Within movement adjustments of internal representations during reaching (Crevecoeur et al 2020)


Crevecoeur F, Thonnard JL, Lefèvre P. (2020). A Very Fast Time Scale of Human Motor Adaptation: Within Movement Adjustments of Internal Representations during Reaching. eNeuro. 7 [PubMed]

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References and models cited by this paper

. (2015). Erratum: Borderud SP, Li Y, Burkhalter JE, Sheffer CE and Ostroff JS. Electronic cigarette use among patients with cancer: Characteristics of electronic cigarette users and their smoking cessation outcomes. Cancer. doi: 10.1002/ cncr.28811. Cancer. 121 [PubMed]

Addou T, Krouchev N, Kalaska JF. (2011). Colored context cues can facilitate the ability to learn and to switch between multiple dynamical force fields. Journal of neurophysiology. 106 [PubMed]

Astrom KJ. (1970). Introduction to stochastic control theory..

Brashers-Krug T, Shadmehr R, Bizzi E. (1996). Consolidation in human motor memory. Nature. 382 [PubMed]

Braun DA, Aertsen A, Wolpert DM, Mehring C. (2009). Learning optimal adaptation strategies in unpredictable motor tasks. The Journal of neuroscience : the official journal of the Society for Neuroscience. 29 [PubMed]

Burdet E, Osu R, Franklin DW, Milner TE, Kawato M. (2001). The central nervous system stabilizes unstable dynamics by learning optimal impedance. Nature. 414 [PubMed]

Burdet E et al. (2000). A method for measuring endpoint stiffness during multi-joint arm movements. Journal of biomechanics. 33 [PubMed]

Caithness G et al. (2004). Failure to consolidate the consolidation theory of learning for sensorimotor adaptation tasks. The Journal of neuroscience : the official journal of the Society for Neuroscience. 24 [PubMed]

Cluff T, Scott SH. (2013). Rapid feedback responses correlate with reach adaptation and properties of novel upper limb loads. The Journal of neuroscience : the official journal of the Society for Neuroscience. 33 [PubMed]

Coltman SK, Cashaback JGA, Gribble PL. (2019). Both fast and slow learning processes contribute to savings following sensorimotor adaptation. Journal of neurophysiology. 121 [PubMed]

Crevecoeur F, Kurtzer I. (2018). Long-latency reflexes for inter-effector coordination reflect a continuous state feedback controller. Journal of neurophysiology. 120 [PubMed]

Crevecoeur F, Kurtzer I, Scott SH. (2012). Fast corrective responses are evoked by perturbations approaching the natural variability of posture and movement tasks. Journal of neurophysiology. 107 [PubMed]

Crevecoeur F, Scott SH. (2013). Priors engaged in long-latency responses to mechanical perturbations suggest a rapid update in state estimation. PLoS computational biology. 9 [PubMed]

Crevecoeur F, Scott SH. (2014). Beyond muscles stiffness: importance of state-estimation to account for very fast motor corrections. PLoS computational biology. 10 [PubMed]

Crevecoeur F, Scott SH, Cluff T. (2019). Robust control in human reaching movements: a model-free strategy to compensate for unpredictable disturbances. The Journal of neuroscience : the official journal of the Society for Neuroscience. 39 [PubMed]

Dayan E, Cohen LG. (2011). Neuroplasticity subserving motor skill learning. Neuron. 72 [PubMed]

Diedrichsen J. (2007). Optimal task-dependent changes of bimanual feedback control and adaptation. Current biology : CB. 17 [PubMed]

Diedrichsen J, White O, Newman D, Lally N. (2010). Use-dependent and error-based learning of motor behaviors. The Journal of neuroscience : the official journal of the Society for Neuroscience. 30 [PubMed]

Fortney K, Tweed DB. (2012). Computational advantages of reverberating loops for sensorimotor learning. Neural computation. 24 [PubMed]

Franklin DW, Wolpert DM. (2011). Computational mechanisms of sensorimotor control. Neuron. 72 [PubMed]

Gandolfo F, Mussa-Ivaldi FA, Bizzi E. (1996). Motor learning by field approximation. Proceedings of the National Academy of Sciences of the United States of America. 93 [PubMed]

Gonzalez Castro LN, Hadjiosif AM, Hemphill MA, Smith MA. (2014). Environmental consistency determines the rate of motor adaptation. Current biology : CB. 24 [PubMed]

Haruno M, Wolpert DM, Kawato M. (2001). Mosaic model for sensorimotor learning and control. Neural computation. 13 [PubMed]

Hinton GE, Ghahramani Z. (1996). Parameter estimation for linear dynamical systems Tech Rep No CRG-TR-96-2.

Hirashima M, Nozaki D. (2012). Distinct motor plans form and retrieve distinct motor memories for physically identical movements. Current biology : CB. 22 [PubMed]

Hore J, Flament D. (1988). Changes in motor cortex neural discharge associated with the development of cerebellar limb ataxia. Journal of neurophysiology. 60 [PubMed]

Howard IS, Ingram JN, Franklin DW, Wolpert DM. (2012). Gone in 0.6 seconds: the encoding of motor memories depends on recent sensorimotor states. The Journal of neuroscience : the official journal of the Society for Neuroscience. 32 [PubMed]

Hwang EJ, Donchin O, Smith MA, Shadmehr R. (2003). A gain-field encoding of limb position and velocity in the internal model of arm dynamics. PLoS biology. 1 [PubMed]

Izawa J, Rane T, Donchin O, Shadmehr R. (2008). Motor adaptation as a process of reoptimization. The Journal of neuroscience : the official journal of the Society for Neuroscience. 28 [PubMed]

Kaufman MT, Churchland MM, Ryu SI, Shenoy KV. (2014). Cortical activity in the null space: permitting preparation without movement. Nature neuroscience. 17 [PubMed]

Kording KP, Tenenbaum JB, Shadmehr R. (2007). The dynamics of memory as a consequence of optimal adaptation to a changing body. Nature neuroscience. 10 [PubMed]

Krakauer JW, Ghilardi MF, Ghez C. (1999). Independent learning of internal models for kinematic and dynamic control of reaching. Nature neuroscience. 2 [PubMed]

Krakauer JW, Shadmehr R. (2006). Consolidation of motor memory. Trends in neurosciences. 29 [PubMed]

Kurtzer IL, Pruszynski JA, Scott SH. (2008). Long-latency reflexes of the human arm reflect an internal model of limb dynamics. Current biology : CB. 18 [PubMed]

Lackner JR, DiZio P. (2005). Motor control and learning in altered dynamic environments. Current opinion in neurobiology. 15 [PubMed]

Lackner JR, Dizio P. (1994). Rapid adaptation to Coriolis force perturbations of arm trajectory. Journal of neurophysiology. 72 [PubMed]

Laird NM, Ware JH. (1982). Random-effects models for longitudinal data. Biometrics. 38 [PubMed]

Lakens D. (2013). Calculating and reporting effect sizes to facilitate cumulative science: a practical primer for t-tests and ANOVAs. Frontiers in psychology. 4 [PubMed]

Liang C, Li Y, Luo J. (2016). A Novel Method to Detect Functional microRNA Regulatory Modules by Bicliques Merging. IEEE/ACM transactions on computational biology and bioinformatics. 13 [PubMed]

Liu D, Todorov E. (2007). Evidence for the flexible sensorimotor strategies predicted by optimal feedback control. The Journal of neuroscience : the official journal of the Society for Neuroscience. 27 [PubMed]

Milner TE, Franklin DW. (2005). Impedance control and internal model use during the initial stage of adaptation to novel dynamics in humans. The Journal of physiology. 567 [PubMed]

Nashed JY, Crevecoeur F, Scott SH. (2012). Influence of the behavioral goal and environmental obstacles on rapid feedback responses. Journal of neurophysiology. 108 [PubMed]

Nguyen KP et al. (2019). The 24-h savings of adaptation to novel movement dynamics initially reflects the recall of previous performance. Journal of neurophysiology. 122 [PubMed]

Omrani M, Murnaghan CD, Pruszynski JA, Scott SH. (2016). Distributed task-specific processing of somatosensory feedback for voluntary motor control. eLife. 5 [PubMed]

Osu R, Hirai S, Yoshioka T, Kawato M. (2004). Random presentation enables subjects to adapt to two opposing forces on the hand. Nature neuroscience. 7 [PubMed]

Overduin SA, Richardson AG, Lane CE, Bizzi E, Press DZ. (2006). Intermittent practice facilitates stable motor memories. The Journal of neuroscience : the official journal of the Society for Neuroscience. 26 [PubMed]

Perich MG, Gallego JA, Miller LE. (2018). A Neural Population Mechanism for Rapid Learning. Neuron. 100 [PubMed]

Pruszynski JA et al. (2011). Primary motor cortex underlies multi-joint integration for fast feedback control. Nature. 478 [PubMed]

Raymond JL, Medina JF. (2018). Computational Principles of Supervised Learning in the Cerebellum. Annual review of neuroscience. 41 [PubMed]

Scheidt RA, Dingwell JB, Mussa-Ivaldi FA. (2001). Learning to move amid uncertainty. Journal of neurophysiology. 86 [PubMed]

Scott SH. (2016). A Functional Taxonomy of Bottom-Up Sensory Feedback Processing for Motor Actions. Trends in neurosciences. 39 [PubMed]

Shadmehr R, Brashers-Krug T. (1997). Functional stages in the formation of human long-term motor memory. The Journal of neuroscience : the official journal of the Society for Neuroscience. 17 [PubMed]

Shadmehr R, Smith MA, Krakauer JW. (2010). Error correction, sensory prediction, and adaptation in motor control. Annual review of neuroscience. 33 [PubMed]

Sheahan HR, Franklin DW, Wolpert DM. (2016). Motor Planning, Not Execution, Separates Motor Memories. Neuron. 92 [PubMed]

Singh K, Scott SH. (2003). A motor learning strategy reflects neural circuitry for limb control. Nature neuroscience. 6 [PubMed]

Smith MA, Ghazizadeh A, Shadmehr R. (2006). Interacting adaptive processes with different timescales underlie short-term motor learning. PLoS biology. 4 [PubMed]

Stavisky SD, Kao JC, Ryu SI, Shenoy KV. (2017). Motor Cortical Visuomotor Feedback Activity Is Initially Isolated from Downstream Targets in Output-Null Neural State Space Dimensions. Neuron. 95 [PubMed]

Sun J, Ioannou P. (1996). Robust adaptive control.

Thoroughman KA, Shadmehr R. (2000). Learning of action through adaptive combination of motor primitives. Nature. 407 [PubMed]

Todorov E. (2005). Stochastic optimal control and estimation methods adapted to the noise characteristics of the sensorimotor system. Neural computation. 17 [PubMed]

Todorov E, Jordan MI. (2002). Optimal feedback control as a theory of motor coordination. Nature neuroscience. 5 [PubMed]

Wada Y et al. (2003). Acquisition and contextual switching of multiple internal models for different viscous force fields. Neuroscience research. 46 [PubMed]

Wagner MJ, Smith MA. (2008). Shared internal models for feedforward and feedback control. The Journal of neuroscience : the official journal of the Society for Neuroscience. 28 [PubMed]

Wei K, Körding K. (2010). Uncertainty of feedback and state estimation determines the speed of motor adaptation. Frontiers in computational neuroscience. 4 [PubMed]

Wolpert DM, Diedrichsen J, Flanagan JR. (2011). Principles of sensorimotor learning. Nature reviews. Neuroscience. 12 [PubMed]

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