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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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></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></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><MedlineCitation Owner="NLM" Status="MEDLINE"><PMID Version="1">15217326</PMID><DateCreated><Year>2004</Year><Month>07</Month><Day>09</Day></DateCreated><DateCompleted><Year>2004</Year><Month>10</Month><Day>13</Day></DateCompleted><DateRevised><Year>2004</Year><Month>11</Month><Day>17</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Print">0147-006X</ISSN><JournalIssue CitedMedium="Print"><Volume>27</Volume><PubDate><Year>2004</Year></PubDate></JournalIssue><Title>Annual review of neuroscience</Title><ISOAbbreviation>Annu. Rev. Neurosci.</ISOAbbreviation></Journal><ArticleTitle>Sensory signals in neural populations underlying tactile perception and manipulation.</ArticleTitle><Pagination><MedlinePgn>53-77</MedlinePgn></Pagination><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></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Goodwin</LastName><ForeName>Antony W</ForeName><Initials>AW</Initials><AffiliationInfo><Affiliation>Department of Anatomy and Cell Biology, University of Melbourne, Parkville, Victoria 3010, Australia. a.goodwin@unimelb.edu.au</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Wheat</LastName><ForeName>Heather E</ForeName><Initials>HE</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D016454">Review</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>Annu Rev Neurosci</MedlineTA><NlmUniqueID>7804039</NlmUniqueID><ISSNLinking>0147-006X</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName MajorTopicYN="N" UI="D000200">Action Potentials</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000502">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D000818">Animals</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D006225">Hand</DescriptorName><QualifierName MajorTopicYN="N" UI="Q000294">innervation</QualifierName><QualifierName MajorTopicYN="N" UI="Q000502">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D018737">Hand Strength</DescriptorName><QualifierName MajorTopicYN="N" UI="Q000502">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D006801">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D008465">Mechanoreceptors</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000502">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D040542">Mechanotransduction, Cellular</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000502">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D009475">Neurons, Afferent</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000502">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D012867">Skin</DescriptorName><QualifierName MajorTopicYN="N" UI="Q000294">innervation</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D014110">Touch</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000502">physiology</QualifierName></MeshHeading></MeshHeadingList><NumberOfReferences>110</NumberOfReferences></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="pubmed"><Year>2004</Year><Month>6</Month><Day>26</Day><Hour>5</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2004</Year><Month>10</Month><Day>14</Day><Hour>9</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2004</Year><Month>6</Month><Day>26</Day><Hour>5</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">15217326</ArticleId><ArticleId IdType="doi">10.1146/annurev.neuro.26.041002.131032</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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