Beyond cones: An improved model of whisker bending based on measured mechanics and tapering

Samuel Andrew Hires, Adam Schuyler, Jonathan Sy, Vincent Huang, Isis Wyche, Xiyue Wang, David Golomb

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

The sense of touch is represented by neural activity patterns evoked by mechanosensory input forces. The rodent whisker system is exceptional for studying the neurophysiology of touch in part because these forces can be precisely computed from video of whisker deformation. We evaluate the accuracy of a standard model of whisker bending, which assumes quasi-static dynamics and a linearly tapered conical profile, using controlled whisker deflections. We find significant discrepancies between model and experiment: real whiskers bend more than predicted upon contact at locations in the middle of the whisker and less at distal locations. Thus whiskers behave as if their stiffness near the base and near the tip is larger than expected for a homogeneous cone. We assess whether contact direction, friction, inhomogeneous elasticity, whisker orientation, or nonconical shape could explain these deviations. We show that a thin-middle taper of mouse whisker shape accounts for the majority of this behavior. This taper is conserved across rows and columns of the whisker array. The taper has a large effect on the touch-evoked forces and the ease with which whiskers slip past objects, which are key drivers of neural activity in tactile object localization and identification. This holds for orientations with intrinsic whisker curvature pointed toward, away from, or down from objects, validating two-dimensional models of simple whisker-object interactions. The precision of computational models relating sensory input forces to neural activity patterns can be quantitatively enhanced by taking thin-middle taper into account with a simple corrective function that we provide.

Original languageEnglish
Pages (from-to)812-824
Number of pages13
JournalJournal of Neurophysiology
Volume116
Issue number2
DOIs
StatePublished - 1 Aug 2016

Keywords

  • Mechanics
  • Quasi-static model
  • Somatosensation
  • Stiffness
  • Whisker bending

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