Perspectives and problems in motor learning.

By D. M. Wolpert, Zoubin Ghahramani, J. Flanagan. Trends in Cognitive Sciences, 2001

710 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Cognitive Neuroscience, Social Psychology

View Paper: https://www.semanticscholar.org/paper/9481a6510c7a270613b86df86b39eb6db1ec2477

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Citations in the corpus

Toward a new theory of motor synergies. (2007, background): “The theoretical setting for such work has been that of learning as the elaboration of new or the refinement of existing internal models (Wolpert et al., 2001; Shadmehr, 2004).”
The emulation theory of representation: Motor control, imagery, and perception (2004, background): “Daniel Wolpert and others (Wolpert et al, 2001) reviews a range of neurophysiological evidence that also implicates the cerebellum.”
Augmented visual, auditory, haptic, and multimodal feedback in motor learning: A review (2012, neutral): “…feedback (Feygin et al., 2002; Flash & Hogan, 1985; Marchal-Crespo & Reinkensmeyer, 2008b; Reinkensmeyer et al., 2004; Reinkensmeyer & Patton, 2009; Wolpert, Ghahramani, & Flanagan, 2001), and human motor control (Feygin et al., 2002; Flash & Hogan, 1985; Haruno, Wolpert, & Kawato, 2001; Todorov,…”
Body schema and body image--pros and cons. (2010, positive): “In the computational framework, the motor system uses two types of internal models: the inverse model and the forward model (Wolpert, Ghahramani, & Flanagan, 2001).”
Unstable or Insufficiently Activated Internal Models and Feedback-Biased Motor Control as Sources of Dysfluency: A Theoretical Model of Stuttering (2004, background): “…to make such predictions, the controller has access to a forward internal model that can be used to evaluate the efference copy (Bhushan & Shadmehr, 1999; Blakemore et al., 2001; Desmurget & Grafton, 2000; Flanagan & Wing, 1997; Mehta & Schaal, 2002; Wolpert & Miall, 1996; Wolpert et al., 2001).”
Goal Babbling Permits Direct Learning of Inverse Kinematics (2010, background): “The ability to learn control from scratch also allows us to master the change induced by body growth and to learn more complex tasks like writing or riding a bicycle [1].”
The mirror neuron system and the consequences of its dysfunction (2006, background): “Its functional significance might be related to the higher needs during imitation to predict the sensory consequences of one's motor output, in order to match the movement of the model to be imitated (what is known as a forward model”
Eye–hand coordination in a sequential target contact task (2009, background): “If mismatches between predicted and actual sensory information are detected, the sensorimotor system can take corrective actions and update representations of objects in the environment so as to improve future control and prediction (Flanagan et al. 2006; Johansson and Flanagan 2007; Land et al. 199”
A theory for how sensorimotor skills are learned and retained in noisy and nonstationary neural circuits (2013, background): “To learn a set of sensorimotor skills, the network must simultaneously learn multiple associations in the form of a nonlinear functional map (5, 6),”