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Forward modeling allows feedback control for fast reaching movements
Open accessAbstract
Delays in sensorimotor loops have led to the proposal that reaching movements are primarily under pre-programmed control and that sensory feedback loops exert an influence only at the very end of a trajectory. The present review challenges this view. Although behavioral data suggest that a motor plan is assembled prior to the onset of movement, more recent studies have indicated that this initial plan does not unfold unaltered, but is updated continuously by internal feedback loops. These loops rely on a forward model that integrates the sensory inflow and motor outflow to evaluate the consequence of the motor commands sent to a limb, such as the arm. In such a model, the probable position and velocity of an effector can be estimated with negligible delays and even predicted in advance, thus making feedback strategies possible for fast reaching movements. The parietal lobe and cerebellum appear to play a crucial role in this process. The ability of the motor system to estimate the future state of the limb might be an evolutionary substrate for mental operations that require an estimate of sequelae in the immediate future.
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In the citing paper
“Mismatch detection and the forward model are involved in different aspects of motor execution: in motor control (for rapid online movement adaptation, for sensory attenuation), in motor learning (sensorimotor adaptation), but also for the sense of agency (Miall et al., 1993; Wolpert et al., 1998; Desmurget and Grafton, 2000; Blakemore and Sirigu, 2003; Jeannerod, 2009; Haggard, 2017; Dogge et al.,”
From The Forward Model: A Unifying Theory for the Role of the Cerebellum in Motor Control and Sense of Agency (2021) · cites this paper as Desmurget and Grafton, 2000
In the citing paper
“Among these areas, the cerebellum is of particular interest and could be a comparator considering its unique architecture and connectivity (Miall et al., 1993; Wolpert et al., 1998; Desmurget and Grafton, 2000; Blakemore and Sirigu, 2003; Ito, 2006, 2008; Jeannerod, 2009; Tanaka et al., 2020; Figure 1).”
From The Forward Model: A Unifying Theory for the Role of the Cerebellum in Motor Control and Sense of Agency (2021) · cites this paper as Desmurget and Grafton, 2000
In the citing paper
“The forward model integrates both the efference copy of the motor command and the sensory feedback to produce a prediction of the sensory consequences of the motor command.”
From The Forward Model: A Unifying Theory for the Role of the Cerebellum in Motor Control and Sense of Agency (2021) · cites this paper as Desmurget and Grafton, 2000
In the citing paper
“On-line motor correction using the forward model would be faster than the processing time of using the sensory feedback alone.”
From The Forward Model: A Unifying Theory for the Role of the Cerebellum in Motor Control and Sense of Agency (2021) · cites this paper as Desmurget and Grafton, 2000
In the citing paper
“It has thus been proposed that on-line motor control relies on a forward model.”
From The Forward Model: A Unifying Theory for the Role of the Cerebellum in Motor Control and Sense of Agency (2021) · cites this paper as Desmurget and Grafton, 2000
In the citing paper
“These predictions are directly compared with the sensory feedback generated by the movement and thus provide an optimal estimate of the state of the effector; any discrepancy would be used to correct the on-going movement (Miall et al., 1993; Wolpert et al., 1998; Desmurget and Grafton, 2000; Tanaka et al., 2020).”
From The Forward Model: A Unifying Theory for the Role of the Cerebellum in Motor Control and Sense of Agency (2021) · cites this paper as Desmurget and Grafton, 2000
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BackgroundMethodInfluentialDelmas, S., Tiwari, A. A., Tseng, H., Poisson, S. N., Diehl, M. K., & Lodha, N. (2025) · Brain and Behavior · doi:10.1002/brb3.70365 · Cited by 11
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“This paradigm has been mployed to understand the numerous processes of feedack control occurring between the eye and the hand uring pointing movements (Pélisson et al., 1986; Hoff and rbib, 1993; Desmurget and Grafton, 2000).”
A review of brain-based neuro-cognitive models
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“Predictive motor control is underpinned by the interplay between brain development and experience (Wolpert et al., 1998; Desmurget and Grafton, 2000; Buneo and Andersen, 2006).”
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Kim, K. S., Hinkley, L. B., Brent, K., Gaines, J. L., Pongos, A. L., Gupta, S., Dale, C., Nagarajan, S., & Houde, J. F. (2023) · bioRxiv · doi:10.1101/2023.10.22.563504 · Cited by 10
“Additionally, the cerebellum’s projection to the posterior parietal cortex (Clower et al., 2001) has been implicated for generating sensory prediction(e.g., Della-Maggiore et al., 2004; Desmurget & Grafton, 2000; also see Blakemore & Sirigu, 2003 for a detailed review).”
BackgroundMotor deficits in autism differ from that of developmental coordination disorder
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“Any mismatch will lead to corrective commands, hence feedback control, and an update of the model to improve the action performance (for review, see Desmurget & Grafton, 2000).”
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Kalidindi, H. T., Vannucci, L., Laschi, C., & Falotico, E. (2020) · Bioinspiration & Biomimetics · doi:10.1088/1748-3190/abae7f · Cited by 8
“Much of the evidence indicates the ability of the biological systems to maintain fast and accurate eye/limb movements during the disruption of the sensory feedback that could help in online control of the movement (Desmurget and Grafton 2000).”
BackgroundParr, J. V. V., Gallicchio, G., Harrison, N., Johnen, A.-K., & Wood, G. (2020) · Biological Psychology · doi:10.1016/j.biopsycho.2020.107943 · Cited by 13
Deconinck, F., D'Hondt, E., Caeyenberghs, K., Lenoir, M., & Augustijn, M. (2019) · PeerJ · doi:10.7287/peerj.8150v0.1/reviews/2 · Cited by 10
Roberts, J. W., Welsh, T. N., & Wakefield, C. J. (2019) · Behavioural Brain Research · doi:10.1016/j.bbr.2019.111951 · Cited by 11
Age-related reversal of spinal excitability during anticipatory postural control
Hortobágyi, T., van de Waardt, L. E., Tokuno, C., Taube, W., & Papegaaij, S. (2018) · European Journal of Applied Physiology · doi:10.1007/s00421-018-3982-0 · Cited by 10
“Instead of relying on a feedforward mechanism through APAs to correct perturbation-induced movements (Desmurget and Grafton 2000; Fautrelle and Bonnetblanc 2012), older adults tend to use a reactive strategy because the pre-activation of muscles needed to correct the movements is substantially delayed (Aruin and Latas…”
BackgroundEchoes on the motor network: how internal motor control structures afford sensory experience
Burgess, J. D., Lum, J. A. G., Hohwy, J., & Enticott, P. G. (2017) · Brain Structure and Function · doi:10.1007/s00429-017-1484-1 · Cited by 11
Roberts, J., Burkitt, J. J., Elliott, D., & Lyons, J. L. (2016) · Journal of Motor Behavior · doi:10.1080/00222895.2016.1161588 · Cited by 10
“The early impulse regulation modulates limb velocity and direction, and depends on feedforward processes involving a comparison between the predicted and actual sensory consequences (Desmurget & Grafton, 2000; Wolpert, Miall, & Kawato, 1998).”
BackgroundI know what I will see: action-specific motor preparation activity in a passive observation task
Bozzacchi, C., Spinelli, D., Pitzalis, S., Giusti, M. A., & Russo, F. D. (2014) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsu115 · Cited by 17
“An alternative model that integrates the above mechanisms is the ‘forward model’, which assumes that the central nervous system can learn to estimate the sensory outcome of a specific motor commands using an internal simulation (Wolpert and Kawato, 1998; Desmurget and Grafton, 2000) and this prediction is constantly u…”
BackgroundInfluentialA possible correlation between performance IQ, visuomotor adaptation ability and mu suppression
Anwar, M. N., Navid, M. S., Khan, M., & Kitajo, K. (2015) · Brain Research · doi:10.1016/j.brainres.2015.01.045 · Cited by 12
Open loop stable control in repetitive manipulation tasks
Plooij, M., Wolfslag, W., & Wisse, M. (2014) · IEEE International Conference on Robotics and Automation · doi:10.1109/icra.2014.6906968 · Cited by 10
“Humans, on the other hand, use both feedback and feedforward (or open loop) control when controlling their body [1].”
BackgroundEye–hand coordination in on-line visuomotor adjustments
Abekawa, N., Inui, T., & Gomi, H. (2013) · Neuroreport · doi:10.1097/wnr.0000000000000111 · Cited by 10
Yoon, J.-Y., Kang, M.-H., & Oh, J.-S. (2011) · Journal of Physical Therapy Science · doi:10.1589/jpts.23.559 · Cited by 10
Grush, R. (2009) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780195304787.003.0013 · Cited by 10
“…people have been drawn to models of motor control that are open-loop (a closed-loop control scheme with significantly delayed feedback would face significant problems) except for the very end of the movement, where feedback is presumed to be used to make refinements (see Desmurget et al. 2000).”
BackgroundGeneralization of Error Detection across Motor Tasks by Men and Women
Sherwood, D. E. (2008) · Perceptual and Motor Skills · doi:10.2466/pms.106.2.557-572 · Cited by 9
Embodiment and Social Interaction
Lindblom, J. (2015) · Cognitive systems monographs · doi:10.1007/978-3-319-20315-7_4 · Cited by 7
Disorders of the perceptual-motor system.
Jax, S. A., & Coslett, H. (2009) · Advances in Experimental Medicine and Biology · doi:10.1007/978-0-387-77064-2_19 · Cited by 10
“Additional tests of JD emphasize the importance of efference copy and internal models in motor control (e.g., Desmurget & Grafton, 2000; Kawato, 1999; Harris & Wolpert, 1998).”
BackgroundSensorimotor delays constrain robust locomotion in a 3D kinematic model of fly walkingPreprint
Karashchuk, L., Li, J. S., Chou, G. M., Walling-Bell, S., Brunton, S., Tuthill, J. C., & Brunton, B. (2024) · bioRxiv · doi:10.1101/2024.04.18.589965 · Cited by 9
“In biological systems, theoretical studies suggest that some animals use predictive internal models to mitigate the effect of delays (More and Donelan, 2018; Li et al., 2023; Desmurget and Grafton, 2000).”
Cross, K., Cook, D. J., & Scott, S. H. (2024) · eNeuro · doi:10.1523/eneuro.0083-23.2024 · Cited by 9
“…to both sensory modalities (Rizzolatti et al., 1981a,b; Snyder et al., 1998; Bakola et al., 2010; Omrani et al., 2016; Gamberini et al., 2017) and are likely involved with estimating a common limb state (Desmurget and Grafton, 2000; Shadmehr and Krakauer, 2008; Scott, 2012; Takei et al., 2021).”
BackgroundDistinct Neural Components of Visually Guided Grasping during Planning and Execution
Klein, L. K., Maiello, G., Stubbs, K. D., Proklova, D., Chen, J., Paulun, V. C., Culham, J. C., & Fleming, R. W. (2023) · Journal of Neuroscience · doi:10.1523/jneurosci.0335-23.2023 · Cited by 12
“Sensory predictions could then be compared with visual, tactile, and proprioceptive inputs during the grasping phase to facilitate online movement corrections and evaluate the success of the generated motor plan (Desmurget and Grafton, 2000; Wolpert and Ghahramani, 2000; Wolpert et al., 2011).”
BackgroundExploring the effects of degraded vision on sensorimotor performance
Sheppard, W. E. A., Dickerson, P., Baraas, R., Mon-Williams, M., Barrett, B., Wilkie, R., & Coats, R. O. (2021) · PLoS ONE · doi:10.1371/journal.pone.0258678 · Cited by 9
“In terms of predicting the effects of reduced vision on each of our tasks, the targets presented were all comfortably above the visual threshold, so the parsimonious explanation for any reduced performance would be that, whilst binocular summation activates more neurones, creating a stronger neural signal that might b…”
BackgroundOlder adults use a motor plan that is detrimental to endpoint control
Delmas, S., Choi, Y., Komer, M., Weintraub, M., Yacoubi, B., & Christou, E. (2021) · Scientific Reports · doi:10.1038/s41598-021-86959-9 · Cited by 9
“The dependent variables were (1) spatial error, (2) temporal error, (3) spatial variability, (4) temporal variability, (5) EMG burst amplitude, (6) EMG burst time-to-peak amplitude, (7) EMG burst amplitude variability, and (8) EMG burst time-to-peak variability.”
BackgroundSensory features of mental images in the framework of human actions
Krüger, B., Zabicki, A., Grosse, L., Naumann, T., & Munzert, J. (2020) · Consciousness and Cognition · doi:10.1016/j.concog.2020.102970 · Cited by 13
Letter, M. D., Criel, Y., Lind, A., Hartsuiker, R., & Santens, P. (2020) · Brain and Language · doi:10.1016/j.bandl.2020.104813 · Cited by 9
Unconventional tool use in infants: Using a familiar tool in a novel way in the second year of life
Kaur, M., Detherage, A., & Needham, A. (2020) · Cognitive Development · doi:10.1016/j.cogdev.2020.100881 · Cited by 9
Sensory inflow manipulation induces learning-like phenomena in motor behavior
Contemori, S., Dieni, C. V., Sullivan, J., Ferraresi, A., Occhigrossi, C., Calabrese, F., Pettorossi, V., Biscarini, A., & Panichi, R. (2020) · European Journal of Applied Physiology · doi:10.1007/s00421-020-04320-w · Cited by 9
Colino, F. L., Heath, M. D., Hassall, C. D., & Krigolson, O. E. (2020) · Biological Psychology · doi:10.1016/j.biopsycho.2020.107849 · Cited by 10
Neuronal Representation of the Saccadic Timing Signals in Macaque Lateral Intraparietal Area
Zhou, Y., Liu, Y., Wu, S., & Zhang, M. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx166 · Cited by 13
EMG-Torque Dynamics Change With Contraction Bandwidth
Golkar, M. A., Jalaleddini, K., & Kearney, R. (2018) · IEEE transactions on neural systems and rehabilitation engineering · doi:10.1109/tnsre.2018.2805472 · Cited by 9
“strategies to generate rapid reaching movements [48], [49].”
BackgroundCoherence and interlimb force control: Effects of visual gain.
Kang, N., & Cauraugh, J. (2018) · Neuroscience Letters · doi:10.1016/j.neulet.2018.01.019 · Cited by 9
Control of vertical posture while standing on a sliding board and pushing an object
Lee, Y.-J., Chen, B., Liang, J.-N., & Aruin, A. (2018) · Experimental Brain Research · doi:10.1007/s00221-017-5166-2 · Cited by 9
“2009) and feedback mechanisms (Desmurget and Grafton 2000; Lowrey et al. 2017) to maintain and restore equilibrium.”
BackgroundNon-predictive online spatial coding in the posterior parietal cortex when aiming ahead for catching
Reid, S. A., & Dessing, J. (2017) · Scientific Reports · doi:10.1038/s41598-018-26069-1 · Cited by 9
Ludolph, N., Giese, M. A., & Ilg, W. (2017) · Scientific Reports · doi:10.1038/s41598-017-13510-0 · Cited by 7
Blanchard, C., McGlashan, H. L., French, B., Sperring, R. J., Petrocochino, B., & Holmes, N. (2016) · bioRxiv · doi:10.3389/fpsyg.2017.00374 · Cited by 9
“Instead, internal models of the body in the brain allow for ‘forward’ predictions of the likely sensory consequences of ongoing actions so that these likely consequences can be taken into account when correcting movements, in advance of actual feedback (Desmurget and Grafton, 2000).”
Ohta, Y., Nakamoto, H., Ishii, Y., Ikudome, S., Takahashi, K., & Shima, N. (2015) · PLoS ONE · doi:10.1371/journal.pone.0124113 · Cited by 9
“This process is called an internal feedback loop and it enables the rapid correction of an ongoing movement [27, 28].”
BackgroundNatural Geometry in Descartes and Kepler
Hatfield, G. (2015) · doi:10.11612/resphil.2015.92.1.6 · Cited by 9
How we remember what we can do
Declerck, G. (2015) · Socioaffective Neuroscience & Psychology · doi:10.3402/snp.v5.24807 · Cited by 5
“The simulation-based prediction of the consequences of the motor commands makes possible their anticipated adjustment (see e.g. Blakemore, Goodbody, & Wolpert, 1998; Desmurget & Grafton, 2000; Wolpert, Ghahramani, & Jordan, 1995; Wolpert & Kawato, 1998).”
BackgroundOnline kinematic regulation by visual feedback for grasp versus transport during reach-to-pinch
Nataraj, R., Pasluosta, C., & Li, Z.-M. (2014) · Human Movement Science · doi:10.1016/j.humov.2014.05.007 · Cited by 9
“1993), postulates for motor planning (Desmurget and Grafton 2000), and identifying kinematic parameters for movement control objectives (Meyer, Abrams et al.”
BackgroundAccurate planning of manual tracking requires a 3D visuomotor transformation of velocity signals.
Leclercq, G., Blohm, G., & Lefèvre, P. (2012) · Journal of Vision · doi:10.1167/12.5.6 · Cited by 9
de Boer, B. D., Peper, C., & Beek, P. J. (2011) · Behavioural Brain Research · doi:10.1016/j.bbr.2011.01.057 · Cited by 9
“In a feedforward model, continuous comparisons between predicted and actual statesmay yield anticipation of future errors, so that feedback can be used with a negligible delay [46].”
BackgroundTiming and the Control of Rhythmic Upper-Limb Movements
Shafir, T., & Brown, S. H. (2010) · Journal of Motor Behavior · doi:10.1080/00222890903397137 · Cited by 7
“It has been shown that reaching movements are controlled by using both feedforward and feedback loops ( Desmurget & Grafton, 2000 ).”
BackgroundInfluence of visually guided tracking arm movements on single cell activity in area MT
Dannenberg, S., Gieselmann, M. A., Kruse, W., & Hoffmann, K. (2009) · Experimental Brain Research · doi:10.1007/s00221-009-1771-z · Cited by 8
“The feedforward control comprises a rough motor plan and predictions assembled before movement onset which is updated and refined through powerful sensory feedback loops (for reviews see Miall et al. 2001; Desmurget and Grafton 2000).”
BackgroundSequential Processes for Controlling Distance in Multijoint Movements
Schaefer, S. Y., & Sainburg, R. (2008) · Journal of Motor Behavior · doi:10.3200/jmbr.40.4.325-336 · Cited by 9
Mantas, A., Evdokimidis, I., & Smyrnis, N. (2008) · Experimental Brain Research · doi:10.1007/s00221-007-1255-y · Cited by 9
“Since the pioneer work of Woodworth there has been a wealth of evidence for the effects of on line control in reaching and pointing arm movements (Desmurget and Grafton 2000; Elliot et al. 2001).”
BackgroundTzolov, D., Bereuter, J., Geissler, M. E., Geissler, R. B., Krause-Jüttler, G., Weitz, J., Distler, M., Oehme, F., Dix, A., & von Bechtolsheim, F. (2025) · Scientific Reports · doi:10.1038/s41598-025-18862-6 · Cited by 9
“These predictions are compared with actual feedback, allowing for rapid error correction 15–17 .”
Tsay, J. S., Chandy, A. M., Chua, R., Miall, R. C., Cole, J. D., Farnè, A., Ivry, R. B., & Sarlegna, F. R. (2024) · Journal of Neurophysiology · doi:10.1152/jn.00096.2024 · Cited by 17
Absence of Inertial Load on Hand Decreases Task Performance in Virtual Reality Interaction
Tang, M., Liu, X., Dong, Y., Tang, Z., Huo, H., Fan, L., Qiao, X., Chen, D., Wang, J., Du, X., et al. (2023) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2023.2184960 · Cited by 8
“…to this model, goal-directed movements comprise two components: (1) a ballistic component, in which a limb moves an object to the vicinity of a target, followed by (2) a corrective component, in which the limb places the object into the target (Desmurget & Grafton, 2000; Urbin et al., 2011).”
Background
Metadata
- Authors
- Desmurget, M., & Grafton, S.
- Affiliations
- Inserm (FR)
- Dartmouth College (US)
- Corresponding author
- Grafton, Scott
- ORCID
- Grafton, Scott
- Venue
- Trends in Cognitive Sciences
- Publisher
- Elsevier BV
- Published
- 2000-11
- Volume
- 4
- Issue
- 11
- Pages
- 423-431
- ISSN
- 1364-6613 (ISSN-L)
- OpenAlex
- W2084145388
- Cited by
- 1,300
- References
- 62
- Citations by year
- 2026: 24 · 2025: 37 · 2024: 38 · 2023: 40 · 2022: 46 · 2021: 55 · 2020: 46 · 2019: 56 · 2018: 74 · 2017: 64 · 2016: 65 · 2015: 65 · 2014: 80 · 2013: 63 · 2012: 51
- FWCI
- 1.88
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Trends in Cognitive Sciences (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
- Life Sciences › Neuroscience › Cognitive Neuroscience › Embodied and Extended Cognition
- Social Sciences › Psychology › Social Psychology › Action Observation and Synchronization
- Keywords
- forward model, sensorimotor delay, feedback control, reaching movements, motor planning, parietal lobe, cerebellum, motor control, mental time travel
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