint
Wang, T., Lam, T., Taylor, J. A., & Ivry, R. B. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.09.12.675892 · Cited by 1
Neuronal mechanisms of the adaptation of conditional visuomotor behavior
Westendorff, S. (2011) · doi:10.53846/goediss-3311
Motor learning during reaching movements : model acquisition and recalibration
Telgen, S. (2015) · UCL Discovery (University College London)
Dissecting Motor Adaptation in Visually Guided Reaching Movements
Wu, H. G. (2012) · Digital Access to Scholarship at Harvard (DASH) (Harvard University)
Scott, T. R. D., & Vare, V. A. (2015) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-015-1255-1
redundancy?reaching paradigm: how do we handle target
Nori, F., Pozzo, T., Hasson, C. J., Shen, T., Sternad, D., Dingwell, J. B., Smallwood, R. F., Cusumano, J. P., Papaxanthis, C., Gaveau, J., et al. (2015)
Report Computer Use Changes Generalization of Movement Learning
Wei, K., Xiang, Y., Kong, G., Yin, C., Zhang, F., Wang, Q., & Kording, K. P. (2014)
Movement dysfunction associated with cerebellar damage
Morton, S. M., & Bastian, A. J. (2013) · Elsevier eBooks · doi:10.1016/b978-0-323-07586-2.00030-3
Optimizing motor memory in healthy adults
Hussain, S. J., Cole, K. J., Darling, W. G., Hazeltine, E., Voss, M., & Frey‐Law, L. (2016) · doi:10.17077/etd.2btexlsz
About sensorimotor learning and the relevance of workspace perception
Wang, L., & Müsseler, J. (2013) · RWTH Publications (RWTH Aachen)
Simulation of variable impedance as an intervention for upper extremity motor exploration
Huang, F. C. (2017) · International Conference on Rehabilitation Robotics · doi:10.1109/icorr.2017.8009309
Joch, M., Jäger, J. M., Maurer, H., Maurer, L. K., & Müller, H. (2017) · Advances in intelligent systems and computing · doi:10.1007/978-3-319-67846-7_3
Rehabilitation Robot and Computational Neuro-rehabilitation
Izawa, J. (2017) · Journal of the Robotics Society of Japan · doi:10.7210/jrsj.35.518
An exploration of the utility of augmented haptic feedback for learning a curve-tracing task
Williams, C. K. (2018) · TSpace (University of Toronto)
Relationship between Motor Generalization and Motor Transfer
Sohani, P. (2018)
When motor control hangs in the balance: Sensorimotor learning during balance-challenging conditions
Bakkum, A. (2021) · Summit (Simon Fraser University)
The role of cerebellum in action acquisition and motor learning
Dagioglou, M. (2014) · University of Birmingham Institutional Research Archive (University of Birmingham)
Acquisition and retention of asymmetric bimanual skills
Park, S. (2013) · Digital Repository Service (Northeastern University) · doi:10.17760/d20004868
Assessing and enhancing complex skill learning with virtual environments
Huber, M. E. (2016) · Digital Repository Service (Northeastern University) · doi:10.17760/d20213806
Intrinsic and extrinsic noise in motor skill acquisition
Zhang, Z. (2018) · Digital Repository Service (Northeastern University) · doi:10.17760/d20316412
Park, S. H., Lin, J., Dee, W., Keefer, R., Rymer, W. Z., & Wu, M. (2022) · Experimental Brain Research · doi:10.1007/s00221-022-06507-3
Kurtz-David, V., Madar, A., Hakim, A., Palmon, N., & Levy, D. J. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.12.20.521216
Modchalingam, S., Ayala, M. N., & Henriques, D. Y. P. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.04.27.538583
Updating of Implicit Adaptation Processes through Erroneous Numeric Feedback
Larssen, B. C., & Hodges, N. J. (2023) · Journal of Motor Behavior · doi:10.1080/00222895.2023.2232739
Signal-Dependent Noise Reduces Task Interference in Motor Learning: A Computational ModelPreprint
Feng, D. W., Reinkensmeyer, D. J., & Perez-Ibarra, J. C. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4641407
Implicit motor adaptation patterns in a redundant motor task manipulating a stick with both handsPreprint
Kobayashi, T., & Nozaki, D. (2024) · eLife · doi:10.7554/elife.96665.1
Uncovering locomotor learning dynamics in people with Parkinson’s disease
Kim, A., Schweighofer, N., Petzinger, G. M., & Finley, J. M. (2025) · PLoS ONE · doi:10.1101/2024.10.17.618863
Hegele, M., & Sülzenbrück, S. (2024) · Springer eBooks · doi:10.1007/978-3-662-68476-4_20
Implicit motor adaptation patterns in a redundant motor task manipulating a stick with both handsPreprint
Kobayashi, T., & Nozaki, D. (2024) · eLife · doi:10.7554/elife.96665.2
Long-term development of a motor memoryPreprint
Franklin, D. W., Nietschmann, P., Papadopoulou, T., & Franklin, S. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.02.22.639647
A context-free model of savings in motor learning
Shahbazi, M., Codol, O., Michaels, J. A., & Gribble, P. L. (2026) · eLife · doi:10.7554/elife.107423.3
Motor sequence learning elicits mu peak-specific corticospinal plasticity
Suresh, T., Iwane, F., Zhang, M., McElmurry, M., Manesiya, M., Freedberg, M., & Hussain, S. J. (2025) · Journal of Neurophysiology · doi:10.1152/jn.00579.2024 · Cited by 1
Indirect feedback hinders explicit sensorimotor adaptation
Chen, Y. P., Abram, S. J., Ivry, R. B., & Tsay, J. S. (2025) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2025.1407 · Cited by 2
A context-free model of savings in motor learningPreprint
Shahbazi, M., Codol, O., Michaels, J. A., & Gribble, P. L. (2025) · eLife · doi:10.7554/elife.107423
A Context-Free Model of Savings in Motor LearningPreprint
Shahbazi, M., Codol, O., Michaels, J. A., & Gribble, P. L. (2025) · eLife · doi:10.7554/elife.107423.1
Kiani, K., & Fu, Q. (2025) · Journal of Neurophysiology · doi:10.1152/jn.00194.2025
Advancing Stroke Recovery Through Operant Conditioning of Corticomuscular Coherence
Mark, J. I., Cunningham, D. A., & Cassidy, J. M. (2025) · Restorative Neurology and Neuroscience · doi:10.1177/09226028251379344 · Cited by 1
Murai, R., & Nozaki, D. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.11.05.686889
The effect of an acute bout of exercise on implicit sensorimotor adaptation
Beyraghi, Z., Arsenault-Lévesque, L., Desrosiers, J., Lepage, J., & Bernier, P. (2025) · Physiology & Behavior · doi:10.1016/j.physbeh.2025.115192
The role of feedback for sensorimotor decisions under risk
Wolf, C., Belopolsky, A. V., & Lappe, M. (2026) · Journal of Vision · doi:10.1167/jov.26.1.13
Inverse hysteresis effects in a real and virtual environment
Schütz, C. (2026) · Frontiers in Sports and Active Living · doi:10.3389/fspor.2026.1734971
Zhu, T., Syan, R., Vejandla, S., Gallivan, J. P., Wolpert, D. M., & Flanagan, J. R. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.03.02.709046
Use-dependent learning biases the initial state but not the learning dynamics of implicit adaptation
Luo, Y., & Wei, K. (2026) · Experimental Brain Research · doi:10.1007/s00221-026-07268-z
Torrecillos, F. (2016) · theses.fr (ABES) · doi:10.70675/aa66f432z8f86z4821za5e2z30e11c35f2a4
Ruffino, C. (2017) · theses.fr (ABES) · doi:10.70675/afad887aza27fz405eza2efz7ec730dd4576
Les effets du sommeil, du passage du temps et de l'activité sur l'apprentissage moteur
Truong, C. (2023) · theses.fr (ABES) · doi:10.70675/7f7b52d0z6f50z49b4zbe28z59fcc37f6bb1
Feng, D. W., Reinkensmeyer, D. J., & Perez-Ibarra, J. C. (2026) · Neural Computation · doi:10.1162/neco.a.1512
The Generative Posture Framework: A Unified Account of Postural Generation, Persistence, and ChangePreprint
Miller, S. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6577078
Reward and punishment differentially shape basketball free-throw learningPreprint
Papaxanthis, C., Crognier, L., Pibarot, E., Gaveau, J., Ruffino, C., & Vassiliadis, P. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.04.28.721312
The contribution of explicit processes to reinforcement-based motor learningPreprint
Brum, G. L., Codol, O., & Holland, P. J. (2018) · OSF Preprints (OSF Preprints)
On the impact of tactile processing on motor cortex: how touch shapes motor behaviour
Zafarana, A., Muret, D., Farnè, A., & Tamè, L. (2026) · Brain Structure and Function · doi:10.1007/s00429-026-03128-2 · Cited by 1
Human Steering Control Under Unpredictable Disturbances
Liu, J.-Y., Cooke, J. R. H., Selen, L. P. J., & Medendorp, W. P. (2026) · European Journal of Neuroscience · doi:10.1111/ejn.70605
Al-Fawakhiri, N., Chib, V. S., & McDougle, S. D. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.06.22.733849 · Cited by 1
Park, H., Lee, B.-C., Sayenko, D. G., Li, S., & Park, S. H. (2026) · Experimental Brain Research · doi:10.1007/s00221-026-07345-3
Schütz, C., & Weigelt, M. (2026) · Human Movement Science · doi:10.1016/j.humov.2026.103520
Wang, T., & Whitney, D. C. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.07.29.741609
Error-Driven Learning in Human Action Control: A Computational Cognitive ModelPreprint
Heinrich, N. W., Österdiekhoff, A., Stuwe, M., Kopp, S., & Rußwinkel, N. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.7366888
Nardi, F., Arora, A., Faisal, A. A., & Haar, S. (2026) · iScience · doi:10.1016/j.isci.2026.117523
Mangalam, M., & Stergiou, N. (2026) · Experimental Brain Research · doi:10.1007/s00221-026-07404-9
Implicit sensorimotor adaptation comprises distinct mechanisms for action selection and execution
Wang, T., Lam, T., Taylor, J. A., & Ivry, R. B. (2026) · PLoS Biology · doi:10.1371/journal.pbio.3004057 · Cited by 1
Hussain, S. J., & Cole, K. (2015) · Data Archiving and Networked Services (DANS) · doi:10.5061/dryad.j91v7.1
Ashworth-Beaumont, J. (2012) · Brunel University Research Archive (BURA) (Brunel University London)
Uncertainty, generalization, and neural representation of relevant variables for decision making
Fernandes, H. L. (2013) · Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)
Metadata
- 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 ›
Are you an author, or do you see a problem with this page? Request a review