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Sensory signals in neural populations underlying tactile perception and manipulation

Identifieur interne : 000553 ( PascalFrancis/Curation ); précédent : 000552; suivant : 000554

Sensory signals in neural populations underlying tactile perception and manipulation

Auteurs : Antony W. Goodwin [Australie] ; Heather E. Wheat [Australie]

Source :

RBID : Pascal:04-0420197

Descripteurs français

English descriptors

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.
pA  
A01 01  1    @0 0147-006X
A02 01      @0 ARNSD5
A03   1    @0 Annu. rev. neurosci.
A05       @2 27
A08 01  1  ENG  @1 Sensory signals in neural populations underlying tactile perception and manipulation
A11 01  1    @1 GOODWIN (Antony W.)
A11 02  1    @1 WHEAT (Heather E.)
A14 01      @1 Department of Anatomy and Cell Biology, University of Melbourne @2 Parkville, Victoria 3010 @3 AUS @Z 1 aut. @Z 2 aut.
A20       @1 53-77
A21       @1 2004
A23 01      @0 ENG
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A44       @0 0000 @1 © 2004 INIST-CNRS. All rights reserved.
A45       @0 4 p.3/4
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A60       @1 P
A61       @0 A
A64 01  1    @0 Annual review of neuroscience
A66 01      @0 USA
C01 01    ENG  @0 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.
C02 01  X    @0 002A25F
C03 01  X  FRE  @0 Perception @5 01
C03 01  X  ENG  @0 Perception @5 01
C03 01  X  SPA  @0 Percepción @5 01
C03 02  X  FRE  @0 Sensibilité tactile @5 02
C03 02  X  ENG  @0 Tactile sensitivity @5 02
C03 02  X  SPA  @0 Sensibilidad tactil @5 02
C03 03  X  FRE  @0 Mécanorécepteur @5 03
C03 03  X  ENG  @0 Mechanoreceptor @5 03
C03 03  X  SPA  @0 Mecanorreceptor @5 03
C03 04  X  FRE  @0 Peau @5 04
C03 04  X  ENG  @0 Skin @5 04
C03 04  X  SPA  @0 Piel @5 04
C03 05  X  FRE  @0 Préhension @5 05
C03 05  X  ENG  @0 Gripping @5 05
C03 05  X  SPA  @0 Prension @5 05
C03 06  X  FRE  @0 Contrôle moteur @5 06
C03 06  X  ENG  @0 Motor control @5 06
C03 06  X  SPA  @0 Control motor @5 06
C03 07  X  FRE  @0 Article synthèse @5 08
C03 07  X  ENG  @0 Review @5 08
C03 07  X  SPA  @0 Artículo síntesis @5 08
N21       @1 236

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Pascal:04-0420197

Le document en format XML

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