Literature DB >> 17959811

The neural coding of stimulus intensity: linking the population response of mechanoreceptive afferents with psychophysical behavior.

Michael A Muniak1, Supratim Ray, Steven S Hsiao, J Frank Dammann, Sliman J Bensmaia.   

Abstract

How specific aspects of a stimulus are encoded at different stages of neural processing is a critical question in sensory neuroscience. In the present study, we investigated the neural code underlying the perception of stimulus intensity in the somatosensory system. We first characterized the responses of SA1 (slowly adapting type 1), RA (rapidly adapting), and PC (Pacinian) afferents of macaque monkeys to sinusoidal, diharmonic, and bandpass noise stimuli. We then had human subjects rate the perceived intensity of a subset of these stimuli. On the basis of these neurophysiological and psychophysical measurements, we evaluated a series of hypotheses about which aspect(s) of the neural activity evoked at the somatosensory periphery account for perception. We evaluated three types of neural codes. The first consisted of population codes based on the firing rate of neurons located directly under the probe. The second included population codes based on the firing rate of the entire population of active neurons. The third included codes based on the number of active afferents. We found that the response evoked in the localized population is logarithmic with stimulus amplitude (given a constant frequency composition), whereas the population response across all neurons is linear with stimulus amplitude. We conclude that stimulus intensity is best accounted for by the firing rate evoked in afferents located under or near the locus of stimulation, weighted by afferent type.

Entities:  

Mesh:

Year:  2007        PMID: 17959811      PMCID: PMC6673240          DOI: 10.1523/JNEUROSCI.1486-07.2007

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  38 in total

Review 1.  Dynamics of neuronal processing in rat somatosensory cortex.

Authors:  C I Moore; S B Nelson; M Sur
Journal:  Trends Neurosci       Date:  1999-11       Impact factor: 13.837

Review 2.  Neural coding and the basic law of psychophysics.

Authors:  Kenneth O Johnson; Steven S Hsiao; Takashi Yoshioka
Journal:  Neuroscientist       Date:  2002-04       Impact factor: 7.519

3.  Time-course of vibratory adaptation and recovery in cutaneous mechanoreceptive afferents.

Authors:  Y Y Leung; S J Bensmaïa; S S Hsiao; K O Johnson
Journal:  J Neurophysiol       Date:  2005-11       Impact factor: 2.714

4.  Vibratory adaptation of cutaneous mechanoreceptive afferents.

Authors:  S J Bensmaïa; Y Y Leung; S S Hsiao; K O Johnson
Journal:  J Neurophysiol       Date:  2005-07-13       Impact factor: 2.714

5.  The dependence of vibrotactile threshold and magnitude functions on stimulation frequency and signal level. A perceptual and neural comparison.

Authors:  O Franzén
Journal:  Scand J Psychol       Date:  1969

6.  Detection of tactile stimuli. Thresholds of afferent units related to psychophysical thresholds in the human hand.

Authors:  R S Johansson; A B Vallbo
Journal:  J Physiol       Date:  1979-12       Impact factor: 5.182

7.  Reconstruction of population response to a vibratory stimulus in quickly adapting mechanoreceptive afferent fiber population innervating glabrous skin of the monkey.

Authors:  K O Johnson
Journal:  J Neurophysiol       Date:  1974-01       Impact factor: 2.714

8.  Relationships between touch sensations and estimated population responses of peripheral afferent mechanoreceptors.

Authors:  R H Cohen; C J Vierck
Journal:  Exp Brain Res       Date:  1993       Impact factor: 1.972

9.  Time-dependence of SI RA neuron response to cutaneous flutter stimulation.

Authors:  B L Whitsel; E F Kelly; M Quibrera; M Tommerdahl; Y Li; O V Favorov; M Xu; C B Metz
Journal:  Somatosens Mot Res       Date:  2003       Impact factor: 1.111

Review 10.  The coding of roughness.

Authors:  Mark Hollins; Sliman J Bensmaïa
Journal:  Can J Exp Psychol       Date:  2007-09
View more
  71 in total

1.  Behavioral assessment of sensitivity to intracortical microstimulation of primate somatosensory cortex.

Authors:  Sungshin Kim; Thierri Callier; Gregg A Tabot; Robert A Gaunt; Francesco V Tenore; Sliman J Bensmaia
Journal:  Proc Natl Acad Sci U S A       Date:  2015-10-26       Impact factor: 11.205

2.  Neural timing signal for precise tactile timing judgments.

Authors:  Scinob Kuroki; Junji Watanabe; Shin'ya Nishida
Journal:  J Neurophysiol       Date:  2016-02-03       Impact factor: 2.714

3.  Transformation of the neural code for tactile detection from thalamus to cortex.

Authors:  Yuriria Vázquez; Emilio Salinas; Ranulfo Romo
Journal:  Proc Natl Acad Sci U S A       Date:  2013-06-24       Impact factor: 11.205

4.  Restoring the sense of touch with a prosthetic hand through a brain interface.

Authors:  Gregg A Tabot; John F Dammann; Joshua A Berg; Francesco V Tenore; Jessica L Boback; R Jacob Vogelstein; Sliman J Bensmaia
Journal:  Proc Natl Acad Sci U S A       Date:  2013-10-14       Impact factor: 11.205

5.  Spatial and temporal codes mediate the tactile perception of natural textures.

Authors:  Alison I Weber; Hannes P Saal; Justin D Lieber; Ju-Wen Cheng; Louise R Manfredi; John F Dammann; Sliman J Bensmaia
Journal:  Proc Natl Acad Sci U S A       Date:  2013-09-30       Impact factor: 11.205

Review 6.  Neural Basis of Touch and Proprioception in Primate Cortex.

Authors:  Benoit P Delhaye; Katie H Long; Sliman J Bensmaia
Journal:  Compr Physiol       Date:  2018-09-14       Impact factor: 9.090

Review 7.  Tactile intensity and population codes.

Authors:  Sliman J Bensmaia
Journal:  Behav Brain Res       Date:  2008-03-12       Impact factor: 3.332

8.  Sensory adaptation to electrical stimulation of the somatosensory nerves.

Authors:  Emily L Graczyk; Benoit P Delhaye; Matthew A Schiefer; Sliman J Bensmaia; Dustin J Tyler
Journal:  J Neural Eng       Date:  2018-03-19       Impact factor: 5.379

9.  Encoding intensity in ventral cochlear nucleus following acoustic trauma: implications for loudness recruitment.

Authors:  Shanqing Cai; Wei-Li D Ma; Eric D Young
Journal:  J Assoc Res Otolaryngol       Date:  2008-10-15

10.  Real-time implementation of biofidelic SA1 model for tactile feedback.

Authors:  A F Russell; R S Armiger; R J Vogelstein; S J Bensmaia; R Etienne-Cummings
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2009
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.