Sensory signals in neural populations underlying tactile perception and manipulation
Identifieur interne : 006B33 ( Main/Curation ); précédent : 006B32; suivant : 006B34Sensory signals in neural populations underlying tactile perception and manipulation
Auteurs : Antony W. Goodwin [Australie] ; Heather E. Wheat [Australie]Source :
- Annual review of neuroscience [ 0147-006X ] ; 2004.
Descripteurs français
- Pascal (Inist)
English descriptors
- KwdEn :
- Action Potentials (physiology), Animals, Gripping, Hand (innervation), Hand (physiology), Hand Strength (physiology), Humans, Mechanoreceptor, Mechanoreceptors (physiology), Mechanotransduction, Cellular (physiology), Motor control, Neurons, Afferent (physiology), Perception, Review, Skin, Skin (innervation), Tactile sensitivity, Touch (physiology).
- 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.
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Pascal:04-0420197Le document en format XML
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Wheat</name><affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Department of Anatomy and Cell Biology, University of Melbourne</s1><s2>Parkville, Victoria 3010</s2><s3>AUS</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ></inist:fA14><country>Australie</country><wicri:noRegion>Parkville, Victoria 3010</wicri:noRegion></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">INIST</idno><idno type="inist">04-0420197</idno><date when="2004">2004</date><idno type="stanalyst">PASCAL 04-0420197 INIST</idno><idno type="RBID">Pascal:04-0420197</idno><idno type="wicri:Area/PascalFrancis/Corpus">000F56</idno><idno type="wicri:Area/PascalFrancis/Curation">000553</idno><idno type="wicri:Area/PascalFrancis/Checkpoint">000C20</idno><idno type="wicri:doubleKey">0147-006X:2004:Goodwin A:sensory:signals:in</idno><idno type="wicri:Area/Main/Merge">006F42</idno><idno type="wicri:source">PubMed</idno><idno type="RBID">pubmed:15217326</idno><idno type="wicri:Area/PubMed/Corpus">001B17</idno><idno type="wicri:Area/PubMed/Curation">001B17</idno><idno type="wicri:Area/PubMed/Checkpoint">001793</idno><idno type="wicri:Area/Ncbi/Merge">000544</idno><idno type="wicri:Area/Ncbi/Curation">000544</idno><idno type="wicri:Area/Ncbi/Checkpoint">000544</idno><idno type="wicri:doubleKey">0147-006X:2004:Goodwin A:sensory:signals:in</idno><idno type="wicri:Area/Main/Merge">006A36</idno><idno type="wicri:Area/Main/Curation">006B33</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a">Sensory signals in neural populations underlying tactile perception and manipulation</title><author><name sortKey="Goodwin, Antony W" sort="Goodwin, Antony W" uniqKey="Goodwin A" first="Antony W." last="Goodwin">Antony W. Goodwin</name><affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Department of Anatomy and Cell Biology, University of Melbourne</s1><s2>Parkville, Victoria 3010</s2><s3>AUS</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ></inist:fA14><country>Australie</country><wicri:noRegion>Parkville, Victoria 3010</wicri:noRegion></affiliation></author><author><name sortKey="Wheat, Heather E" sort="Wheat, Heather E" uniqKey="Wheat H" first="Heather E." last="Wheat">Heather E. Wheat</name><affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Department of Anatomy and Cell Biology, University of Melbourne</s1><s2>Parkville, Victoria 3010</s2><s3>AUS</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ></inist:fA14><country>Australie</country><wicri:noRegion>Parkville, Victoria 3010</wicri:noRegion></affiliation></author></analytic><series><title level="j" type="main">Annual review of neuroscience</title><title level="j" type="abbreviated">Annu. rev. neurosci.</title><idno type="ISSN">0147-006X</idno><imprint><date when="2004">2004</date></imprint></series></biblStruct></sourceDesc><seriesStmt><title level="j" type="main">Annual review of neuroscience</title><title level="j" type="abbreviated">Annu. rev. neurosci.</title><idno type="ISSN">0147-006X</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Action Potentials (physiology)</term><term>Animals</term><term>Gripping</term><term>Hand (innervation)</term><term>Hand (physiology)</term><term>Hand Strength (physiology)</term><term>Humans</term><term>Mechanoreceptor</term><term>Mechanoreceptors (physiology)</term><term>Mechanotransduction, Cellular (physiology)</term><term>Motor control</term><term>Neurons, Afferent (physiology)</term><term>Perception</term><term>Review</term><term>Skin</term><term>Skin (innervation)</term><term>Tactile sensitivity</term><term>Touch (physiology)</term></keywords><keywords scheme="MESH" qualifier="innervation" xml:lang="en"><term>Hand</term><term>Skin</term></keywords><keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Action Potentials</term><term>Hand</term><term>Hand Strength</term><term>Mechanoreceptors</term><term>Mechanotransduction, Cellular</term><term>Neurons, Afferent</term><term>Touch</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Animals</term><term>Humans</term></keywords><keywords scheme="Pascal" xml:lang="fr"><term>Perception</term><term>Sensibilité tactile</term><term>Mécanorécepteur</term><term>Peau</term><term>Préhension</term><term>Contrôle moteur</term><term>Article synthèse</term></keywords></textClass></profileDesc></teiHeader><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></front></TEI><double idat="0147-006X:2004:Goodwin A:sensory:signals:in"><INIST><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en" level="a">Sensory signals in neural populations underlying tactile perception and manipulation</title><author><name sortKey="Goodwin, Antony W" sort="Goodwin, Antony W" uniqKey="Goodwin A" first="Antony W." last="Goodwin">Antony W. Goodwin</name><affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Department of Anatomy and Cell Biology, University of Melbourne</s1><s2>Parkville, Victoria 3010</s2><s3>AUS</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ></inist:fA14><country>Australie</country><wicri:noRegion>Parkville, Victoria 3010</wicri:noRegion></affiliation></author><author><name sortKey="Wheat, Heather E" sort="Wheat, Heather E" uniqKey="Wheat H" first="Heather E." last="Wheat">Heather E. Wheat</name><affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Department of Anatomy and Cell Biology, University of Melbourne</s1><s2>Parkville, Victoria 3010</s2><s3>AUS</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ></inist:fA14><country>Australie</country><wicri:noRegion>Parkville, Victoria 3010</wicri:noRegion></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">INIST</idno><idno type="inist">04-0420197</idno><date when="2004">2004</date><idno type="stanalyst">PASCAL 04-0420197 INIST</idno><idno type="RBID">Pascal:04-0420197</idno><idno type="wicri:Area/PascalFrancis/Corpus">000F56</idno><idno type="wicri:Area/PascalFrancis/Curation">000553</idno><idno type="wicri:Area/PascalFrancis/Checkpoint">000C20</idno><idno type="wicri:doubleKey">0147-006X:2004:Goodwin A:sensory:signals:in</idno><idno type="wicri:Area/Main/Merge">006F42</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a">Sensory signals in neural populations underlying tactile perception and manipulation</title><author><name sortKey="Goodwin, Antony W" sort="Goodwin, Antony W" uniqKey="Goodwin A" first="Antony W." last="Goodwin">Antony W. Goodwin</name><affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Department of Anatomy and Cell Biology, University of Melbourne</s1><s2>Parkville, Victoria 3010</s2><s3>AUS</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ></inist:fA14><country>Australie</country><wicri:noRegion>Parkville, Victoria 3010</wicri:noRegion></affiliation></author><author><name sortKey="Wheat, Heather E" sort="Wheat, Heather E" uniqKey="Wheat H" first="Heather E." last="Wheat">Heather E. Wheat</name><affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Department of Anatomy and Cell Biology, University of Melbourne</s1><s2>Parkville, Victoria 3010</s2><s3>AUS</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ></inist:fA14><country>Australie</country><wicri:noRegion>Parkville, Victoria 3010</wicri:noRegion></affiliation></author></analytic><series><title level="j" type="main">Annual review of neuroscience</title><title level="j" type="abbreviated">Annu. rev. neurosci.</title><idno type="ISSN">0147-006X</idno><imprint><date when="2004">2004</date></imprint></series></biblStruct></sourceDesc><seriesStmt><title level="j" type="main">Annual review of neuroscience</title><title level="j" type="abbreviated">Annu. rev. neurosci.</title><idno type="ISSN">0147-006X</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Gripping</term><term>Mechanoreceptor</term><term>Motor control</term><term>Perception</term><term>Review</term><term>Skin</term><term>Tactile sensitivity</term></keywords><keywords scheme="Pascal" xml:lang="fr"><term>Perception</term><term>Sensibilité tactile</term><term>Mécanorécepteur</term><term>Peau</term><term>Préhension</term><term>Contrôle moteur</term><term>Article synthèse</term></keywords></textClass></profileDesc></teiHeader><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></front></TEI></INIST><PubMed><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Sensory signals in neural populations underlying tactile perception and manipulation.</title><author><name sortKey="Goodwin, Antony W" sort="Goodwin, Antony W" uniqKey="Goodwin A" first="Antony W" last="Goodwin">Antony W. Goodwin</name><affiliation wicri:level="1"><nlm:affiliation>Department of Anatomy and Cell Biology, University of Melbourne, Parkville, Victoria 3010, Australia. a.goodwin@unimelb.edu.au</nlm:affiliation><country xml:lang="fr">Australie</country><wicri:regionArea>Department of Anatomy and Cell Biology, University of Melbourne, Parkville, Victoria 3010</wicri:regionArea><wicri:noRegion>Victoria 3010</wicri:noRegion></affiliation></author><author><name sortKey="Wheat, Heather E" sort="Wheat, Heather E" uniqKey="Wheat H" first="Heather E" last="Wheat">Heather E. Wheat</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2004">2004</date><idno type="RBID">pubmed:15217326</idno><idno type="pmid">15217326</idno><idno type="doi">10.1146/annurev.neuro.26.041002.131032</idno><idno type="wicri:Area/PubMed/Corpus">001B17</idno><idno type="wicri:Area/PubMed/Curation">001B17</idno><idno type="wicri:Area/PubMed/Checkpoint">001793</idno><idno type="wicri:Area/Ncbi/Merge">000544</idno><idno type="wicri:Area/Ncbi/Curation">000544</idno><idno type="wicri:Area/Ncbi/Checkpoint">000544</idno><idno type="wicri:doubleKey">0147-006X:2004:Goodwin A:sensory:signals:in</idno><idno type="wicri:Area/Main/Merge">006A36</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Sensory signals in neural populations underlying tactile perception and manipulation.</title><author><name sortKey="Goodwin, Antony W" sort="Goodwin, Antony W" uniqKey="Goodwin A" first="Antony W" last="Goodwin">Antony W. Goodwin</name><affiliation wicri:level="1"><nlm:affiliation>Department of Anatomy and Cell Biology, University of Melbourne, Parkville, Victoria 3010, Australia. a.goodwin@unimelb.edu.au</nlm:affiliation><country xml:lang="fr">Australie</country><wicri:regionArea>Department of Anatomy and Cell Biology, University of Melbourne, Parkville, Victoria 3010</wicri:regionArea><wicri:noRegion>Victoria 3010</wicri:noRegion></affiliation></author><author><name sortKey="Wheat, Heather E" sort="Wheat, Heather E" uniqKey="Wheat H" first="Heather E" last="Wheat">Heather E. Wheat</name></author></analytic><series><title level="j">Annual review of neuroscience</title><idno type="ISSN">0147-006X</idno><imprint><date when="2004" type="published">2004</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Action Potentials (physiology)</term><term>Animals</term><term>Hand (innervation)</term><term>Hand (physiology)</term><term>Hand Strength (physiology)</term><term>Humans</term><term>Mechanoreceptors (physiology)</term><term>Mechanotransduction, Cellular (physiology)</term><term>Neurons, Afferent (physiology)</term><term>Skin (innervation)</term><term>Touch (physiology)</term></keywords><keywords scheme="MESH" qualifier="innervation" xml:lang="en"><term>Hand</term><term>Skin</term></keywords><keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Action Potentials</term><term>Hand</term><term>Hand Strength</term><term>Mechanoreceptors</term><term>Mechanotransduction, Cellular</term><term>Neurons, Afferent</term><term>Touch</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Animals</term><term>Humans</term></keywords></textClass></profileDesc></teiHeader><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></front></TEI></PubMed></double></record>Pour manipuler ce document sous Unix (Dilib)
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