Sources of signal-dependent noise during isometric force production.

By Kelvin E. Jones, Antonia F. de C. Hamilton, D. M. Wolpert. Journal of Neurophysiology, 2002

600 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Cognitive Neuroscience, Physical Therapy, Sports Therapy and Rehabilitation

View Paper: https://www.semanticscholar.org/paper/174f051a752ae40710e788e7feba13aec6e55a9a

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In Biomedical Engineering

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In Physical Therapy, Sports Therapy and Rehabilitation

Citations in the corpus

Noise in the nervous system (2008, background): “The variability in the force that is produced by a whole human skeletal muscle is proportional to the average force that is produced by that muscl”
Learning from Sensory and Reward Prediction Errors during Motor Adaptation (2011, background): “In previous studies, movement variability is generally thought to be due to signal dependent noise in the neuronal structures that generate motor commands [45,46,47].”
A computational neuroanatomy for motor control (2008, background): “Therefore, motor commands carried an accuracy cost because the larger the command, the larger the standard deviation of the noise that rides on top of the force produced by the muscles ( Jones et al.2002 ).”
Endpoint Stiffness of the Arm Is Directionally Tuned to Instability in the Environment (2007, methodology): “For example, when using a screwdriver the force needed to drive the screw would fluctuate as a result of inherent signal-dependent noise (Harris and Wolpert, 1998; Jones et al., 2002; Hamilton et al., 2004; Osu et al., 2004).”
Robotics, motor learning, and neurologic recovery. (2004, background): “Trial-to-trial variability also arises from neural sources (27, 28) and is larger during childhood (29) or following an injury such as a stroke (30).”
Bayesian Exploration for Intelligent Identification of Textures (2012, background): “On the minus side, the movements of the human hand are subject to considerably more motor noise than our electrical motors (Jones et al., 2002; Jones and Lederman, 2006).”
Stochastic Optimal Control and Estimation Methods Adapted to the Noise Characteristics of the Sensorimotor System (2005, background): “The exact reasons for this dependence are not entirely clear, although it can be explained at least in part with Poisson noise on the neural level combined with Henneman’s size principle of motoneuron recruitment ( Jones, Hamilton, & Wolpert, 2002 ).”
Computational principles of sensorimotor control that minimize uncertainty and variability (2007, background): “This signal-dependent noise results directly from the physiology of the motor pool, in which motor-units are recruited in order of increasing twitch amplitude (Jones et al. 2002; Hamilton et al. 2004).”
Motor Adaptation as a Process of Reoptimization (2008, unknown): “Noise is signal dependent with an SD that grows with the size of the motor commands (Harris and Wolpert, 1998; Jones et al., 2002; van Beers et al., 2004).”
Neuronal variability: noise or part of the signal? (2005, background): “Several studies have now shown that the SD of the force is approximately proportional to the mean force level during voluntary ISOMETRIC CONTRACTIONS”
Computational mechanisms of sensorimotor control. (2011, background): “There is evidence that the major reason for the signal-dependent nature of this variability may come from the size principle of motor unit requirement (Jones et al., 2002).”