Cited by 263Motor Control and AdaptationReinforcement Learning in RoboticsMemory and Neural Mechanisms

The DOI matches its Crossref record; 90 of the 91 references it cites were found in a registry or an index.

Model-Based and Model-Free Mechanisms of Human Motor Learning

Open access

Haith, Adrian M., Krakauer, John W.·2013·Advances in Experimental Medicine and Biology

DOI 10.1007/978-1-4614-5465-6_1PMC PMC3570165

Open this paper in CoChat — free account

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

Crossref · 10.1007/978-1-4614-5465-6_1

Cites

90 of 90 references verified0 citation errors · 0 not checkable

Statistics

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.

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Reinforcement Learning: An Introduction
Sutton, R. S., & Barto, A. (2005) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2004.842673 · Cited by 25,268
Untitled work
(1995) · Cited by 10,558
A neural substrate of prediction and reward
Schultz, W., Dayan, P., & Montague, P. R. (1997) · Science · doi:10.1126/science.275.5306.1593 · Cited by 9,388
Memory and the hippocampus: A synthesis from findings with rats, monkeys, and humans.
Squire, L. R. (1992) · Psychological Review · doi:10.1037/0033-295x.99.2.195 · Cited by 5,376
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
Uncertainty-based competition between prefrontal and dorsolateral striatal systems for behavioral control
Daw, N. D., Niv, Y., & Dayan, P. (2005) · Nature Neuroscience · doi:10.1038/nn1560 · Cited by 2,533
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
Reinforcement learning
Barto, A. (1998) · IFAC Proceedings Volumes · doi:10.1016/s1474-6670(17)38315-5 · Cited by 2,172
A framework for mesencephalic dopamine systems based on predictive Hebbian learning
Montague, P., Dayan, P., & Sejnowski, T. (1996) · The Journal of Neuroscience · doi:10.1523/jneurosci.16-05-01936.1996 · Cited by 2,066
By Carrot or by Stick: Cognitive Reinforcement Learning in Parkinsonism
Frank, M. J., Seeberger, L. C., & O'Reilly, R. C. (2004) · Science · doi:10.1126/science.1102941 · Cited by 1,964
Error Correction, Sensory Prediction, and Adaptation in Motor Control
Shadmehr, R., Smith, M. A., & Krakauer, J. W. (2010) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-060909-153135 · Cited by 1,869
Self-citation
Human and Rodent Homologies in Action Control: Corticostriatal Determinants of Goal-Directed and Habitual Action
Balleine, B. W., & O'Doherty, J. P. (2010) · Neuropsychopharmacology · doi:10.1038/npp.2009.131 · Cited by 1,775
Learning to control a brain–machine interface for reaching and grasping by primates
Carmena, J. M., Lebedev, M. A., Crist, R. E., O'Doherty, J. E., Santucci, D. M., Dimitrov, D. F., Patil, P. G., Henriquez, C. S., & Nicolelis, M. A. L. (2003) · PLoS Biology · doi:10.1371/journal.pbio.0000042 · Cited by 1,761
Goal-directed instrumental action: contingency and incentive learning and their cortical substrates
Balleine, B. W., & Dickinson, A. (1998) · Neuropharmacology · doi:10.1016/s0028-3908(98)00033-1 · Cited by 1,541
Forward models: supervised learning with a distal teacher
Jordan, M. I., & Rumelhart, D. E. (1992) · Cognitive Science · doi:10.1207/s15516709cog1603_1 · Cited by 1,451
Noninvasive cortical stimulation enhances motor skill acquisition over multiple days through an effect on consolidation
Reis, J., Schambra, H. M., Cohen, L. G., Buch, E. R., Fritsch, B., Zarahn, E., Celnik, P. A., & Krakauer, J. W. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0805413106 · Cited by 1,401
Self-citation
Principles of sensorimotor learning
Wolpert, D. M., Diedrichsen, J., & Flanagan, J. R. (2011) · Nature Reviews Neuroscience · doi:10.1038/nrn3112 · Cited by 1,391
A computational neuroanatomy for motor control
Shadmehr, R., & Krakauer, J. W. (2008) · Experimental Brain Research · doi:10.1007/s00221-008-1280-5 · Cited by 1,187
Self-citation
States versus Rewards: Dissociable Neural Prediction Error Signals Underlying Model-Based and Model-Free Reinforcement Learning
Gläscher, J., Daw, N., Dayan, P., & O'Doherty, J. P. (2010) · Neuron · doi:10.1016/j.neuron.2010.04.016 · Cited by 1,166
Rapid plasticity of human cortical movement representation induced by practice
Classen, J., Liepert, J., Wise, S. P., Hallett, M., & Cohen, L. G. (1998) · Journal of Neurophysiology · doi:10.1152/jn.1998.79.2.1117 · Cited by 1,156
Learning of action through adaptive combination of motor primitives
Thoroughman, K. A., & Shadmehr, R. (2000) · Nature · doi:10.1038/35037588 · Cited by 945
Sensory prediction errors drive cerebellum-dependent adaptation of reaching
Tseng, Y.-W., Diedrichsen, J., Krakauer, J. W., Shadmehr, R., & Bastian, A. J. (2007) · Journal of Neurophysiology · doi:10.1152/jn.00266.2007 · Cited by 883
Self-citation
Learning of Visuomotor Transformations for Vectorial Planning of Reaching Trajectories
Krakauer, J. W., Pine, Z. M., Ghilardi, M. F., & Ghez, C. P. (2000) · Journal of Neuroscience · doi:10.1523/jneurosci.20-23-08916.2000 · Cited by 874
Self-citation
An implicit plan overrides an explicit strategy during visuomotor adaptation
Mazzoni, P., & Krakauer, J. W. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.5317-05.2006 · Cited by 833
Self-citation
Independent learning of internal models for kinematic and dynamic control of reaching
Krakauer, J. W., Ghilardi, M. F., & Ghez, C. P. (1999) · Nature Neuroscience · doi:10.1038/14826 · Cited by 797
Self-citation
Rapid adaptation to Coriolis force perturbations of arm trajectory
Lackner, J. R., & DiZio, P. A. (1994) · Journal of Neurophysiology · doi:10.1152/jn.1994.72.1.299 · Cited by 776
Dissociating the Roles of the Cerebellum and Motor Cortex during Adaptive Learning: The Motor Cortex Retains What the Cerebellum Learns
Galea, J. M., Vazquez, A., Pasricha, N., Orban de Xivry, J.-J., & Celnik, P. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhq246 · Cited by 760
What are the computations of the cerebellum, the basal ganglia and the cerebral cortex?
Doya, K. (1999) · Neural Networks · doi:10.1016/s0893-6080(99)00046-5 · Cited by 757
Coordination of Actions and Habits in the Medial Prefrontal Cortex of Rats
Killcross, S. (2003) · Cerebral Cortex · doi:10.1093/cercor/13.4.400 · Cited by 748
The Role of Internal Models in Motion Planning and Control: Evidence from Grip Force Adjustments during Movements of Hand-Held Loads
Flanagan, J. R., & Wing, A. M. (1997) · Journal of Neuroscience · doi:10.1523/jneurosci.17-04-01519.1997 · Cited by 698
Learning to predict the future: the cerebellum adapts feedforward movement control
Bastian, A. J. (2006) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2006.08.016 · Cited by 678
A computational model of four regions of the cerebellum based on feedback-error learning
Kawato, M., & Gomi, H. (1992) · Biological Cybernetics · doi:10.1007/bf00201431 · Cited by 633
Throwing while looking through prisms. I. Focal olivocerebellar lesions impair adaptation
Martin, T. A., Keating, J. G., Goodkin, H. P., Bastian, A. J., & Thach, W. T. (1996) · Brain · doi:10.1093/brain/119.4.1183 · Cited by 625
Throwing while looking through prisms: II. Specificity and storage of multiple gaze--throw calibrations
Martin, T. A., Keating, J. G., Goodkin, H. P., Bastian, A. J., & Thach, W. T. (1996) · Brain · doi:10.1093/brain/119.4.1199 · Cited by 585
Learning from Sensory and Reward Prediction Errors during Motor Adaptation
Izawa, J., & Shadmehr, R. (2011) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002012 · Cited by 500
Intact ability to learn internal models of arm dynamics in Huntington's disease but not cerebellar degeneration
Smith, M. A., & Shadmehr, R. (2005) · Journal of Neurophysiology · doi:10.1152/jn.00943.2004 · Cited by 497
Rethinking motor learning and savings in adaptation paradigms: model-free memory for successful actions combines with internal models
Huang, V. S., Haith, A., Mazzoni, P., & Krakauer, J. W. (2011) · Neuron · doi:10.1016/j.neuron.2011.04.012 · Cited by 472
Self-citation
Quantifying Generalization from Trial-by-Trial Behavior of Adaptive Systems that Learn with Basis Functions: Theory and Experiments in Human Motor Control
Donchin, O., Francis, J. T., & Shadmehr, R. (2003) · Journal of Neuroscience · doi:10.1523/jneurosci.23-27-09032.2003 · Cited by 442
How is a motor skill learned? Change and invariance at the levels of task success and trajectory control
Shmuelof, L., Krakauer, J. W., & Mazzoni, P. (2012) · Journal of Neurophysiology · doi:10.1152/jn.00856.2011 · Cited by 432
Self-citation
The Motor System Does Not Learn the Dynamics of the Arm by Rote Memorization of Past Experience
Conditt, M. A., Gandolfo, F., & Mussa-Ivaldi, F. A. (1997) · Journal of Neurophysiology · doi:10.1152/jn.1997.78.1.554 · Cited by 402
Use-dependent and error-based learning of motor behaviors
Diedrichsen, J., White, O., Newman, D., & Lally, N. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.5406-09.2010 · Cited by 376
Forward models in visuomotor control.
Mehta, B., & Schaal, S. (2002) · Journal of Neurophysiology · doi:10.1152/jn.2002.88.2.942 · Cited by 363
Dopaminergic Projections from Midbrain to Primary Motor Cortex Mediate Motor Skill Learning
Hosp, J. A., Pekanovic, A., Rioult-Pedotti, M. S., & Luft, A. R. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.5411-10.2011 · Cited by 354
Flexible Cognitive Strategies during Motor Learning
Taylor, J. A., & Ivry, R. B. (2011) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1001096 · Cited by 352 · cited 4×
“…an implicit internal model in the cerebellum, it is likely that other brain areas such as prefrontal cortex may contribute alternative, explicit task models that may give rise to a form of model-based control that might be considered more strategic (Mazzoni and Krakauer 2006; Taylor and Ivry 2011).”
Influential
Disruption of state estimation in the human lateral cerebellum
Miall, R. C., Christensen, L. O. D., Cain, O., & Stanley, J. (2007) · PLoS Biology · doi:10.1371/journal.pbio.0050316 · Cited by 338
Cerebellar Contributions to Reach Adaptation and Learning Sensory Consequences of Action
Izawa, J., Criscimagna-Hemminger, S. E., & Shadmehr, R. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.6353-11.2012 · Cited by 322
CNS Learns Stable, Accurate, and Efficient Movements Using a Simple Algorithm
Franklin, D. W., Burdet, E., Tee, K. P., Osu, R., Chew, C., Milner, T. E., & Kawato, M. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.3099-08.2008 · Cited by 317
Size of Error Affects Cerebellar Contributions to Motor Learning
Criscimagna-Hemminger, S. E., Bastian, A. J., & Shadmehr, R. (2010) · Journal of Neurophysiology · doi:10.1152/jn.00822.2009 · Cited by 271
Hereditary cerebellar ataxia progressively impairs force adaptation during goal-directed arm movements
Maschke, M., Gomez, C. M., Ebner, T. J., & Konczak, J. (2004) · Journal of Neurophysiology · doi:10.1152/jn.00557.2003 · Cited by 258
Adaptive Control of Saccades via Internal Feedback
Chen‐Harris, H., Joiner, W. M., Ethier, V., Zee, D. S., & Shadmehr, R. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.5300-07.2008 · Cited by 238
How Each Movement Changes the Next: An Experimental and Theoretical Study of Fast Adaptive Priors in Reaching
Verstynen, T., & Sabes, P. N. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.6525-10.2011 · Cited by 227
Adaptation to Visuomotor Rotation and Force Field Perturbation Is Correlated to Different Brain Areas in Patients With Cerebellar Degeneration
Rabe, K., Livne, O., Gizewski, E. R., Aurich, V., Beck, A., Timmann, D., & Donchin, O. (2009) · Journal of Neurophysiology · doi:10.1152/jn.91069.2008 · Cited by 226
Saccadic Gain Modification: Visual Error Drives Motor Adaptation
Wallman, J., & Fuchs, A. F. (1998) · Journal of Neurophysiology · doi:10.1152/jn.1998.80.5.2405 · Cited by 218
The Cerebellum Updates Predictions about the Visual Consequences of One's Behavior
Synofzik, M., Lindner, A., & Thier, P. (2008) · Current Biology · doi:10.1016/j.cub.2008.04.071 · Cited by 214
Optimal Control Theory
Todorov, E. V. (2006) · The MIT Press eBooks · doi:10.7551/mitpress/1535.003.0018 · Cited by 213
Sensory transformations and the use of multiple reference frames for reach planning
McGuire, L. M., & Sabes, P. N. (2009) · Nature Neuroscience · doi:10.1038/nn.2357 · Cited by 207
Cerebellar regions involved in adaptation to force field and visuomotor perturbation
Donchin, O., Rabe, K., Diedrichsen, J., Lally, N., Schoch, B., Gizewski, E. R., & Timmann, D. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00007.2011 · Cited by 205
Shared Internal Models for Feedforward and Feedback Control
Wagner, M. J., & Smith, M. A. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.5479-07.2008 · Cited by 200
An explicit strategy prevails when the cerebellum fails to compute movement errors
Taylor, J. A., Klemfuss, N. M., & Ivry, R. B. (2010) · The Cerebellum · doi:10.1007/s12311-010-0201-x · Cited by 200
Cerebellar contributions to adaptive control of saccades in humans
Xu-Wilson, M., Chen-Harris, H., Zee, D. S., & Shadmehr, R. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.3115-09.2009 · Cited by 190
Force field effects on cerebellar Purkinje cell discharge with implications for internal models
Pasalar, S., Roitman, A. V., Durfee, W. K., & Ebner, T. J. (2006) · Nature Neuroscience · doi:10.1038/nn1783 · Cited by 182
Cerebellar Involvement in Anticipating the Consequences of Self-Produced Actions During Bimanual Movements
Diedrichsen, J., Verstynen, T., Lehman, S. L., & Ivry, R. B. (2004) · Journal of Neurophysiology · doi:10.1152/jn.00662.2004 · Cited by 152
Compensation for loads during arm movements using equilibrium-point control
Gribble, P. L., & Ostry, D. J. (2000) · Experimental Brain Research · doi:10.1007/s002210000547 · Cited by 147
Hand path priming in manual obstacle avoidance: Evidence that the dorsal stream does not only control visually guided actions in real time.
Jax, S. A., & Rosenbaum, D. A. (2007) · Journal of Experimental Psychology: Human Perception and Performance · doi:10.1037/0096-1523.33.2.425 · Cited by 137
A Real-Time State Predictor in Motor Control: Study of Saccadic Eye Movements during Unseen Reaching Movements
Ariff, G. D., Donchin, O., Nanayakkara, T., & Shadmehr, R. (2002) · Journal of Neuroscience · doi:10.1523/jneurosci.22-17-07721.2002 · Cited by 135
Remapping Hand Movements in a Novel Geometrical Environment
Mosier, K. M., Scheidt, R. A., Acosta, S., & Mussa-Ivaldi, F. A. (2005) · Journal of Neurophysiology · doi:10.1152/jn.00380.2005 · Cited by 133
Learning and consolidation of visuo-motor adaptation in Parkinson's disease
Marinelli, L., Crupi, D., Di Rocco, A., Bove, M., Eidelberg, D., Abbruzzese, G., & Ghilardi, M. F. (2009) · Parkinsonism & Related Disorders · doi:10.1016/j.parkreldis.2008.02.012 · Cited by 129
Optimal Control Predicts Human Performance on Objects with Internal Degrees of Freedom
Nagengast, A. J., Braun, D. A., & Wolpert, D. M. (2009) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000419 · Cited by 123
Encoding of Motor Skill in the Corticomuscular System of Musicians
Gentner, R., Gorges, S., Weise, D., Kampe, K. A., Buttmann, M., & Claßen, J. (2010) · Current Biology · doi:10.1016/j.cub.2010.09.045 · Cited by 117
The role of dopamine in cognitive sequence learning: evidence from Parkinson’s disease
Daphna Shohamy, A., Myers, C. E., Grossman, S., Sage, J., & Gluck, M. A. (2004) · Behavioural Brain Research · doi:10.1016/j.bbr.2004.05.023 · Cited by 114
Visual-Shift Adaptation Is Composed of Separable Sensory and Task-Dependent Effects
Simani, M. C., McGuire, L. M., & Sabes, P. N. (2007) · Journal of Neurophysiology · doi:10.1152/jn.00290.2007 · Cited by 113
Internalizing Agency of Self-Action: Perception of One's Own Hand Movements Depends on an Adaptable Prediction About the Sensory Action Outcome
Synofzik, M., Thier, P., & Lindner, A. (2006) · Journal of Neurophysiology · doi:10.1152/jn.00104.2006 · Cited by 109
Position, direction of movement, and speed tuning of cerebellar Purkinje cells during circular manual tracking in monkey
Roitman, A. V., Pasalar, S., Johnson, M. T. V., & Ebner, T. J. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.1886-05.2005 · Cited by 107
Neuromotor Noise, Error Tolerance and Velocity-Dependent Costs in Skilled Performance
Sternad, D., Abe, M., Hu, X., & Müller, H. (2011) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002159 · Cited by 94
Goal-directed control and its antipodes
Dayan, P. (2009) · Neural Networks · doi:10.1016/j.neunet.2009.03.004 · Cited by 93
Basal ganglia-dependent processes in recalling learned visual-motor adaptations
Bédard, P., & Sanes, J. N. (2011) · Experimental Brain Research · doi:10.1007/s00221-011-2561-y · Cited by 91
Ventral striatum: a critical look at models of learning and evaluation
van der Meer, M. A. A., & Redish, A. D. (2011) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2011.02.011 · Cited by 89
Protection and Expression of Human Motor Memories
Pekny, S. E., Criscimagna-Hemminger, S. E., & Shadmehr, R. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.1704-11.2011 · Cited by 85
The multiple roles of Purkinje cells in sensori-motor calibration: to predict, teach and command
Medina, J. F. (2011) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2011.05.025 · Cited by 85
Preserved and impaired aspects of predictive grip force control in cerebellar patients
Rost, K., Nowak, D. A., Timmann, D., & Hermsdörfer, J. (2005) · Clinical Neurophysiology · doi:10.1016/j.clinph.2005.02.015 · Cited by 84
Sensorimotor adaptation error signals are derived from realistic predictions of movement outcomes
Wong, A. L., & Shelhamer, M. (2010) · Journal of Neurophysiology · doi:10.1152/jn.00394.2010 · Cited by 84
Predictive and reactive finger force control during catching in cerebellar degeneration
Nowak, D., Hermsdörfer, J., Rost, K., Timmann, D., & Topka, H. (2004) · The Cerebellum · doi:10.1080/14734220410019057 · Cited by 68
Optimal Sensorimotor Control in Eye Movement Sequences
Munuera, J., Morel, P., Duhamel, J., & Denève, S. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.1169-08.2009 · Cited by 58
Impaired savings despite intact initial learning of motor adaptation in Parkinson’s disease
Leow, L., Loftus, A. M., & Hammond, G. R. (2012) · Experimental Brain Research · doi:10.1007/s00221-012-3060-5 · Cited by 52
Beside the point: motor adaptation without feedback-based error correction in task-irrelevant conditions
Schaefer, S. Y., Shelly, I. L., & Thoroughman, K. A. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00273.2011 · Cited by 50
Evidence for model-based action planning in a sequential finger movement task
Fermin, A., Yoshida, T., Ito, M., Yoshimoto, J., & Doya, K. (2010) · Journal of Motor Behavior · doi:10.1080/00222895.2010.526467 · Cited by 36
Modeling operant behavior in the Parkinsonian rat
Avila, I., Reilly, M. P., Sanabria, F., Posadas-Sánchez, D., Chavez, C. L., Banerjee, N., Killeen, P., & Castañeda, E. (2009) · Behavioural Brain Research · doi:10.1016/j.bbr.2008.11.033 · Cited by 35
Quickly “learning” to move optimally
Brenner, E., & Smeets, J. B. J. (2011) · Experimental Brain Research · doi:10.1007/s00221-011-2786-9 · Cited by 32

Sorted by citations

The Role of Variability in Motor Learning
Dhawale, A. K., Smith, M. A., & Ölveczky, B. P. (2017) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-072116-031548 · Cited by 545
Consensus Paper: Towards a Systems-Level View of Cerebellar Function: the Interplay Between Cerebellum, Basal Ganglia, and Cortex
Caligiore, D., Pezzulo, G., Baldassarre, G., Bostan, A. C., Strick, P. L., Doya, K., Helmich, R. C. G., Dirkx, M. F., Houk, J. C., Jörntell, H., et al. (2016) · The Cerebellum · doi:10.1007/s12311-016-0763-3 · Cited by 454
The dissociable effects of punishment and reward on motor learning
Galea, J. M., Mallia, E., Rothwell, J. C., & Diedrichsen, J. (2015) · Nature Neuroscience · doi:10.1038/nn.3956 · Cited by 382
Motor imagery involves predicting the sensory consequences of the imagined movement
Kilteni, K., Andersson, B. J., Houborg, C., & Ehrsson, H. H. (2018) · Nature Communications · doi:10.1038/s41467-018-03989-0 · Cited by 310
Brain–machine interfaces from motor to mood
Shanechi, M. M. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0488-y · Cited by 263

See all 263

Authors: Haith, A. M., & Krakauer, J. W.
Affiliations: Johns Hopkins University (US)
Corresponding author: Haith, Adrian M.
ORCID: Haith, Adrian M.
Krakauer, John W.
Venue: Advances in Experimental Medicine and Biology
Publisher: Springer New York
Published: 2013
Volume: 782
Pages: 1-21
ISSN: 0065-2598 (ISSN-L)
DOI: 10.1007/978-1-4614-5465-6_1
PMC: PMC3570165
OpenAlex: W2181409883
Cited by: 263
References: 91
Citations by year: 2026: 19 · 2025: 22 · 2024: 14 · 2023: 20 · 2022: 25 · 2021: 28 · 2020: 27 · 2019: 18 · 2018: 19 · 2017: 19 · 2016: 18 · 2015: 18 · 2014: 13 · 2013: 3
FWCI: 42.30
Type: book chapter
Language: en
Open access: green
europepmc.org
Licence: www.springernature.com/gp/researchers/text-and-data-mining (tdm)
www.springernature.com/gp/researchers/text-and-data-mining (vor)
Locations: Advances in experimental medicine and biology (publishedVersion)
PubMed (publishedVersion)
Europe PMC (PubMed Central) (acceptedVersion)
PubMed Central (acceptedVersion)
Funders: National Institutes of Health (7r01ns052804-05)
National Institute of Neurological Disorders and Stroke (R01NS-052804)
Topics: Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
Physical Sciences › Computer Science › Artificial Intelligence › Reinforcement Learning in Robotics
Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
Keywords: motor learning, model-based learning, model-free learning, reinforcement learning, internal models, cerebellum, motor adaptation
MeSH terms: Humans, Learning, Motor Skills

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

Model-Based and Model-Free Mechanisms of Human Motor Learning

Overview

Integrity signals

Verification

Claims the paper makes

Self-check

Citations

Cites

Cited by

Related

Metadata

Record

About these checks