Search Results - Computational Principles of Motor Control and Learning

Robotic neurorehabilitation: a computational motor learning perspective by Huang, Vincent S, Krakauer, John W

“… Robotic neurorehabilitation has the potential for a greater impact on impairment due to easy deployment, its applicability across of a wide range of motor impairment, its high measurement reliability…”
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A spiking neural program for sensorimotor control during foraging in flying insects by Rapp, Hannes, Nawrot, Martin Paul

“… processing, learning, and motor control. We focus on cast and surge strategies employed by flying insects when foraging within turbulent odor plumes…”
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Computational principles of movement neuroscience by Wolpert, Daniel M., Ghahramani, Zoubin

“…Unifying principles of movement have emerged from the computational study of motor control…”
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Cerebellar contributions to motor control and language comprehension: searching for common computational principles by Moberget, Torgeir, Ivry, Richard B.

“…The past 25 years have seen the functional domain of the cerebellum extend beyond the realm of motor control, with considerable discussion of how this subcortical structure contributes to cognitive…”
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A Computational Model of Limb Impedance Control Based on Principles of Internal Model Uncertainty by Mitrovic, Djordje, Klanke, Stefan, Osu, Rieko, Kawato, Mitsuo, Vijayakumar, Sethu

“… While there is much experimental evidence available that the nervous system employs such strategies, no generally-valid computational model of impedance control derived from first principles has been proposed so far…”
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Computational approaches to motor learning by imitation by Schaal, Stefan, Ijspeert, Auke, Billard, Aude

“… previously learned movement, resolution of redundant degrees-of-freedom that are unconstrained by the observation, suitable movement representations for imitation, modularization of motor control, etc…”
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Principles of sensorimotor learning by Wolpert, Daniel M., Diedrichsen, Jörn, Flanagan, J. Randall

“…Key Points Learning movement skills involves a number of interacting components, such as information extraction, decision making, different classes of control, motor learning and its representations…”
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A Modular Dynamic Sensorimotor Model for Affordances Learning, Sequences Planning, and Tool-Use by Braud, Raphael, Pitti, Alexandre, Gaussier, Philippe

“…This paper proposes a computational model for learning robot control and sequence planning based on the ideomotor principle…”
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Optimality Principles in Human Point-to-Manifold Reaching Accounting for Muscle Dynamics by Wochner, Isabell, Driess, Danny, Zimmermann, Heiko, Haeufle, Daniel F. B., Toussaint, Marc, Schmitt, Syn

“… Many researchers hypothesize that through evolution, learning, and adaption, the human system has developed optimal control strategies to select between these possibilities…”
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Adaptation across the 2D population code explains the spatially distributive nature of motor learning by Masselink, Jana, Lappe, Markus

“…In current computational models on oculomotor learning ‘the’ movement vector is adapted in response to targeting errors…”
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Reinforcement Learning or Active Inference? by Friston, Karl J., Daunizeau, Jean, Kiebel, Stefan J.

“…This paper questions the need for reinforcement learning or control theory when optimising behaviour…”
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Model-Free Robust Optimal Feedback Mechanisms of Biological Motor Control by Bian, Tao, Wolpert, Daniel M, Jiang, Zhong-Ping

“… Nevertheless, the central nervous system (CNS) can gracefully coordinate our movements. Most learning frameworks rely on the internal model principle, which requires…”
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Goal-related feedback guides motor exploration and redundancy resolution in human motor skill acquisition by Rohde, Marieke, Narioka, Kenichi, Steil, Jochen J., Klein, Lina K., Ernst, Marc O.

“… is underdetermined because a goal can often be achieved by many different movements (motor redundancy). How humans learn to resolve motor redundancy and by which principles they explore high-dimensional motor spaces has hardly been investigated…”
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Modular Learning Systems for Continual Control: Neural Principles and Computational Models by Amematsro, Elom A

“…: A Framework for Motor Control introduces a probabilistic framework for motor control that unifies principles from optimal feedback control and dynamical systems theory…”
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Analogous computations in working memory input, output and motor gating: Electrophysiological and computational modeling evidence by Rac-Lubashevsky, Rachel, Frank, Michael J.

“…), from working-memory (output gating), and of responses (motor gating) and tested the neural dynamics and computational principles that support…”
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The Concept of Transmission Coefficient Among Different Cerebellar Layers: A Computational Tool for Analyzing Motor Learning by Solouki, Saeed, Bahrami, Fariba, Janahmadi, Mahyar

“…High-fidelity regulation of information transmission among cerebellar layers is mainly provided by synaptic plasticity. Therefore, determining the regulatory…”
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Action and behavior: a free-energy formulation by Friston, Karl J, Daunizeau, Jean, Kilner, James, Kiebel, Stefan J

“…We have previously tried to explain perceptual inference and learning under a free-energy principle that pursues Helmholtz's agenda to understand the brain in terms of energy minimization…”
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A neural active inference model of perceptual-motor learning by Yang, Zhizhuo, Diaz, Gabriel J., Fajen, Brett R., Bailey, Reynold, Ororbia, Alexander G.

“…The active inference framework (AIF) is a promising new computational framework grounded in contemporary neuroscience that can produce human-like behavior through reward-based learning…”
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Inference of affordances and active motor control in simulated agents by Scholz, Fedor, Gumbsch, Christian, Otte, Sebastian, Butz, Martin V.

“…Flexible, goal-directed behavior is a fundamental aspect of human life. Based on the free energy minimization principle, the theory of active inference…”
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Learned graphical models for probabilistic planning provide a new class of movement primitives by Rückert, Elmar A., Neumann, Gerhard, Toussaint, Marc, Maass, Wolfgang

“… A common approach to motor skill learning is to endow the primitives with dynamical systems…”
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