Increasing muscle co-contraction speeds up internal model acquisition during dynamic motor learning

[1]  Reza Shadmehr,et al.  The Neural Feedback Response to Error As a Teaching Signal for the Motor Learning System , 2016, The Journal of Neuroscience.

[2]  Reza Shadmehr,et al.  A memory of errors in sensorimotor learning , 2014, Science.

[3]  Yohsuke R. Miyamoto,et al.  Temporal structure of motor variability is dynamically regulated and predicts motor learning ability , 2014, Nature Neuroscience.

[4]  Robert A. Scheidt,et al.  Visuomotor Learning Enhanced by Augmenting Instantaneous Trajectory Error Feedback during Reaching , 2013, PloS one.

[5]  Mollie K. Marko,et al.  Sensitivity to prediction error in reach adaptation. , 2012, Journal of neurophysiology.

[6]  Sae Franklin,et al.  Visuomotor feedback gains upregulate during the learning of novel dynamics , 2012, Journal of neurophysiology.

[7]  Michael S. Brainard,et al.  Covert skill learning in a cortical-basal ganglia circuit , 2012, Nature.

[8]  Helen J. Huang,et al.  Reduction of Metabolic Cost during Motor Learning of Arm Reaching Dynamics , 2012, The Journal of Neuroscience.

[9]  Maurice A. Smith,et al.  The Binding of Learning to Action in Motor Adaptation , 2011, PLoS Comput. Biol..

[10]  S. Vijayakumar,et al.  A Computational Model of Limb Impedance Control Based on Principles of Internal Model Uncertainty , 2010, PloS one.

[11]  R. Trumbower,et al.  Interactions between limb and environmental mechanics influence stretch reflex sensitivity in the human arm. , 2010, Journal of neurophysiology.

[12]  Gary C. Sing,et al.  Primitives for Motor Adaptation Reflect Correlated Neural Tuning to Position and Velocity , 2009, Neuron.

[13]  L. Selen,et al.  Impedance Control Reduces Instability That Arises from Motor Noise , 2009, The Journal of Neuroscience.

[14]  Daniel M. Wolpert,et al.  A modular planar robotic manipulandum with end-point torque control , 2009, Journal of Neuroscience Methods.

[15]  J. A. Pruszynski,et al.  Temporal evolution of "automatic gain-scaling". , 2009, Journal of neurophysiology.

[16]  Elizabeth T Wilson,et al.  Limb stiffness is modulated with spatial accuracy requirements during movement in the absence of destabilizing forces. , 2009, Journal of neurophysiology.

[17]  Konrad Paul Kording,et al.  Relevance of error: what drives motor adaptation? , 2009, Journal of neurophysiology.

[18]  Rieko Osu,et al.  CNS Learns Stable, Accurate, and Efficient Movements Using a Simple Algorithm , 2008, The Journal of Neuroscience.

[19]  D. Ostry,et al.  Muscle cocontraction following dynamics learning , 2008, Experimental Brain Research.

[20]  M. Brainard,et al.  Performance variability enables adaptive plasticity of ‘crystallized’ adult birdsong , 2007, Nature.

[21]  Daniel R Lametti,et al.  Control of movement variability and the regulation of limb impedance. , 2007, Journal of neurophysiology.

[22]  Konrad Paul Kording,et al.  Causal Inference in Multisensory Perception , 2007, PloS one.

[23]  Kurt A. Thoroughman,et al.  Trial-by-trial transformation of error into sensorimotor adaptation changes with environmental dynamics. , 2007, Journal of neurophysiology.

[24]  Rieko Osu,et al.  Endpoint Stiffness of the Arm Is Directionally Tuned to Instability in the Environment , 2007, The Journal of Neuroscience.

[25]  D. Reinkensmeyer,et al.  Motor adaptation to a small force field superimposed on a large background force , 2007, Experimental Brain Research.

[26]  Mark R Hinder,et al.  Position information but not force information is used in adapting to changes in environmental dynamics. , 2006, Journal of neurophysiology.

[27]  David J Reinkensmeyer,et al.  Effect of muscle fatigue on internal model formation and retention during reaching with the arm. , 2006, Journal of applied physiology.

[28]  Iven M. Y. Mareels,et al.  Stability and motor adaptation in human arm movements , 2005, Biological Cybernetics.

[29]  Peter J. Beek,et al.  Can co-activation reduce kinematic variability? A simulation study , 2005, Biological Cybernetics.

[30]  David W Franklin,et al.  Impedance control and internal model use during the initial stage of adaptation to novel dynamics in humans , 2005, The Journal of physiology.

[31]  James R. Lackner,et al.  Adaptation to a novel multi-force environment , 2005, Experimental Brain Research.

[32]  A. Doupe,et al.  Contributions of an avian basal ganglia–forebrain circuit to real-time modulation of song , 2005, Nature.

[33]  M. Kawato,et al.  Optimal impedance control for task achievement in the presence of signal-dependent noise. , 2004, Journal of neurophysiology.

[34]  M. Kawato,et al.  Impedance control balances stability with metabolically costly muscle activation. , 2004, Journal of neurophysiology.

[35]  Konrad Paul Kording,et al.  Bayesian integration in sensorimotor learning , 2004, Nature.

[36]  Rieko Osu,et al.  Different mechanisms involved in adaptation to stable and unstable dynamics. , 2003, Journal of neurophysiology.

[37]  M. Kawato,et al.  Adaptation to Stable and Unstable Dynamics Achieved By Combined Impedance Control and Inverse Dynamics Model , 2003 .

[38]  Reza Shadmehr,et al.  Quantifying Generalization from Trial-by-Trial Behavior of Adaptive Systems that Learn with Basis Functions: Theory and Experiments in Human Motor Control , 2003, The Journal of Neuroscience.

[39]  Scott E. Bevans,et al.  Effect of visual error size on saccade adaptation in monkey. , 2003, Journal of neurophysiology.

[40]  D. Wolpert,et al.  Two Eyes for an Eye: The Neuroscience of Force Escalation , 2003, Science.

[41]  Paul L Gribble,et al.  Role of cocontraction in arm movement accuracy. , 2003, Journal of neurophysiology.

[42]  Rieko Osu,et al.  The central nervous system stabilizes unstable dynamics by learning optimal impedance , 2001, Nature.

[43]  Reza Shadmehr,et al.  Learning of action through adaptive combination of motor primitives , 2000, Nature.

[44]  D. Wolpert,et al.  Why can't you tickle yourself? , 2000, Neuroreport.

[45]  R A Scheidt,et al.  Persistence of motor adaptation during constrained, multi-joint, arm movements. , 2000, Journal of neurophysiology.

[46]  R Shadmehr,et al.  Electromyographic Correlates of Learning an Internal Model of Reaching Movements , 1999, The Journal of Neuroscience.

[47]  D. Wolpert,et al.  Central cancellation of self-produced tickle sensation , 1998, Nature Neuroscience.

[48]  G. Stelmach,et al.  Adaptation to gradual as compared with sudden visuo-motor distortions , 1997, Experimental Brain Research.

[49]  F. Mussa-Ivaldi,et al.  The motor system does not learn the dynamics of the arm by rote memorization of past experience. , 1997, Journal of neurophysiology.

[50]  J. Lackner,et al.  Rapid adaptation to Coriolis force perturbations of arm trajectory. , 1994, Journal of neurophysiology.

[51]  Terence D. Sanger,et al.  Neural network learning control of robot manipulators using gradually increasing task difficulty , 1994, IEEE Trans. Robotics Autom..

[52]  F A Mussa-Ivaldi,et al.  Adaptive representation of dynamics during learning of a motor task , 1994, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[53]  P. Rack,et al.  Task‐dependent changes in the response of human wrist joints to mechanical disturbance. , 1992, The Journal of physiology.

[54]  Neville Hogan,et al.  The mechanics of multi-joint posture and movement control , 1985, Biological Cybernetics.

[55]  R. C. Oldfield.  The assessment and analysis of handedness: the Edinburgh inventory. , 1971, Neuropsychologia.

[56]  M. Kawato,et al.  A hierarchical neural-network model for control and learning of voluntary movement , 2004, Biological Cybernetics.

[57]  Mitsuo Kawato,et al.  Feedback-Error-Learning Neural Network for Supervised Motor Learning , 1990 .

[58]  K. Akazawa,et al.  Modulation of reflex EMG and stiffness in response to stretch of human finger muscle. , 1983, Journal of neurophysiology.