Modeling sensorimotor learning with linear dynamical systems
about
Reactivation, replay, and preplay: how it might all fit togetherThe role of auditory feedback in music-supported stroke rehabilitation: A single-blinded randomised controlled intervention.How does our motor system determine its learning rate?Development of a Portable Motor Learning Laboratory (PoMLab).Limited Plasticity of Prismatic Visuomotor Adaptation.Similarities in error processing establish a link between saccade prediction at baseline and adaptation performance.Characteristics of Implicit Sensorimotor Adaptation Revealed by Task-irrelevant Clamped Feedback.Exploring the fundamental dynamics of error-based motor learning using a stationary predictive-saccade task.Motor variability arises from a slow random walk in neural state.Learning on multiple timescales in smooth pursuit eye movements.Dynamic sensorimotor planning during long-term sequence learning: the role of variability, response chunking and planning errors.Encoding of sensory prediction errors in the human cerebellum.How each movement changes the next: an experimental and theoretical study of fast adaptive priors in reaching.Secondary adaptation of memory-guided saccadesTask goals influence online corrections and adaptation of reaching movementsLaterality Differences in Cerebellar-Motor Cortex ConnectivityA memory of errors in sensorimotor learning.Neural coordination during reach-to-grasp.Noise Induces Biased Estimation of the Correction Gain.Neural substrates of visuomotor learning based on improved feedback control and prediction.A long-memory model of motor learning in the saccadic system: a regime-switching approach.Individuals with cerebellar degeneration show similar adaptation deficits with large and small visuomotor errors.Calibration of visually guided reaching is driven by error-corrective learning and internal dynamics.The dynamics of memory as a consequence of optimal adaptation to a changing body.Explaining savings for visuomotor adaptation: linear time-invariant state-space models are not sufficient.Unlearning versus savings in visuomotor adaptation: comparing effects of washout, passage of time, and removal of errors on motor memory.Decay of motor memories in the absence of errorTaking Aim at the Cognitive Side of Learning in Sensorimotor Adaptation Tasks.Obligatory adaptation of saccade gains.Sensitivity to prediction error in reach adaptation.Adaptation to visuomotor rotation through interaction between posterior parietal and motor cortical areas.The role of strategies in motor learningNeuromotor recovery from stroke: computational models at central, functional, and muscle synergy level.Uncertainty of feedback and state estimation determines the speed of motor adaptation.Excessive Sensitivity to Uncertain Visual Input in L-DOPA-Induced Dyskinesias in Parkinson's Disease: Further Implications for Cerebellar Involvement.Saccadic adaptation to a systematically varying disturbance.The statistical determinants of adaptation rate in human reaching.Design and analysis of closed-loop decoder adaptation algorithms for brain-machine interfaces.Estimating properties of the fast and slow adaptive processes during sensorimotor adaptation.The Structure and Acquisition of Sensorimotor Maps.
P2860
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P2860
Modeling sensorimotor learning with linear dynamical systems
description
2006 nî lūn-bûn
@nan
2006年の論文
@ja
2006年論文
@yue
2006年論文
@zh-hant
2006年論文
@zh-hk
2006年論文
@zh-mo
2006年論文
@zh-tw
2006年论文
@wuu
2006年论文
@zh
2006年论文
@zh-cn
name
Modeling sensorimotor learning with linear dynamical systems
@en
type
label
Modeling sensorimotor learning with linear dynamical systems
@en
prefLabel
Modeling sensorimotor learning with linear dynamical systems
@en
P2860
P1433
P1476
Modeling sensorimotor learning with linear dynamical systems
@en
P2093
Philip N Sabes
P2860
P304
P356
10.1162/NECO.2006.18.4.760
P577
2006-04-01T00:00:00Z