Environmental Consistency Determines the Rate of Motor Adaptation

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

[2]  C Ghez,et al.  Learning of Visuomotor Transformations for Vectorial Planning of Reaching Trajectories , 2000, The Journal of Neuroscience.

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

[4]  R A Scheidt,et al.  Impedance control and internal model formation when reaching in a randomly varying dynamical environment. , 2001, Journal of neurophysiology.

[5]  T. Başar,et al.  A New Approach to Linear Filtering and Prediction Problems , 2001 .

[6]  M. Mauk,et al.  A Mechanism for Savings in the Cerebellum , 2001, The Journal of Neuroscience.

[7]  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.

[8]  G. Kwakkel,et al.  Probability of regaining dexterity in the flaccid upper limb: impact of severity of paresis and time since onset in acute stroke. , 2003, Stroke.

[9]  R C Miall,et al.  System Identification Applied to a Visuomotor Task: Near-Optimal Human Performance in a Noisy Changing Task , 2003, The Journal of Neuroscience.

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

[11]  G. Kwakkel,et al.  Understanding the pattern of functional recovery after stroke: facts and theories. , 2004, Restorative neurology and neuroscience.

[12]  Kaoru Yoshida,et al.  Memory of Learning Facilitates Saccadic Adaptation in the Monkey , 2004, The Journal of Neuroscience.

[13]  Daniel M Wolpert,et al.  Bayesian integration in force estimation. , 2004, Journal of neurophysiology.

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

[15]  Kurt A. Thoroughman,et al.  Rapid Reshaping of Human Motor Generalization , 2005, The Journal of Neuroscience.

[16]  R. Shadmehr,et al.  Intact ability to learn internal models of arm dynamics in Huntington's disease but not cerebellar degeneration. , 2005, Journal of neurophysiology.

[17]  K. Fujii,et al.  Visualization for the analysis of fluid motion , 2005, J. Vis..

[18]  J. Krakauer.  Motor learning: its relevance to stroke recovery and neurorehabilitation. , 2006, Current opinion in neurology.

[19]  R. Shadmehr,et al.  Interacting Adaptive Processes with Different Timescales Underlie Short-Term Motor Learning , 2006, PLoS biology.

[20]  Nao Ninomiya,et al.  The 10th anniversary of journal of visualization , 2007, J. Vis..

[21]  Norio Izumi,et al.  Broadening the visualization frontier , 2007, J. Vis..

[22]  Konrad Paul Kording,et al.  The dynamics of memory as a consequence of optimal adaptation to a changing body , 2007, Nature Neuroscience.

[23]  M. Ernst,et al.  The statistical determinants of adaptation rate in human reaching. , 2008, Journal of vision.

[24]  Wilsaan M. Joiner,et al.  Long-term retention explained by a model of short-term learning in the adaptive control of reaching. , 2008, Journal of neurophysiology.

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

[26]  J. Krakauer,et al.  Explaining savings for visuomotor adaptation: linear time-invariant state-space models are not sufficient. , 2008, Journal of neurophysiology.

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

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

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

[30]  Konrad Paul Kording,et al.  Learning Priors for Bayesian Computations in the Nervous System , 2010, PloS one.

[31]  Aaron R. Seitz,et al.  Rapidly learned stimulus expectations alter perception of motion. , 2010, Journal of vision.

[32]  Konrad P. Körding,et al.  Uncertainty of Feedback and State Estimation Determines the Speed of Motor Adaptation , 2009, Front. Comput. Neurosci..

[33]  Gary C. Sing,et al.  Reduction in Learning Rates Associated with Anterograde Interference Results from Interactions between Different Timescales in Motor Adaptation , 2010, PLoS Comput. Biol..

[34]  David C Knill,et al.  Adapting internal statistical models for interpreting visual cues to depth. , 2010, Journal of vision.

[35]  R. Kaiser,et al.  Antiretroviral Therapy Optimisation without Genotype Resistance Testing: A Perspective on Treatment History Based Models , 2010, PloS one.

[36]  Amy J Bastian,et al.  Motor Adaptation Training for Faster Relearning , 2011, The Journal of Neuroscience.

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

[38]  Vincent S. Huang,et al.  Rethinking Motor Learning and Savings in Adaptation Paradigms: Model-Free Memory for Successful Actions Combines with Internal Models , 2011, Neuron.

[39]  Robert J. van Beers,et al.  How does our motor system determine its learning rate , 2012 .

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

[41]  Jörn Diedrichsen,et al.  Structural learning in feedforward and feedback control. , 2012, Journal of neurophysiology.

[42]  Wilsaan M Joiner,et al.  The training schedule affects the stability, not the magnitude, of the interlimb transfer of learned dynamics. , 2013, Journal of neurophysiology.

[43]  Gary C. Sing,et al.  Limb motion dictates how motor learning arises from arbitrary environmental dynamics. , 2013, Journal of neurophysiology.