Literature DB >> 15136599

Frequency-dependent processing in the vibrissa sensory system.

Christopher I Moore1.   

Abstract

The vibrissa sensory system is a key model for investigating principles of sensory processing. Specific frequency ranges of vibrissa motion, generated by rodent sensory behaviors (e.g., active exploration or resting) and by stimulus features, characterize perception by this system. During active exploration, rats typically sweep their vibrissae at approximately 4-12 Hz against and over tactual surfaces, and during rest or quiescence, their vibrissae are typically still (<1 Hz). When a vibrissa is swept over an object, microgeometric surface features (e.g., grains on sandpaper) likely create higher frequency vibrissa vibrations that are greater than or equal to several hundred Hertz. In this article, I first review thalamic and cortical neural responses to vibrissa stimulation at 1-40 Hz. I then propose that neural dynamics optimize the detection of stimuli in low-frequency contexts (e.g., 1 Hz) and the discrimination of stimuli in the whisking frequency range. In the third section, I describe how the intrinsic biomechanical properties of vibrissae, their ability to resonate when stimulated at specific frequencies, may promote detection and discrimination of high-frequency inputs, including textured surfaces. In the final section, I hypothesize that distinct low- and high-frequency processing modes may exist in the somatosensory cortex (SI), such that neural responses to stimuli at 1-40 Hz do not necessarily predict responses to higher frequency inputs. In total, these studies show that several frequency-specific mechanisms impact information transmission in the vibrissa sensory system and suggest that these properties play a crucial role in perception.

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Year:  2004        PMID: 15136599     DOI: 10.1152/jn.00925.2003

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  44 in total

Review 1.  Neurophysiological and computational principles of cortical rhythms in cognition.

Authors:  Xiao-Jing Wang
Journal:  Physiol Rev       Date:  2010-07       Impact factor: 37.312

2.  Whisker primary afferents encode temporal frequency of moving gratings.

Authors:  Lauren M Jones; Ernest E Kwegyir-Afful; Asaf Keller
Journal:  Somatosens Mot Res       Date:  2006 Mar-Jun       Impact factor: 1.111

3.  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

4.  Thalamocortical transformations of periodic stimuli: the effect of stimulus velocity and synaptic short-term depression in the vibrissa-barrel system.

Authors:  Jaime de la Rocha; Néstor Parga
Journal:  J Comput Neurosci       Date:  2008-01-09       Impact factor: 1.621

5.  BOLD fMRI and somatosensory evoked potentials are well correlated over a broad range of frequency content of somatosensory stimulation of the rat forepaw.

Authors:  Artem G Goloshevsky; Afonso C Silva; Stephen J Dodd; Alan P Koretsky
Journal:  Brain Res       Date:  2007-11-28       Impact factor: 3.252

6.  Sparse temporal coding of elementary tactile features during active whisker sensation.

Authors:  Shantanu P Jadhav; Jason Wolfe; Daniel E Feldman
Journal:  Nat Neurosci       Date:  2009-05-10       Impact factor: 24.884

7.  Influence of subcortical inhibition on barrel cortex receptive fields.

Authors:  Akio Hirata; Juan Aguilar; Manuel A Castro-Alamancos
Journal:  J Neurophysiol       Date:  2009-04-29       Impact factor: 2.714

8.  Opposite adaptive processing of stimulus intensity in two major nuclei of the somatosensory brainstem.

Authors:  Boaz Mohar; Yonatan Katz; Ilan Lampl
Journal:  J Neurosci       Date:  2013-09-25       Impact factor: 6.167

9.  Cortical transformation of wide-field (multiwhisker) sensory responses.

Authors:  Akio Hirata; Manuel A Castro-Alamancos
Journal:  J Neurophysiol       Date:  2008-05-14       Impact factor: 2.714

Review 10.  Optogenetic drive of neocortical pyramidal neurons generates fMRI signals that are correlated with spiking activity.

Authors:  I Kahn; U Knoblich; M Desai; J Bernstein; A M Graybiel; E S Boyden; R L Buckner; C I Moore
Journal:  Brain Res       Date:  2013-03-21       Impact factor: 3.252

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