Literature DB >> 26126800

Wideband phase locking to modulated whisker vibration point to a temporal code for texture in the rat's barrel cortex.

Tobias A S Ewert1,2, Johannes Möller1, Andreas K Engel1, Christiane Vahle-Hinz3.   

Abstract

Rats probe objects with their whiskers and make decisions about sizes, shapes, textures and distances within a few tens of milliseconds. This perceptual analysis requires the processing of tactile high-frequency object components reflecting surface roughness. We have shown that neurons in the barrel cortex of rats encode high-frequency sinusoidal vibrations of whiskers for sustained periods when presented with constant amplitudes and frequencies. In a natural situation, however, stimulus parameters change rapidly when whiskers are brushing across objects. In this study, we therefore analysed cortical responses to vibratory movements of single whiskers with rapidly changing amplitudes and frequencies. The results show that different neural codes are employed for a processing of stimulus parameters. The frequency of whisker vibration is encoded by the temporal pattern of spike discharges, i.e., the phase-locked responses of barrel cortex neurons. In addition, oscillatory gamma band activity was induced during high-frequency stimulation. The pivotal descriptor of the amplitude of whisker displacement, the velocity, is reflected in the rate of spike discharges. While phase-locked discharges occurred over the entire range of frequencies tested (10-600 Hz), the discharge rate increased with stimulus velocity only up to about 60 µm/ms, saturating at a mean rate of ~117 spikes/s. In addition, the results show that whisker movements of more than 500 Hz bandwidth may be encoded by phase-locked responses of small groups of cortical neurons. Thus, even single whiskers may transmit information about wide ranges of textural components owing to their set of different types of hair follicle mechanoreceptors.

Entities:  

Keywords:  Anaesthesia; Electrophysiology; High-frequency vibration; Oscillation; Tactile processing

Mesh:

Year:  2015        PMID: 26126800     DOI: 10.1007/s00221-015-4357-y

Source DB:  PubMed          Journal:  Exp Brain Res        ISSN: 0014-4819            Impact factor:   1.972


  59 in total

1.  Periodicity and firing rate as candidate neural codes for the frequency of vibrotactile stimuli.

Authors:  E Salinas; A Hernandez; A Zainos; R Romo
Journal:  J Neurosci       Date:  2000-07-15       Impact factor: 6.167

2.  The relay of high-frequency sensory signals in the Whisker-to-barreloid pathway.

Authors:  Martin Deschênes; Elena Timofeeva; Philippe Lavallée
Journal:  J Neurosci       Date:  2003-07-30       Impact factor: 6.167

Review 3.  Texture coding in the whisker system.

Authors:  Shantanu P Jadhav; Daniel E Feldman
Journal:  Curr Opin Neurobiol       Date:  2010-03-17       Impact factor: 6.627

4.  Embodied information processing: vibrissa mechanics and texture features shape micromotions in actively sensing rats.

Authors:  Jason T Ritt; Mark L Andermann; Christopher I Moore
Journal:  Neuron       Date:  2008-02-28       Impact factor: 17.173

Review 5.  Neural coding and contextual influences in the whisker system.

Authors:  Rasmus S Petersen; Stefano Panzeri; Miguel Maravall
Journal:  Biol Cybern       Date:  2009-02-03       Impact factor: 2.086

6.  Rats can learn a roughness discrimination using only their vibrissal system.

Authors:  E Guić-Robles; C Valdivieso; G Guajardo
Journal:  Behav Brain Res       Date:  1989-01-01       Impact factor: 3.332

7.  Gamma-band oscillations in the "barrel cortex" precede rat's exploratory whisking.

Authors:  Y Hamada; E Miyashita; H Tanaka
Journal:  Neuroscience       Date:  1999       Impact factor: 3.590

8.  The 'functional connection' of neurones in relation to behavioural states in rats.

Authors:  E Miyashita; Y Hamada
Journal:  Neuroreport       Date:  1996-10-02       Impact factor: 1.837

9.  Band-pass response properties of rat SI neurons.

Authors:  Catherine E Garabedian; Stephanie R Jones; Michael M Merzenich; Anders Dale; Christopher I Moore
Journal:  J Neurophysiol       Date:  2003-05-15       Impact factor: 2.714

Review 10.  Frisking the whiskers: patterned sensory input in the rat vibrissa system.

Authors:  Samar B Mehta; David Kleinfeld
Journal:  Neuron       Date:  2004-01-22       Impact factor: 17.173

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  3 in total

1.  Slip-Based Coding of Local Shape and Texture in Mouse S1.

Authors:  Brian R Isett; Sierra H Feasel; Monet A Lane; Daniel E Feldman
Journal:  Neuron       Date:  2018-01-04       Impact factor: 17.173

2.  Millisecond precision temporal encoding of stimulus features during cortically generated gamma oscillations in the rat somatosensory cortex.

Authors:  Thomas Bessaih; Michael J Higley; Diego Contreras
Journal:  J Physiol       Date:  2018-01-09       Impact factor: 5.182

3.  Physiological noise facilitates multiplexed coding of vibrotactile-like signals in somatosensory cortex.

Authors:  Mohammad Amin Kamaleddin; Aaron Shifman; Nooshin Abdollahi; Daniel Sigal; Stéphanie Ratté; Steven A Prescott
Journal:  Proc Natl Acad Sci U S A       Date:  2022-09-06       Impact factor: 12.779

  3 in total

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