Conveyance of texture signals along a rat whisker.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
30 06 2021
Historique:
received: 28 07 2020
accepted: 07 06 2021
entrez: 1 7 2021
pubmed: 2 7 2021
medline: 9 11 2021
Statut: epublish

Résumé

Neuronal activities underlying a percept are constrained by the physics of sensory signals. In the tactile sense such constraints are frictional stick-slip events, occurring, amongst other vibrotactile features, when tactile sensors are in contact with objects. We reveal new biomechanical phenomena about the transmission of these microNewton forces at the tip of a rat's whisker, where they occur, to the base where they engage primary afferents. Using high resolution videography and accurate measurement of axial and normal forces at the follicle, we show that the conical and curved rat whisker acts as a sign-converting amplification filter for moment to robustly engage primary afferents. Furthermore, we present a model based on geometrically nonlinear Cosserat rod theory and a friction model that recreates the observed whole-beam whisker dynamics. The model quantifies the relation between kinematics (positions and velocities) and dynamic variables (forces and moments). Thus, only videographic assessment of acceleration is required to estimate forces and moments measured by the primary afferents. Our study highlights how sensory systems deal with complex physical constraints of perceptual targets and sensors.

Identifiants

pubmed: 34193889
doi: 10.1038/s41598-021-92770-3
pii: 10.1038/s41598-021-92770-3
pmc: PMC8245408
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

13570

Commentaires et corrections

Type : ErratumIn

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Auteurs

Maysam Oladazimi (M)

Systems Neurophysiology, Werner Reichardt Centre for Integrative Neuroscience, University of Tübingen, Otfried Müller Str. 25, 72076, Tübingen, Germany.
Systems Neurophysiology, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany.

Thibaut Putelat (T)

Department of Engineering Mathematics, University of Bristol, Bristol, BS8 1UB, UK.
Department of Sustainable Agriculture Sciences, Rothamsted Research, Harpenden, AL5 2JQ, UK.

Robert Szalai (R)

Department of Engineering Mathematics, University of Bristol, Bristol, BS8 1UB, UK.

Kentaro Noda (K)

Department of Mechano-Informatics, Graduate School of Information Science and Technology, University of Tokyo, Tokyo, Japan.
Department of Intelligent Robotics, Toyama Prefectural University, Toyama, Japan.

Isao Shimoyama (I)

Department of Mechano-Informatics, Graduate School of Information Science and Technology, University of Tokyo, Tokyo, Japan.
Toyama Prefectural University, Toyama, Japan.

Alan Champneys (A)

Department of Engineering Mathematics, University of Bristol, Bristol, BS8 1UB, UK.

Cornelius Schwarz (C)

Systems Neurophysiology, Werner Reichardt Centre for Integrative Neuroscience, University of Tübingen, Otfried Müller Str. 25, 72076, Tübingen, Germany. cornelius.schwarz@uni-tuebingen.de.
Systems Neurophysiology, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany. cornelius.schwarz@uni-tuebingen.de.

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Classifications MeSH