An optimal state estimation model of sensory integration in human postural balance.
about
Sensory synergy as environmental input integrationDevelopment of multisensory reweighting is impaired for quiet stance control in children with developmental coordination disorder (DCD)Generation of the Human Biped Stance by a Neural Controller Able to Compensate Neurological Time DelayBursts and isolated spikes code for opposite movement directions in midbrain electrosensory neurons.Effects of sound on postural stability during quiet standing.Postural compensation for unilateral vestibular loss.Manipulating the edge of instabilityDirection-dependent control of balance during walking and standing.Synaptic plasticity can produce and enhance direction selectivityBayesian integration and non-linear feedback control in a full-body motor task.Self versus environment motion in postural controlDynamic principles of gait and their clinical implicationsSensory reweighting dynamics in human postural control.Bayesian models: the structure of the world, uncertainty, behavior, and the brain.Optimization of muscle activity for task-level goals predicts complex changes in limb forces across biomechanical contexts.Neuromechanics of muscle synergies for posture and movementNon-linear stimulus-response behavior of the human stance control system is predicted by optimization of a system with sensory and motor noise.Spinal mechanisms may provide a combination of intermittent and continuous control of human posture: predictions from a biologically based neuromusculoskeletal modelVisual contribution to human standing balance during support surface tilts.Sensorimotor integration for multisegmental frontal plane balance control in humansReactions of Standing Bipeds on Moving Platforms to Keep Their Balance May Increase the Amplitude of Oscillations of Platforms Satisfying Hooke's Law.The influence of sensory information on two-component coordination during quiet stance.The uncertainty associated with visual flow fields and their influence on postural sway: Weber's law suffices to explain the nonlinearity of vection.When Optimal Feedback Control Is Not Enough: Feedforward Strategies Are Required for Optimal Control with Active SensingIdentification of neural feedback for upright stance in humans: stabilization rather than sway minimization.Homeostasis of exercise hyperpnea and optimal sensorimotor integration: the internal model paradigmSensory adaptation in human balance control: lessons for biomimetic robotic bipedsDimensional reduction in sensorimotor systems: a framework for understanding muscle coordination of posture.Computational approaches to spatial orientation: from transfer functions to dynamic Bayesian inferenceIdentification of the plant for upright stance in humans: multiple movement patterns from a single neural strategy.Development of multisensory reweighting for posture control in children.Asymmetric adaptation with functional advantage in human sensorimotor control.An Engineering Model of Human Balance Control-Part I: Biomechanical ModelPostural feedback scaling deficits in Parkinson's disease.Optimal motor control may mask sensory dynamics.Intermittent control models of human standing: similarities and differences.A shared neural integrator for human posture control.Dynamic Balanced Reach: A Temporal and Spectral Analysis Across Increasing Performance Demands.Human-Derived Disturbance Estimation and Compensation (DEC) Method Lends Itself to a Modular Sensorimotor Control in a Humanoid Robot.Hip and ankle responses for reactive balance emerge from varying priorities to reduce effort and kinematic excursion: A simulation study
P2860
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P2860
An optimal state estimation model of sensory integration in human postural balance.
description
2005 nî lūn-bûn
@nan
2005年の論文
@ja
2005年学术文章
@wuu
2005年学术文章
@zh-cn
2005年学术文章
@zh-hans
2005年学术文章
@zh-my
2005年学术文章
@zh-sg
2005年學術文章
@yue
2005年學術文章
@zh
2005年學術文章
@zh-hant
name
An optimal state estimation model of sensory integration in human postural balance.
@en
An optimal state estimation model of sensory integration in human postural balance.
@nl
type
label
An optimal state estimation model of sensory integration in human postural balance.
@en
An optimal state estimation model of sensory integration in human postural balance.
@nl
prefLabel
An optimal state estimation model of sensory integration in human postural balance.
@en
An optimal state estimation model of sensory integration in human postural balance.
@nl
P356
P1476
An optimal state estimation model of sensory integration in human postural balance.
@en
P304
P356
10.1088/1741-2560/2/3/S07
P50
P577
2005-08-31T00:00:00Z