The human motor system alters its reaching movement plan for task-irrelevant, positional forces.
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[1] N. A. Bernshteĭn. The co-ordination and regulation of movements , 1967 .
[2] References , 1971 .
[3] P. Taylor,et al. Test of optimal sampling by foraging great tits , 1978 .
[4] N. Hogan. Adaptive control of mechanical impedance by coactivation of antagonist muscles , 1984 .
[5] T. Flash,et al. The coordination of arm movements: an experimentally confirmed mathematical model , 1985, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[6] Sebastian Thrun,et al. Efficient Exploration In Reinforcement Learning , 1992 .
[7] 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.
[8] Daniel M. Wolpert,et al. Making smooth moves , 2022 .
[9] Michael I. Jordan,et al. Smoothness maximization along a predefined path accurately predicts the speed profiles of complex arm movements. , 1998, Journal of neurophysiology.
[10] Gregor Schöner,et al. The uncontrolled manifold concept: identifying control variables for a functional task , 1999, Experimental Brain Research.
[11] J. Biesmeijer,et al. Exploration and exploitation of food sources by social insect colonies: a revision of the scout-recruit concept , 2001, Behavioral Ecology and Sociobiology.
[12] D. Domkin,et al. Structure of joint variability in bimanual pointing tasks , 2002, Experimental Brain Research.
[13] Kelvin E. Jones,et al. Sources of signal-dependent noise during isometric force production. , 2002, Journal of neurophysiology.
[14] Michael I. Jordan,et al. Optimal feedback control as a theory of motor coordination , 2002, Nature Neuroscience.
[15] E. Todorov. Optimality principles in sensorimotor control , 2004, Nature Neuroscience.
[16] Mark L. Latash,et al. Joint angle variability in 3D bimanual pointing: uncontrolled manifold analysis , 2005, Experimental Brain Research.
[17] J. Scholz,et al. Learning a throwing task is associated with differential changes in the use of motor abundance , 2005, Experimental Brain Research.
[18] Richard S. Sutton,et al. Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.
[19] Jesse Hoey,et al. An analytic solution to discrete Bayesian reinforcement learning , 2006, ICML.
[20] Mark L. Latash,et al. The role of kinematic redundancy in adaptation of reaching , 2006, Experimental Brain Research.
[21] Marc Mangel,et al. Exploration or exploitation: life expectancy changes the value of learning in foraging strategies , 2007 .
[22] Rieko Osu,et al. Endpoint Stiffness of the Arm Is Directionally Tuned to Instability in the Environment , 2007, The Journal of Neuroscience.
[23] Emanuel Todorov,et al. Evidence for the Flexible Sensorimotor Strategies Predicted by Optimal Feedback Control , 2007, The Journal of Neuroscience.
[24] Gregor Schöner,et al. Toward a new theory of motor synergies. , 2007, Motor control.
[25] I. Iheanacho. Exploration or exploitation? , 2007, BMJ : British Medical Journal.
[26] A. Faisal,et al. Noise in the nervous system , 2008, Nature Reviews Neuroscience.
[27] P. Filzmoser,et al. Statistical Data Analysis Explained , 2008 .
[28] Clemens Reimann,et al. Statistical data analysis explained : applied environmental statics with R , 2008 .
[29] Emanuel Todorov,et al. Structured variability of muscle activations supports the minimal intervention principle of motor control. , 2009, Journal of neurophysiology.
[30] Olivier White,et al. Use-Dependent and Error-Based Learning of Motor Behaviors , 2010, The Journal of Neuroscience.
[31] Reza Shadmehr,et al. Learning from Sensory and Reward Prediction Errors during Motor Adaptation , 2011, PLoS Comput. Biol..
[32] Mark L. Latash,et al. The bliss (not the problem) of motor abundance (not redundancy) , 2012, Experimental Brain Research.
[33] Robert J. van Beers,et al. How Does Our Motor System Determine Its Learning Rate? , 2012, PloS one.
[34] Robert J. van Beers,et al. How does our motor system determine its learning rate , 2012 .
[35] Kurt A. Thoroughman,et al. Beside the point: motor adaptation without feedback-based error correction in task-irrelevant conditions. , 2012, Journal of neurophysiology.
[36] Stephen H Scott,et al. Influence of the behavioral goal and environmental obstacles on rapid feedback responses. , 2012, Journal of neurophysiology.
[37] Ramesh Balasubramaniam,et al. Multijoint error compensation mediates unstable object control. , 2012, Journal of neurophysiology.
[38] Aymar de Rugy,et al. Muscle Coordination Is Habitual Rather than Optimal , 2012, The Journal of Neuroscience.
[39] Eli Brenner,et al. Random walk of motor planning in task-irrelevant dimensions. , 2013, Journal of neurophysiology.
[40] Jean-Jacques Orban de Xivry. Trial-to-trial reoptimization of motor behavior due to changes in task demands is limited. , 2013 .
[41] J. O. de Xivry. Trial-to-Trial Reoptimization of Motor Behavior Due to Changes in Task Demands Is Limited , 2013, PLoS ONE.
[42] Yohsuke R. Miyamoto,et al. Temporal structure of motor variability is dynamically regulated and predicts motor learning ability , 2014, Nature Neuroscience.
[43] Frédéric Crevecoeur,et al. Rapid Online Selection between Multiple Motor Plans , 2014, The Journal of Neuroscience.