Sensory signals in neural populations underlying tactile perception and manipulation.
Identifieur interne : 001B17 ( PubMed/Curation ); précédent : 001B16; suivant : 001B18Sensory signals in neural populations underlying tactile perception and manipulation.
Auteurs : Antony W. Goodwin [Australie] ; Heather E. WheatSource :
- Annual review of neuroscience [ 0147-006X ] ; 2004.
English descriptors
- KwdEn :
- MESH :
- innervation : Hand, Skin.
- physiology : Action Potentials, Hand, Hand Strength, Mechanoreceptors, Mechanotransduction, Cellular, Neurons, Afferent, Touch.
- Animals, Humans.
Abstract
For humans to manipulate an object successfully, the motor control system must have accurate information about parameters such as the shape of the stimulus, its position of contact on the skin, and the magnitude and direction of contact force. The same information is required for perception during haptic exploration of an object. Much of these data are relayed by the mechanoreceptive afferents innervating the glabrous skin of the digits. Single afferent responses are modulated by all the relevant stimulus parameters. Thus, only in complete population reconstructions is it clear how each of the parameters can be signaled to the brain independently when many are changing simultaneously, as occurs in most normal movements or haptic exploration. Modeling population responses reveals how resolution is affected by neural noise and intrinsic properties of the population such as the pattern and density of innervation and the covariance of response variability.
DOI: 10.1146/annurev.neuro.26.041002.131032
PubMed: 15217326
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pubmed:15217326Le document en format XML
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<wicri:regionArea>Department of Anatomy and Cell Biology, University of Melbourne, Parkville, Victoria 3010</wicri:regionArea>
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<term>Hand</term>
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<term>Mechanotransduction, Cellular</term>
<term>Neurons, Afferent</term>
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<front><div type="abstract" xml:lang="en">For humans to manipulate an object successfully, the motor control system must have accurate information about parameters such as the shape of the stimulus, its position of contact on the skin, and the magnitude and direction of contact force. The same information is required for perception during haptic exploration of an object. Much of these data are relayed by the mechanoreceptive afferents innervating the glabrous skin of the digits. Single afferent responses are modulated by all the relevant stimulus parameters. Thus, only in complete population reconstructions is it clear how each of the parameters can be signaled to the brain independently when many are changing simultaneously, as occurs in most normal movements or haptic exploration. Modeling population responses reveals how resolution is affected by neural noise and intrinsic properties of the population such as the pattern and density of innervation and the covariance of response variability.</div>
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<Abstract><AbstractText>For humans to manipulate an object successfully, the motor control system must have accurate information about parameters such as the shape of the stimulus, its position of contact on the skin, and the magnitude and direction of contact force. The same information is required for perception during haptic exploration of an object. Much of these data are relayed by the mechanoreceptive afferents innervating the glabrous skin of the digits. Single afferent responses are modulated by all the relevant stimulus parameters. Thus, only in complete population reconstructions is it clear how each of the parameters can be signaled to the brain independently when many are changing simultaneously, as occurs in most normal movements or haptic exploration. Modeling population responses reveals how resolution is affected by neural noise and intrinsic properties of the population such as the pattern and density of innervation and the covariance of response variability.</AbstractText>
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<NumberOfReferences>110</NumberOfReferences>
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