The remapping of space in motor learning and human-machine interfaces.

about

Creating new functional circuits for action via brain-machine interfaces Rapid control and feedback rates enhance neuroprosthetic control Movement distributions of stroke survivors exhibit distinct patterns that evolve with training Sensory motor remapping of space in human-machine interfaces.

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P2860

The remapping of space in motor learning and human-machine interfaces.

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http://www.wikidata.org/entity/Q41863328

description

2009 nî lūn-bûn

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2009年の論文

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2009年論文

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2009年論文

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2009年論文

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2009年論文

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2009年論文

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2009年论文

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2009年论文

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2009年论文

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name

The remapping of space in motor learning and human-machine interfaces.

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type

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The remapping of space in motor learning and human-machine interfaces.

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The remapping of space in motor learning and human-machine interfaces.

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P1476

The remapping of space in motor learning and human-machine interfaces.

@en

P2093

F A Mussa-Ivaldi

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P2860

The uncontrolled manifold concept: identifying control variables for a functional task

The coordination of arm movements: an experimentally confirmed mathematical model

Neuronal ensemble control of prosthetic devices by a human with tetraplegia

Spatial control of arm movements.

Independent learning of internal models for kinematic and dynamic control of reaching

Direct cortical control of 3D neuroprosthetic devices.

Adequacy of power wheelchair control interfaces for persons with severe disabilities: a clinical survey.

Motor control strategies revealed in the structure of motor variability.

Optimal feedback control as a theory of motor coordination.

Neural correlates of motor memory consolidation.

P304

263-275

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scholarly article

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10.1016/J.JPHYSPARIS.2009.08.009

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3-5

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103

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Zachary C Danziger

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2009-08-07T00:00:00Z

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26727433

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19665553

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P921

machine learning

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2771216

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The remapping of space in motor learning and human-machine interfaces.

about

P2860

P2860

The remapping of space in motor learning and human-machine interfaces.

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type

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P2860

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