Linear hypergeneralization of learned dynamics across movement speeds reveals anisotropic, gain-encoding primitives for motor adaptation.
about
Paradoxical benefits of dual-task contexts for visuomotor memoryTemporal structure of motor variability is dynamically regulated and predicts motor learning ability.Using dual tasks to test immediate transfer of training between naturalistic movements: a proof-of-principle study.Gone in 0.6 seconds: the encoding of motor memories depends on recent sensorimotor states.The decay of motor adaptation to novel movement dynamics reveals an asymmetry in the stability of motion state-dependent learningLearning multiple variable-speed sequences in striatum via cortical tutoringThe binding of learning to action in motor adaptation.Motor memory is encoded as a gain-field combination of intrinsic and extrinsic action representations.Flexible Control of Safety Margins for Action Based on Environmental VariabilityThe generalization of visuomotor learning to untrained movements and movement sequences based on movement vector and goal location remappingThe Decay of Motor Memories Is Independent of Context Change DetectionHow is a motor skill learned? Change and invariance at the levels of task success and trajectory controlAdaptation to sequence force perturbation during vertical and horizontal reaching movement-averaging the past or predicting the future?The training schedule affects the stability, not the magnitude, of the interlimb transfer of learned dynamics.Temporal specificity of the initial adaptive response in motor adaptation.The temporal stability of visuomotor adaptation generalization.The absence or temporal offset of visual feedback does not influence adaptation to novel movement dynamics.Limb motion dictates how motor learning arises from arbitrary environmental dynamics.Representing delayed force feedback as a combination of current and delayed states.Unmasking the linear behaviour of slow motor adaptation to prolonged convergence.
P2860
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P2860
Linear hypergeneralization of learned dynamics across movement speeds reveals anisotropic, gain-encoding primitives for motor adaptation.
description
2010 nî lūn-bûn
@nan
2010 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Linear hypergeneralization of ...... imitives for motor adaptation.
@ast
Linear hypergeneralization of ...... imitives for motor adaptation.
@en
Linear hypergeneralization of ...... imitives for motor adaptation.
@nl
type
label
Linear hypergeneralization of ...... imitives for motor adaptation.
@ast
Linear hypergeneralization of ...... imitives for motor adaptation.
@en
Linear hypergeneralization of ...... imitives for motor adaptation.
@nl
prefLabel
Linear hypergeneralization of ...... imitives for motor adaptation.
@ast
Linear hypergeneralization of ...... imitives for motor adaptation.
@en
Linear hypergeneralization of ...... imitives for motor adaptation.
@nl
P2093
P2860
P356
P1476
Linear hypergeneralization of ...... rimitives for motor adaptation
@en
P2093
Maurice A Smith
Obafunso Ajayi
Wilsaan M Joiner
P2860
P356
10.1152/JN.00884.2009
P407
P50
P577
2010-09-29T00:00:00Z