Hierarchical MOSAIC for movement generation.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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?
Hierarchical predictive control was originally proposed for complex movement control by Haruno et al. (2003) and Pacherie (2008).
“Such a scheme has been originally proposed for complex movement control by Haruno et al. (2003) and Pacherie (2008).”
From The ConDialInt Model: Condensation, Dialogality, and Intentionality Dimensions of Inner Speech Within a Hierarchical Predictive Control Framework (2019) · cites this paper as Haruno et al., 2003
Cites
A Learning Algorithm for Continually Running Fully Recurrent Neural Networks
Williams, R. J., & Zipser, D. (1989) · Neural Computation · doi:10.1162/neco.1989.1.2.270 · Cited by 4,369 · see citing works
Hierarchical Mixtures of Experts and the EM Algorithm
Jordan, M. I., & Jacobs, R. A. (1994) · Neural Computation · doi:10.1162/neco.1994.6.2.181 · Cited by 2,730 · see citing works
Internal models for motor control and trajectory planning.
Kawato, M. (1999) · Current Opinion in Neurobiology · doi:10.1016/s0959-4388(99)00028-8 · Cited by 2,685 · see citing works
Self-citationInternal 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 · see citing works
Self-citationBarto, A. (1998) · IFAC Proceedings Volumes · doi:10.1016/s1474-6670(17)38315-5 · Cited by 2,172 · see citing works
Multiple paired forward and inverse models for motor control
Wolpert, D. M., & Kawato, M. (1998) · Neural Networks · doi:10.1016/s0893-6080(98)00066-5 · Cited by 2,152 · see citing works
Self-citationModels of Information Processing in the Basal Ganglia
(1994) · doi:10.7551/mitpress/4708.001.0001 · Cited by 1,190 · see citing works
Human cerebellar activity reflecting an acquired internal model of a new tool
Imamizu, H., Miyauchi, S., Tamada, T., Sasaki, Y., Takino, R., Pütz, B., Yoshioka, T., & Kawato, M. (2000) · Nature · doi:10.1038/35003194 · Cited by 1,000 · see citing works
Self-citationParallel neural networks for learning sequential procedures
Hikosaka, O., Nakahara, H., Rand, M. K., Sakai, K., Lu, X., Nakamura, K., Miyachi, S., & Doya, K. (1999) · Trends in Neurosciences · doi:10.1016/s0166-2236(99)01439-3 · Cited by 799 · see citing works
Prefrontal cortex activation in task switching: an event-related fMRI study
Dove, A., Pollmann, S., Schubert, T., Wiggins, C. J., & Yves von Cramon, D. (2000) · Cognitive Brain Research · doi:10.1016/s0926-6410(99)00029-4 · Cited by 714 · see citing works
MOSAIC Model for Sensorimotor Learning and Control
Haruno, M., Wolpert, D. M., & Kawato, M. (2001) · Neural Computation · doi:10.1162/089976601750541778 · Cited by 710 · see citing works
Self-citationRole for supplementary motor area cells in planning several movements ahead
Tanji, J., & Shima, K. (1994) · Nature · doi:10.1038/371413a0 · Cited by 683 · see citing works
From movement to thought: Anatomic substrates of the cerebellar contribution to cognitive processing
Schmahmann, J. D. (1996) · Human Brain Mapping · doi:10.1002/(sici)1097-0193(1996)4:3 · Cited by 643 · see citing works
Multiple model-based reinforcement learning
Doya, K., Samejima, K., Katagiri, K.-I., & Kawato, M. (2002) · Neural Computation · doi:10.1162/089976602753712972 · Cited by 476 · see citing works
Self-citationCerebellar complex spikes encode both destinations and errors in arm movements
Kitazawa, S., Kimura, T., & Yin, P.-B. (1998) · Nature · doi:10.1038/33141 · Cited by 401 · see citing works
Inverse-dynamics model eye movement control by Purkinje cells in the cerebellum
Shidara, M., Kawano, K., Gomi, H., & Kawato, M. (1993) · Nature · doi:10.1038/365050a0 · Cited by 393 · see citing works
Self-citation(1991) · Neurocomputing · doi:10.1016/0925-2312(91)90028-a · Cited by 281 · see citing works
Models of information processing in the basal ganglia
Alexander, G. E. (1996) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0921-884x(96)89703-7 · Cited by 278 · see citing works
Tani, J., & Nolfi, S. (1999) · Neural Networks · doi:10.1016/s0893-6080(99)00060-x · Cited by 259 · see citing works
A Computational Model of How the Basal Ganglia Produce Sequences
Berns, G. S., & B, T. J. S. A. (1998) · Journal of Cognitive Neuroscience · doi:10.1162/089892998563815 · Cited by 231 · see citing works
Kobayashi, Y., Kawano, K., Takemura, A., Inoue, Y., Kitama, T., Gomi, H., & Kawato, M. (1998) · Journal of Neurophysiology · doi:10.1152/jn.1998.80.2.832 · Cited by 226 · see citing works
Self-citationPallidal neuron activity during sequential arm movements
Mushiake, H., & Strick, P. L. (1995) · Journal of Neurophysiology · doi:10.1152/jn.1995.74.6.2754 · Cited by 189 · see citing works
Gomi, H., Shidara, M., Takemura, A., Inoue, Y., Kawano, K., & Kawato, M. (1998) · Journal of Neurophysiology · doi:10.1152/jn.1998.80.2.818 · Cited by 142 · see citing works
Self-citationDistributed Representation of Limb Motor Programs in Arrays of Adjustable Pattern Generators
Berthier, N. E., Singh, S. P., Barto, A. G., & Houk, J. C. (1993) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.1993.5.1.56 · Cited by 141 · see citing works
Adaptive neural oscillator using continuous-time back-propagation learning
Doya, K., & Yoshizawa, S. (1989) · Neural Networks · doi:10.1016/0893-6080(89)90022-1 · Cited by 129 · see citing works
Middleton, F. A. (1998) · Trends in Neurosciences · doi:10.1016/s0166-2236(98)01330-7 · Cited by 110 · see citing works
Preferential activity of dentate neurons during limb movements guided by vision
Mushiake, H., & Strick, P. L. (1993) · Journal of Neurophysiology · doi:10.1152/jn.1993.70.6.2660 · Cited by 93 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
An integrated theory of language production and comprehension
Pickering, M. J., & Garrod, S. (2013) · Behavioral and Brain Sciences · doi:10.1017/s0140525x12001495 · Cited by 1,569 · see citing works
A unifying computational framework for motor control and social interaction
Wolpert, D. M., Doya, K., & Kawato, M. (2003) · Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences · doi:10.1098/rstb.2002.1238 · Cited by 1,228 · see citing works
Self-citationA Hierarchy of Time-Scales and the Brain
Kiebel, S. J., Daunizeau, J., & Friston, K. J. (2008) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000209 · Cited by 694 · see citing works
Action-based language: A theory of language acquisition, comprehension, and production
Glenberg, A. M., & D, V. G. M. (2011) · Cortex · doi:10.1016/j.cortex.2011.04.010 · Cited by 675 · see citing works
Evidence for a distributed hierarchy of action representation in the brain
Grafton, S. T., & de C. Hamilton, A. F. (2007) · Human Movement Science · doi:10.1016/j.humov.2007.05.009 · Cited by 503 · see citing works
A sensorimotor paradigm for Bayesian model selection
Genewein, T., & Braun, D. A. (2012) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2012.00291 · Cited by 487 · see citing works
Multiple model-based reinforcement learning
Doya, K., Samejima, K., Katagiri, K.-I., & Kawato, M. (2002) · Neural Computation · doi:10.1162/089976602753712972 · Cited by 476 · see citing works
Self-citationNeurobiological roots of language in primate audition: common computational properties
Bornkessel‐Schlesewsky, I., Schlesewsky, M., Small, S. L., & Rauschecker, J. P. (2015) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2014.12.008 · Cited by 245 · see citing works
The Mirror Neuron System: A Neural Substrate for Methods in Stroke Rehabilitation
Garrison, K. A., Winstein, C. J., & Aziz‐Zadeh, L. (2010) · Neurorehabilitation and neural repair · doi:10.1177/1545968309354536 · Cited by 243 · see citing works
Active inference on discrete state-spaces: A synthesis
Costa, L. D., Parr, T., Sajid, N., Veselic, S., Neacsu, V., & Friston, K. J. (2020) · UCL Discovery (University College London) · Cited by 204 · see citing works
Clark, A. (2015) · The Southern Journal of Philosophy · doi:10.1111/sjp.12120 · Cited by 203 · see citing works
The architecture of speech production and the role of the phoneme in speech processing
Hickok, G. S. (2013) · Language Cognition and Neuroscience · doi:10.1080/01690965.2013.834370 · Cited by 188 · see citing works
Getting ahead: forward models and their place in cognitive architecture
Pickering, M. J., & Clark, A. (2014) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2014.05.006 · Cited by 190 · see citing works
The motor hierarchy: from kinematics to goals and intentions
Hamilton, A. F. D. C., & Grafton, S. T. (1993) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780199231447.003.0018 · Cited by 161 · see citing works
Symbol emergence in robotics: a survey
Taniguchi, T., Nagai, T., Nakamura, T., Iwahashi, N., Ogata, T., & Asoh, H. (2016) · Advanced Robotics · doi:10.1080/01691864.2016.1164622 · Cited by 150 · see citing works
Grounding Procedural and Declarative Knowledge in Sensorimotor Anticipation
Pezzulo, G. (2011) · Mind & Language · doi:10.1111/j.1468-0017.2010.01411.x · Cited by 145 · see citing works
Thinking as the control of imagination: a conceptual framework for goal-directed systems
Pezzulo, G., & Castelfranchi, C. (2009) · Psychological Research Psychologische Forschung · doi:10.1007/s00426-009-0237-z · Cited by 141 · see citing works
Pickering, M. J., & Garrod, S. (2021) · Cambridge University Press eBooks · doi:10.1017/9781108610728 · Cited by 148 · see citing works
Coordinating with the Future: The Anticipatory Nature of Representation
Pezzulo, G. (2008) · Minds and Machines · doi:10.1007/s11023-008-9095-5 · Cited by 138 · see citing works
Motor Intentions: How Intentions and Motor Representations Come Together
Brozzo, C. (2017) · Mind & Language · doi:10.1111/mila.12140 · Cited by 103 · see citing works
Grandchamp, R., Rapin, L., Perrone-Bertolotti, M., Pichat, C., Haldin, C., Cousin, E., Lachaux, J.-P., Dohen, M., Perrier, P., Garnier, M., et al. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.02019 · Cited by 97 · see citing works
A spiking neural model of adaptive arm control
DeWolf, T., Stewart, T. C., Slotine, J.-J. E., & Eliasmith, C. (2016) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2016.2134 · Cited by 92 · see citing works
Predictive joint-action model: A hierarchical predictive approach to human cooperation
Pesquita, A., Whitwell, R. L., & Enns, J. T. (2017) · Psychonomic Bulletin & Review · doi:10.3758/s13423-017-1393-6 · Cited by 76 · see citing works
Giese, M. A., & Rizzolatti, G. (2015) · Neuron · doi:10.1016/j.neuron.2015.09.040 · Cited by 76 · see citing works
50 Years Since the Marr, Ito, and Albus Models of the Cerebellum
Kawato, M., Ohmae, S., Hoang, H., & Sanger, T. D. (2020) · Neuroscience · doi:10.1016/j.neuroscience.2020.06.019 · Cited by 74 · see citing works
Self-citationButz, M. V., Herbort, O., & Hoffmann, J. (2007) · Psychological Review · doi:10.1037/0033-295x.114.4.1015 · Cited by 69 · see citing works
A Formalism for Learning from Demonstration*
Billing, E., & Hellström, T. (2010) · Paladyn Journal of Behavioral Robotics · doi:10.2478/s13230-010-0001-5 · Cited by 60 · see citing works
Natural and Artificial Meta-Configured Altricial Information-Processing Systems.
Chappell, J., & Sloman, A. (2007) · International journal of unconventional computing · Cited by 55 · see citing works
The Functional Role of the Periphery in Emotional Language Comprehension
Havas, D. A., & Matheson, J. (2013) · Frontiers in Psychology · doi:10.3389/fpsyg.2013.00294 · Cited by 50 · see citing works
Unconstraining theories of embodied cognition
van Dantzig, S., Zeelenberg, R., & Pecher, D. (2008) · Journal of Experimental Social Psychology · doi:10.1016/j.jesp.2008.11.001 · Cited by 51 · see citing works
Mindreading as social expertise
Michael, J., Christensen, W. D., & Overgaard, S. (2013) · Synthese · doi:10.1007/s11229-013-0295-z · Cited by 45 · see citing works
Hickok, G. S. (2013) · Language Cognition and Neuroscience · doi:10.1080/01690965.2013.852907 · Cited by 44 · see citing works
Nishimoto, R., & Tani, J. (2009) · Psychological Research · doi:10.1007/s00426-009-0236-0 · Cited by 43 · see citing works
The prominent role of the cerebellum in the learning, origin and advancement of culture
Vandervert, L. R. (2016) · Cerebellum & Ataxias · doi:10.1186/s40673-016-0049-z · Cited by 43 · see citing works
The case of CAUSE: neurobiological mechanisms for grounding an abstract concept
Friedemann Pulvermüller, A. (2018) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2017.0129 · Cited by 41 · see citing works
Boecker, H., Lee, A., Mühlau, M., Ceballos-Baumann, A., Ritzl, A., Spilker, M. E., Marquart, C., & Hermsdörfer, J. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2004.10.027 · Cited by 41 · see citing works
The Thalamus as a Blackboard for Perception and Planning
Worden, R., Bennett, M. S., & Neacsu, V. (2021) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2021.633872 · Cited by 39 · see citing works
Bayesian Filtering with Multiple Internal Models: Toward a Theory of Social Intelligence
Isomura, T., Parr, T., & Friston, K. J. (2019) · Neural Computation · doi:10.1162/neco_a_01239 · Cited by 41 · see citing works
Human representation of visuo-motor uncertainty as mixtures of orthogonal basis distributions
Zhang, H., Daw, N. D., & Maloney, L. T. (2015) · Nature Neuroscience · doi:10.1038/nn.4055 · Cited by 39 · see citing works
Forecast or Fall: Prediction's Importance to Postural Control
Dakin, C. J., & Bolton, D. A. E. (2018) · Frontiers in Neurology · doi:10.3389/fneur.2018.00924 · Cited by 33 · see citing works
Sadeghipour, A., & Kopp, S. (2010) · Cognitive Computation · doi:10.1007/s12559-010-9082-z · Cited by 30 · see citing works
Pezzulo, G. (2011) · IEEE Transactions on Autonomous Mental Development · doi:10.1109/tamd.2011.2166261 · Cited by 29 · see citing works
Schilling, M., Melnik, A., Ohl, F. W., Ritter, H. J., & Hammer, B. (2021) · Neural Networks · doi:10.1016/j.neunet.2021.09.017 · Cited by 28 · see citing works
Proactive Action Preparation: Seeing Action Preparation as a Continuous and Proactive Process
Pezzulo, G., & Ognibene, D. (2012) · Motor Control · doi:10.1123/mcj.16.3.386 · Cited by 27 · see citing works
Nathan, M. J., & Martinez, C. J. (2015) · Learning Research and Practice · doi:10.1080/23735082.2015.1006758 · Cited by 27 · see citing works
Behavior recognition for Learning from Demonstration
Billing, E., Hellström, T., & Janlert, L.-E. (2010) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/robot.2010.5509912 · Cited by 27 · see citing works
Bipedal locomotion: toward unified concepts in robotics and neuroscience
Azevedo, C., Espiau, B., Amblard, B., & Assaiante, C. (2007) · Biological cybernetics · doi:10.1007/s00422-006-0118-0 · Cited by 40 · see citing works
Hald, L. A., van den Hurk, M. M., & Harold Bekkering, A. (2015) · Cited by 27 · see citing works
Asano, R. (2021) · Primates · doi:10.1007/s10329-021-00905-x · Cited by 26 · see citing works
Uğur, E., & Piater, J. (2016) · IEEE Transactions on Cognitive and Developmental Systems · doi:10.1109/tcds.2016.2581307 · Cited by 26 · see citing works
Timescales of motor memory formation in dual-adaptation
Forano, M., & Franklin, D. W. (2020) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1008373 · Cited by 26 · see citing works
The Effect of Cognitive Relevance of Directed Actions on Mathematical Reasoning
Walkington, C., Nathan, M. J., Wang, M., & Schenck, K. E. (2022) · Cognitive Science · doi:10.1111/cogs.13180 · Cited by 24 · see citing works
MOSAIC for Multiple-Reward Environments
Sugimoto, N., Haruno, M., Doya, K., & Kawato, M. (2011) · Neural Computation · doi:10.1162/neco_a_00246 · Cited by 24 · see citing works
Self-citationHierarchical generative modelling for autonomous robots
Yuan, K., Sajid, N., Friston, K., & Li, Z. (2023) · Nature Machine Intelligence · doi:10.1038/s42256-023-00752-z · Cited by 23 · see citing works
Learning Classifier Systems: Looking Back and Glimpsing Ahead
Bacardit, J., Bernadó-Mansilla, E., & Butz, M. V. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-88138-4_1 · Cited by 23 · see citing works
Anticipations, Brains, Individual and Social Behavior: An Introduction to Anticipatory Systems
Butz, M. V., Sigaud, O., Pezzulo, G., & Baldassarre, G. (2007) · SAB ABiALS · doi:10.1007/978-3-540-74262-3_1 · Cited by 22 · see citing works
Taniguchi, T., & Sawaragi, T. (2007) · Advanced Robotics · doi:10.1163/156855307781389374 · Cited by 21 · see citing works
Learning verbs more effectively through meaning congruent action animations
Hald, L. A., van den Hurk, M. M., & Harold Bekkering, A. (2015) · Learning and Instruction · doi:10.1016/j.learninstruc.2015.05.010 · Cited by 20 · see citing works
Barnaveli, I., Viganò, S., Reznik, D., Haggard, P., & Doeller, C. F. (2025) · Nature Communications · doi:10.1038/s41467-025-59153-y · Cited by 19 · see citing works
Arbib, M. A. (2017) · Journal of Neurolinguistics · doi:10.1016/j.jneuroling.2016.12.003 · Cited by 18 · see citing works
Herbort, O., Butz, M. V., & Pedersen, G. K. M. (2009) · Studies in computational intelligence · doi:10.1007/978-3-642-05181-4_5 · Cited by 18 · see citing works
Johnson, M., & Demiris, Y. (2005) · Spiral (Imperial College London) · Cited by 18 · see citing works
From Adaptive Locomotion to Predictive Action Selection – Cognitive Control for a Six-Legged Walker
Schilling, M., Paskarbeit, J., Ritter, H. J., Schneider, A., & Cruse, H. (2021) · IEEE Transactions on Robotics · doi:10.1109/tro.2021.3106832 · Cited by 15 · see citing works
Donnarumma, F., Prevete, R., de Giorgio, A., Montone, G., & Pezzulo, G. (2015) · Adaptive Behavior · doi:10.1177/1059712315609412 · Cited by 16 · see citing works
MODEM: a multi-agent hierarchical structure to model the human motor control system
Andani, M. E., Bahrami, F., Maralani, P. J., & Ijspeert, A. J. (2009) · Biological Cybernetics · doi:10.1007/s00422-009-0342-5 · Cited by 16 · see citing works
Andani, M. E., & Bahrami, F. (2012) · Human Movement Science · doi:10.1016/j.humov.2012.01.001 · Cited by 14 · see citing works
CHANGE DETECTION, MULTIPLE CONTROLLERS, AND DYNAMIC ENVIRONMENTS: INSIGHTS FROM THE BRAIN
Pearson, J. M., & Platt, M. L. (2012) · Journal of the Experimental Analysis of Behavior · doi:10.1002/jeab.5 · Cited by 13 · see citing works
Neural representations unobserved—or: a dilemma for the cognitive neuroscience revolution
Facchin, M. (2023) · Synthese · doi:10.1007/s11229-023-04418-6 · Cited by 13 · see citing works
Schema-Based Design and the AKIRA Schema Language: An Overview
Pezzulo, G., & Calvi, G. (2007) · SAB ABiALS · doi:10.1007/978-3-540-74262-3_8 · Cited by 14 · see citing works
The Skill of Translating Thought into Action: Framing The Problem
Christensen, W. D. (2020) · Review of Philosophy and Psychology · doi:10.1007/s13164-020-00517-2 · Cited by 13 · see citing works
Autonomy of Self at Criticality: The Perspective from Synthetic Neuro-Robotics
Tani, J. (2009) · Adaptive Behavior · doi:10.1177/1059712309344421 · Cited by 12 · see citing works
Constructing the context through goals and schemata: top-down processes in comprehension and beyond
Mazzone, M. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.00651 · Cited by 12 · see citing works
Anticipatory Planning of Sequential Hand and Finger Movements
Herbort, O., & Butz, M. V. (2009) · Journal of Motor Behavior · doi:10.3200/35-09-003-ra · Cited by 12 · see citing works
Billing, E., Svensson, H., Lowe, R. J., & Tom Ziemke, B. (2016) · Frontiers in Robotics and AI · doi:10.3389/frobt.2016.00009 · Cited by 10 · see citing works
Vicariis, C. D., Chackochan, V. T., & Sanguineti, V. (2022) · Phenomenology and the Cognitive Sciences · doi:10.1007/s11097-022-09819-5 · Cited by 10 · see citing works
DiPRA: a layered agent architecture which integrates practical reasoning and sensorimotor schemas
Pezzulo, G. (2009) · Connection Science · doi:10.1080/09540090902954170 · Cited by 10 · see citing works
A generic neural network for multi-modal sensorimotor learning
Carenzi, F., Bendahan, P., Roschin, V. Y., Frolov, A. A., Gorce, P., & Maier, M. A. (2004) · Neurocomputing · doi:10.1016/j.neucom.2004.01.090 · Cited by 10 · see citing works
Taniguchi, T., & Sawaragi, T. (2007) · Neural Networks · doi:10.1016/j.neunet.2007.10.007 · Cited by 10 · see citing works
Andani, M. E., Bahrami, F., & Maralani, P. J. (2009) · Neurocomputing · doi:10.1016/j.neucom.2008.12.016 · Cited by 10 · see citing works
Embodied simulation as off-line representation
Svensson, H. (2007) · DiVA (Linkoping University) · Cited by 10 · see citing works
Embodied object representation learning and recognition
Van de Maele, T., Verbelen, T., Çatal, O., & Dhoedt, B. (2022) · Frontiers in Neurorobotics · doi:10.3389/fnbot.2022.840658 · Cited by 9 · see citing works
The role of motor memory dynamics in structuring bodily self-consciousness
Ishikawa, R., Ayabe‐Kanamura, S., & Izawa, J. (2021) · iScience · doi:10.1016/j.isci.2021.103511 · Cited by 9 · see citing works
Modularity in Nervous Systems—a Key to Efficient Adaptivity for Deep Reinforcement Learning
Schilling, M., Hammer, B., Ohl, F. W., Ritter, H. J., & Wiskott, L. (2023) · Cognitive Computation · doi:10.1007/s12559-022-10080-w · Cited by 9 · see citing works
Search in Real-Time Video Games
Cowling, P., Buro, M., Bída, M., Botea, A., Bouzy, B., Butz, M. V., Hingston, P., Muñoz‐Avila, H., Nau, D. S., & Sipper, M. (2013) · DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) · doi:10.4230/dfu.vol6.12191.1 · Cited by 9 · see citing works
Reward and expectancy effects on neural signals of motor preparation and execution
Chen, X., van den Berg, B., & Kwak, Y. (2022) · Cortex · doi:10.1016/j.cortex.2022.01.018 · Cited by 9 · see citing works
Working Memory, Cerebellum, and Creativity
Jalil, P. A. (2007) · Creativity Research Journal · doi:10.1080/10400410709336878 · Cited by 9 · see citing works
What does it mean to predict one's own utterances?
Meyer, A. S., & Peter Hagoort, A. (2013) · Behavioral and Brain Sciences · doi:10.1017/s0140525x12002786 · Cited by 13 · see citing works
Supervisory chaos control of a two-link rigid robot arm using OGY method
Nazari, M., Rafiee, G., Jafari, A. H., & Golpayegani, S. M. R. H. (2008) · IEEE Conference on Cybernetics and Intelligent Systems · doi:10.1109/iccis.2008.4670980 · Cited by 9 · see citing works
Misaghian, K., Lugo, J. E., & Faubert, J. (2024) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2024.1348712 · Cited by 8 · see citing works
Bayes, predictive processing, and the cognitive architecture of motor control
Burnston, D. C. (2021) · Consciousness and Cognition · doi:10.1016/j.concog.2021.103218 · Cited by 8 · see citing works
A cerebellar population coding model for sensorimotor learningPreprint
Wang, T., & Ivry, R. B. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.07.04.547720 · Cited by 8 · see citing works
Perturbation Variability Does Not Influence Implicit Sensorimotor Adaptation
Wang, T., Avraham, G., Tsay, J. S., Abram, S. J., & Ivry, R. B. (2024) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1011951 · Cited by 7 · see citing works
Evidence for, and predictions from, forward modeling in language production
Alario, F. ‐., & Hamamé, C. M. (2013) · Behavioral and Brain Sciences · doi:10.1017/s0140525x1200249x · Cited by 7 · see citing works
Multilevel anticipative interactions for goal oriented behaviors
Quinton, J., & Buisson, J. (2008) · Cited by 7 · see citing works
Hierarchies for Embodied Action Perception
Ognibene, D., Wu, Y. J., Lee, K., & Demiris, Y. (2013) · Springer eBooks · doi:10.1007/978-3-642-39875-9_5 · Cited by 7 · see citing works
A Biologically Inspired Modular Structure to Control the Sit-to-Stand Transfer of a Biped Robot
Andani, M. E., Bahrami, F., & Maralani, P. J. (2007) · Conference proceedings · doi:10.1109/iembs.2007.4352964 · Cited by 7 · see citing works
Cognition Reversed : Robot Learning from Demonstration
Billing, E. (2009) · KTH Publication Database DiVA (KTH Royal Institute of Technology) · Cited by 7 · see citing works
Learning and use of sensorimotor schemata maps
Gläser, C., Joublin, F., & Goerick, C. (2009) · IEEE International Conference on Development and Learning (ICDL) · doi:10.1109/devlrn.2009.5175509 · Cited by 6 · see citing works
MODEL-FREE LEARNING FROM DEMONSTRATION
Billing, E., Hellström, T., & Janlert, L.-E. (2010) · International Conference on Agents and Artificial Intelligence (ICAART) · doi:10.5220/0002729500620071 · Cited by 6 · see citing works
Wang, T., & Ivry, R. B. (2025) · Science Advances · doi:10.1126/sciadv.adr4540 · Cited by 4 · see citing works
- Authors
- Haruno, M., Wolpert, D. M., & Kawato, M.
- Affiliations
- Advanced Telecommunications Research Institute International (JP)
- UCL Queen Square Institute of Neurology (GB)
- Corresponding author
- Kawato, Mitsuo
- Venue
- International Congress Series
- Publisher
- Elsevier BV
- Published
- 2003-10
- Volume
- 1250
- Pages
- 575-590
- ISSN
- 0531-5131 (ISSN-L)
- OpenAlex
- W1973615355
- Cited by
- 132
- References
- 27
- Citations by year
- 2025: 5 · 2024: 2 · 2023: 6 · 2022: 5 · 2021: 7 · 2020: 5 · 2019: 3 · 2018: 4 · 2017: 3 · 2016: 5 · 2015: 16 · 2014: 1 · 2013: 14 · 2012: 6
- FWCI
- 0.84
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- International Congress Series (publishedVersion)
- Cambridge University Engineering Department Publications Database (submittedVersion)
- Funders
- James S. McDonnell Foundation
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
- Life Sciences › Neuroscience › Cognitive Neuroscience › Embodied and Extended Cognition
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Keywords
- motion generation, hierarchical motor control, motor learning, prediction model, control model, switching behavior, motor adaptation, bidirectional information flow, cerebral cortex
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