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 accessOverview
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.
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
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
(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
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
Barto, A. (1998) · IFAC Proceedings Volumes · doi:10.1016/s1474-6670(17)38315-5 · Cited by 2,172
Cited by
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
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
Taking aim at the cognitive side of learning in sensorimotor adaptation tasks
McDougle, S. D., Ivry, R. B., & Taylor, J. A. (2016) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2016.05.002 · Cited by 236
The Influence of Movement Preparation Time on the Expression of Visuomotor Learning and Savings
Haith, A. M., Huberdeau, D. M., & Krakauer, J. W. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.3869-14.2015 · Cited by 220
Self-citationCerebellar and Prefrontal Cortex Contributions to Adaptation, Strategies, and Reinforcement Learning
Taylor, J. A., & Ivry, R. B. (2014) · Progress in brain research · doi:10.1016/b978-0-444-63356-9.00009-1 · Cited by 225
Therrien, A. S., Wolpert, D. M., & Bastian, A. J. (2015) · Brain · doi:10.1093/brain/awv329 · Cited by 199
Long-term training modifies the modular structure and organization of walking balance control
Sawers, A. B., Allen, J. L., & Ting, L. H. (2015) · Journal of Neurophysiology · doi:10.1152/jn.00758.2015 · Cited by 167
Feedback and motor skill acquisition using a haptic dental simulator
Al‐Saud, L. M., Mushtaq, F., Allsop, M. J., Culmer, P., Mirghani, I., Yates, E., Keeling, A. J., Mon-Williams, M. A., & Manogue, M. R. (2016) · European Journal Of Dental Education · doi:10.1111/eje.12214 · Cited by 173
Multiple Motor Learning Processes in Humans: Defining Their Neurophysiological Bases
Spampinato, D. A., & Celnik, P. A. (2020) · The Neuroscientist · doi:10.1177/1073858420939552 · Cited by 170
Pickering, M. J., & Garrod, S. (2021) · Cambridge University Press eBooks · doi:10.1017/9781108610728 · Cited by 163
Kitago, T., Ryan, S. L., Mazzoni, P., Krakauer, J. W., & Haith, A. M. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00307 · Cited by 131
Self-citationSkill and motor control: intelligence all the way down
Fridland, E. (2016) · Philosophical Studies · doi:10.1007/s11098-016-0771-7 · Cited by 132
Telgen, S., Parvin, D. E., & Diedrichsen, J. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.5306-13.2014 · Cited by 137
Temporal dynamics of cerebellar and motor cortex physiological processes during motor skill learning
Spampinato, D. A., & Celnik, P. A. (2017) · Scientific Reports · doi:10.1038/srep40715 · Cited by 127
Motor cortical plasticity induced by motor learning through mental practice
Avanzino, L., Gueugneau, N., Bisio, A., Ruggeri, P., Papaxanthis, C., & Bove, M. (2015) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2015.00105 · Cited by 115
Contribution of explicit processes to reinforcement-based motor learning
Holland, P. J., Codol, O., & Galea, J. M. (2018) · Journal of Neurophysiology · doi:10.1152/jn.00901.2017 · Cited by 97
Ambrus, G. G., Vékony, T., Janacsek, K., Trimborn, A. B. C., Kovács, G., & Németh, D. (2020) · Journal of Memory and Language · doi:10.1016/j.jml.2020.104144 · Cited by 97
The relationship between habits and motor skills in humans
Du, Y., Krakauer, J. W., & Haith, A. M. (2022) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2022.02.002 · Cited by 101
Self-citationSomatosensory cortex participates in the consolidation of human motor memory
Kumar, N., Manning, T. F., & Ostry, D. J. (2019) · PLoS Biology · doi:10.1371/journal.pbio.3000469 · Cited by 95
Dissociating error-based and reinforcement-based loss functions during sensorimotor learning
Cashaback, J. G. A., McGregor, H. E., Mohatarem, A., & Gribble, P. L. (2017) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1005623 · Cited by 88
Hadjiosif, A. M., Krakauer, J. W., & Haith, A. M. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.2125-20.2021 · Cited by 92
Self-citationPersistent Residual Errors in Motor Adaptation Tasks: Reversion to Baseline and Exploratory Escape
Vaswani, P. A., Shmuelof, L., Haith, A. M., Delnicki, R. J., Huang, V. S., Mazzoni, P., Shadmehr, R., & Krakauer, J. W. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.2656-14.2015 · Cited by 77
Self-citationThe Attention Schema Theory: A Foundation for Engineering Artificial Consciousness
Graziano, M. S. A. (2017) · Frontiers in Robotics and AI · doi:10.3389/frobt.2017.00060 · Cited by 79
Increasing Motor Noise Impairs Reinforcement Learning in Healthy Individuals
Therrien, A. S., Wolpert, D. M., & Bastian, A. J. (2018) · eNeuro · doi:10.1523/eneuro.0050-18.2018 · Cited by 79
Feedback delay attenuates implicit but facilitates explicit adjustments to a visuomotor rotation
Schween, R., & Hegele, M. (2017) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2017.02.015 · Cited by 78
Modeling the Role of Sensory Feedback in Speech Motor Control and Learning
Parrell, B., & Houde, J. (2019) · Journal of Speech, Language, and Hearing Research · doi:10.1044/2019_jslhr-s-csmc7-18-0127 · Cited by 75
The relationship between reinforcement and explicit control during visuomotor adaptation
Codol, O., Holland, P. J., & Galea, J. M. (2018) · Scientific Reports · doi:10.1038/s41598-018-27378-1 · Cited by 74
Rapid learning and unlearning of predicted sensory delays in self-generated touch
Kilteni, K., Houborg, C., & Ehrsson, H. H. (2019) · eLife · doi:10.7554/elife.42888 · Cited by 84
Chmielewski, T. L., Tatman, J., Suzuki, S., Horodyski, M., Reisman, D. S., Bauer, R. M., Clugston, J. R., & Herman, D. C. (2020) · Journal of sport and health science/Journal of Sport and Health Science · doi:10.1016/j.jshs.2020.11.005 · Cited by 68
Electrifying the motor engram: effects of tDCS on motor learning and control
de Xivry, J. O., & Shadmehr, R. (2014) · Experimental Brain Research · doi:10.1007/s00221-014-4087-6 · Cited by 67
High variability impairs motor learning regardless of whether it affects task performance
Cardis, M., Casadio, M., & Ranganathan, R. (2017) · Journal of Neurophysiology · doi:10.1152/jn.00158.2017 · Cited by 68
Beyond Being Real: A Sensorimotor Control Perspective on Interactions in Virtual Reality
Abtahi, P., Hough, S. Q., Landay, J. A., & Follmer, S. (2022) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3491102.3517706 · Cited by 68
The gradient of the reinforcement landscape influences sensorimotor learning
Cashaback, J. G. A., Lao, C. K., Palidis, D. J., Coltman, S. K., McGregor, H. E., & Gribble, P. L. (2019) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1006839 · Cited by 68
Brain Activity Reveals Multiple Motor-Learning Mechanisms in a Real-World Task
Haar, S., & Faisal, A. A. (2020) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2020.00354 · Cited by 56
Long-term stability of single neuron activity in the motor system
Jensen, K. T., Harpaz, N. K., Dhawale, A. K., Wolff, S. B. E., & Ölveczky, B. P. (2022) · Nature Neuroscience · doi:10.1038/s41593-022-01194-3 · Cited by 56
Neural signatures of reward and sensory error feedback processing in motor learning
Palidis, D. J., Cashaback, J. G. A., & Gribble, P. L. (2019) · Journal of Neurophysiology · doi:10.1152/jn.00792.2018 · Cited by 62
Implicit Visuomotor Adaptation Remains Limited after Several Days of Training
Hutter, S. A., & Taylor, J. A. (2021) · eNeuro · doi:10.1523/eneuro.0312-20.2021 · Cited by 64
Learning control in robot-assisted rehabilitation of motor skills – a review
Zhou, S.-H., Fong, J., Crocher, V., Tan, Y., Oetomo, D., & Mareels, I. (2016) · Journal of Control and Decision · doi:10.1080/23307706.2015.1129295 · Cited by 58
Uehara, S., Mawase, F., & Celnik, P. A. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx214 · Cited by 52
Deconstructing skill learning and its physiological mechanisms
Spampinato, D. A., & Celnik, P. A. (2018) · Cortex · doi:10.1016/j.cortex.2018.03.017 · Cited by 54
A Synthesis of the Many Errors and Learning Processes of Visuomotor AdaptationPreprint
Morehead, J. R., & de Xivry, J. O. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.03.14.435278 · Cited by 55
Christiansen, L., Larsen, M. N., Madsen, M. A. J., Grey, M. J., Nielsen, J. B., & Lundbye‐Jensen, J. (2020) · Scientific Reports · doi:10.1038/s41598-020-72139-8 · Cited by 59
Formation of model-free motor memories during motor adaptation depends on perturbation schedule
de Xivry, J. O., & Lefèvre, P. (2015) · Journal of Neurophysiology · doi:10.1152/jn.00673.2014 · Cited by 46
Learning to swim in potential flow
Jiao, Y., Ling, F., Heydari, S., Heess, N., Merel, J., & Kanso, E. A. (2021) · Physical Review Fluids · doi:10.1103/physrevfluids.6.050505 · Cited by 49
Value-free reinforcement learning: policy optimization as a minimal model of operant behavior
Bennett, D., Niv, Y., & Langdon, A. (2021) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2021.04.020 · Cited by 48
Mawase, F., Bar‐Haim, S., & Shmuelof, L. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.2733-16.2016 · Cited by 45
Charalambous, C. C., Alcântara, C. C., French, M. A., Li, X., Matt, K. S., Kim, H. E., Morton, S. M., & Reisman, D. S. (2018) · The Journal of Physiology · doi:10.1113/jp275881 · Cited by 46
Kim, K. S., Daliri, A., Flanagan, J. R., & Max, L. (2020) · Neuroscience · doi:10.1016/j.neuroscience.2020.10.014 · Cited by 45
Measures of explicit and implicit in motor learning: what we know and what we don’t
Maresch, J., Mudrik, L., & Donchin, O. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.06.037 · Cited by 52
Reduced asymmetry in motor skill learning in left-handed compared to right-handed individuals
McGrath, R. L., & Kantak, S. S. (2015) · Human Movement Science · doi:10.1016/j.humov.2015.11.012 · Cited by 43
The spontaneousness of skill and the impulsivity of habit
Douskos, C. (2017) · Synthese · doi:10.1007/s11229-017-1658-7 · Cited by 45
Dopamine promotes instrumental motivation, but reduces reward-related vigour
Grogan, J. P., Sandhu, T., Hu, M. T., & Manohar, S. (2020) · eLife · doi:10.7554/elife.58321 · Cited by 38
New roles for dopamine in motor skill acquisition: lessons from primates, rodents, and songbirds
Wood, A. N. (2021) · Journal of Neurophysiology · doi:10.1152/jn.00648.2020 · Cited by 43
Online and post-trial feedback differentially affect implicit adaptation to a visuomotor rotation
Schween, R., Taube, W., Gollhofer, A., & Leukel, C. (2014) · Experimental Brain Research · doi:10.1007/s00221-014-3992-z · Cited by 39
How learning unfolds in the brain: toward an optimization view
Hennig, J. A., Oby, E. R., Losey, D. M., Batista, A. P., Yu, B. M., & Chase, S. M. (2021) · Neuron · doi:10.1016/j.neuron.2021.09.005 · Cited by 38
BENEDICTIS, A. D., Rossi‐Espagnet, M. C., Palma, L. D., Carai, A., & Marras, C. E. (2022) · Frontiers in Neurology · doi:10.3389/fneur.2022.806298 · Cited by 39
Coupled Decision Processes Update and Maintain Saccadic Priors in a Dynamic Environment
Kim, T. D., Kabir, M., & Gold, J. I. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.3078-16.2017 · Cited by 36
Attention control and the attention schema theory of consciousness
Wilterson, A. I., Kemper, C. M., Kim, N., Webb, T. W., Reblando, A. M. W., & Graziano, M. S. A. (2020) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2020.101844 · Cited by 38
Skilled forelimb movements and internal copy motor circuits
Azim, E., & Alstermark, B. (2015) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2014.12.009 · Cited by 37
Avraham, G., Keizman, M., & Shmuelof, L. (2019) · Journal of Neurophysiology · doi:10.1152/jn.00080.2019 · Cited by 35
The effects of acute exercise on visuomotor adaptation, learning, and inter-limb transfer
Neva, J. L., Ma, J. A., Orsholits, D., Boisgontier, M. P., & Boyd, L. A. (2019) · Experimental Brain Research · doi:10.1007/s00221-019-05491-5 · Cited by 42
Explicit and implicit components of visuo-motor adaptation: An analysis of individual differences
Heuer, H., & Hegele, M. (2015) · Consciousness and Cognition · doi:10.1016/j.concog.2014.12.013 · Cited by 39
Auditory feedback in error-based learning of motor regularity
van Vugt, F. T., & Tillmann, B. (2015) · Brain Research · doi:10.1016/j.brainres.2015.02.026 · Cited by 40
Model-Free Robust Optimal Feedback Mechanisms of Biological Motor Control
Bian, T., Wolpert, D. M., & Jiang, Z. (2020) · Neural Computation · doi:10.1162/neco_a_01260 · Cited by 35
van Vugt, F. T., Kafczyk, T., Kuhn, W., Rollnik, J. D., Tillmann, B., & ALTENMÜLLER, E. O. (2016) · Restorative Neurology and Neuroscience · doi:10.3233/rnn-150588 · Cited by 33
The effect of proprioceptive acuity variability on motor adaptation in older adults
Lei, Y., & Wang, J. (2017) · Experimental Brain Research · doi:10.1007/s00221-017-5150-x · Cited by 32
A locomotor learning paradigm using distorted visual feedback elicits strategic learning
French, M. A., Morton, S. M., Charalambous, C. C., & Reisman, D. S. (2018) · Journal of Neurophysiology · doi:10.1152/jn.00252.2018 · Cited by 31
Agrammatic output in non-fluent, including Broca’s, aphasia as a rational behavior
Fedorenko, E. G., Ryskin, R. A., & Gibson, E. A. F. (2022) · Aphasiology · doi:10.1080/02687038.2022.2143233 · Cited by 36
Kelly, G., Mobbs, S., Pritkin, J. N., Mayston, M. J., Mather, M. W., Rosenbaum, P., Henderson, R., & Forsyth, R. J. (2014) · Developmental Medicine & Child Neurology · doi:10.1111/dmcn.12592 · Cited by 32
Batcho, C. S., Gagné, M., Bouyer, L. J., Roy, J., & Mercier, C. (2016) · Neuroscience · doi:10.1016/j.neuroscience.2016.09.020 · Cited by 30
A lightweight robotic arm with pneumatic muscles for robot learning
Büchler, D., Ott, H., & Peters, J. (2016) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra.2016.7487599 · Cited by 31
Ruttle, J. E., Hart, B. M. ’., & Henriques, D. Y. P. (2018) · PLoS ONE · doi:10.1371/journal.pone.0200621 · Cited by 31
Wyatt, L. E., Hewan, P., Hogeveen, J., Spreng, R. N., & Turner, G. R. (2023) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2023.108740 · Cited by 39
Mawase, F., Bar‐Haim, S., Joubran, K., Rubin, L., Karniel, A., & Shmuelof, L. (2016) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00203 · Cited by 29
A single exposure to altered auditory feedback causes observable sensorimotor adaptation in speech
Hantzsch, L., Parrell, B., & Niziolek, C. A. (2022) · eLife · doi:10.7554/elife.73694 · Cited by 30
Age-related variations of visuo-motor adaptation beyond explicit knowledge
Heuer, H., & Hegele, M. (2014) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2014.00152 · Cited by 30
Neuromodulation and Neurophysiology on the Timescale of Learning and Decision-Making
Grossman, C. D., & Cohen, J. Y. (2022) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-092021-125059 · Cited by 30
A gene-maturation-environment model for understanding sensitive period effects in musical training
Penhune, V. B. (2020) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2020.05.011 · Cited by 31
Wang, J., Lei, Y., & Binder, J. R. (2015) · Journal of Neurophysiology · doi:10.1152/jn.00974.2014 · Cited by 27
Wang, J., & Lei, Y. (2015) · Journal of Neurophysiology · doi:10.1152/jn.00298.2015 · Cited by 27
Gastrock, R. Q., Modchalingam, S., Hart, B. M. ’., & Henriques, D. Y. P. (2020) · Scientific Reports · doi:10.1038/s41598-020-76940-3 · Cited by 25
Optimal Feedback Control for Modeling Human–Computer Interaction
Fischer, F., Fleig, A., Klar, M., & Müller, J. (2022) · ACM Transactions on Computer-Human Interaction · doi:10.1145/3524122 · Cited by 35
Mechanisms of Human Motor Learning Do Not Function Independently
Therrien, A. S., & Wong, A. L. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2021.785992 · Cited by 24
Bell, J. D., & Macuga, K. L. (2022) · Psychonomic Bulletin & Review · doi:10.3758/s13423-021-02032-6 · Cited by 26
Cortico-cerebellar network involved in saccade adaptation
Guillaume, A., Fuller, J. R., Srimal, R., & Curtis, C. E. (2018) · Journal of Neurophysiology · doi:10.1152/jn.00392.2018 · Cited by 29
Catch trials in force field learning influence adaptation and consolidation of human motor memory
Stockinger, C., Focke, A., & Stein, T. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00231 · Cited by 24
Coltman, S. K., & Gribble, P. L. (2020) · Journal of Neurophysiology · doi:10.1152/jn.00286.2020 · Cited by 23
Lei, Y., & Wang, J. (2014) · Brain and Cognition · doi:10.1016/j.bandc.2014.09.004 · Cited by 23
Sensing flow gradients is necessary for learning autonomous underwater navigation
Jiao, Y., Hang, H., Merel, J., & Kanso, E. (2025) · Nature Communications · doi:10.1038/s41467-025-58125-6 · Cited by 23
Understanding Sensitive Period Effects in Musical Training
Penhune, V. B. (2021) · Current topics in behavioral neurosciences · doi:10.1007/7854_2021_250 · Cited by 24
Mirror Visual Feedback to Improve Bradykinesia in Parkinson’s Disease
Bonassi, G., Pelosin, E., Ogliastro, C., Cerulli, C., Abbruzzese, G., & Avanzino, L. (2016) · Neural Plasticity · doi:10.1155/2016/8764238 · Cited by 22
Golroudbari, A. A., & Sabour, M. H. (2023) · doi:10.22541/au.168664884.43899660/v1 · Cited by 22
Task-relevant and task-irrelevant variability causally shape error-based motor learning
Dal’Bello, L. R., & Izawa, J. (2021) · Neural Networks · doi:10.1016/j.neunet.2021.07.015 · Cited by 19
The capacity to learn new motor and perceptual calibrations develops concurrently in childhood
Rossi, C., Chau, C. W., Leech, K. A., Statton, M. A., Gonzalez, A. J., & Bastian, A. J. (2019) · Scientific Reports · doi:10.1038/s41598-019-45074-6 · Cited by 22
Wong, A. L., & Shelhamer, M. (2014) · Journal of Neurophysiology · doi:10.1152/jn.00779.2013 · Cited by 19
Dopamine Depletion Affects Vocal Acoustics and Disrupts Sensorimotor Adaptation in Songbirds
Saravanan, V., Hoffmann, L. A., Jacob, A., Berman, G. J., & Sober, S. J. (2019) · eNeuro · doi:10.1523/eneuro.0190-19.2019 · Cited by 22
Mechanisms of sensorimotor adaptation in a hierarchical state feedback control model of speech
Kim, K. S., Gaines, J. L., Parrell, B., Ramanarayanan, V., Nagarajan, S. S., & Houde, J. F. (2023) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1011244 · Cited by 23
Metadata
- Authors
- Haith, A. M., & Krakauer, J. W.
- Affiliations
- Johns Hopkins University (US)
- Corresponding author
- Haith, Adrian M.
- Venue
- Advances in Experimental Medicine and Biology
- Publisher
- Springer New York
- Published
- 2013
- Volume
- 782
- Pages
- 1-21
- ISSN
- 0065-2598 (ISSN-L)
- 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
- 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