Literature DB >> 19144834

A spike-timing code for discriminating conspecific vocalizations in the thalamocortical system of anesthetized and awake guinea pigs.

Chloé Huetz1, Bénédicte Philibert, Jean-Marc Edeline.   

Abstract

Understanding how communication sounds are processed and encoded in the central auditory system is critical to understanding the neural bases of acoustic communication. Here, we examined neuronal representations of species-specific vocalizations, which are communication sounds that many species rely on for survival and social interaction. In some species, the evoked responses of auditory cortex neurons are stronger in response to natural conspecific vocalizations than to their time-reversed, spectrally identical, counterparts. We applied information theory-based analyses to single-unit spike trains collected in the auditory cortex (n = 139) and auditory thalamus (n = 135) of anesthetized animals as well as in the auditory cortex (n = 119) of awake guinea pigs during presentation of four conspecific vocalizations. Few thalamic and cortical cells (<10%) displayed a firing rate preference for the natural version of these vocalizations. In contrast, when the information transmitted by the spike trains was quantified with a temporal precision of 10-50 ms, many cells (>75%) displayed a significant amount of information (i.e., >2SD above chance levels), especially in the awake condition. The computed correlation index between spike trains (R(corr), defined by Schreiber et al., 2003) indicated similar spike-timing reliability for both the natural and time-reversed versions of each vocalization, but higher reliability for awake animals compared with anesthetized animals. Based on temporal discharge patterns, even cells that were only weakly responsive to vocalizations displayed a significant level of information. These findings emphasize the importance of temporal discharge patterns as a coding mechanism for natural communication sounds, particularly in awake animals.

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Year:  2009        PMID: 19144834      PMCID: PMC6664951          DOI: 10.1523/JNEUROSCI.3269-08.2009

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


  58 in total

1.  Stimulus-specific effects of noradrenaline in auditory cortex: implications for the discrimination of communication sounds.

Authors:  Quentin Gaucher; Jean-Marc Edeline
Journal:  J Physiol       Date:  2014-12-18       Impact factor: 5.182

2.  A possible role for a paralemniscal auditory pathway in the coding of slow temporal information.

Authors:  Daniel A Abrams; Trent Nicol; Steven Zecker; Nina Kraus
Journal:  Hear Res       Date:  2010-11-20       Impact factor: 3.208

3.  Ability of primary auditory cortical neurons to detect amplitude modulation with rate and temporal codes: neurometric analysis.

Authors:  Jeffrey S Johnson; Pingbo Yin; Kevin N O'Connor; Mitchell L Sutter
Journal:  J Neurophysiol       Date:  2012-03-14       Impact factor: 2.714

4.  Transformation of temporal processing across auditory cortex of awake macaques.

Authors:  Brian H Scott; Brian J Malone; Malcolm N Semple
Journal:  J Neurophysiol       Date:  2010-11-24       Impact factor: 2.714

5.  Subset of thin spike cortical neurons preserve the peripheral encoding of stimulus onsets.

Authors:  Frank G Lin; Robert C Liu
Journal:  J Neurophysiol       Date:  2010-10-13       Impact factor: 2.714

6.  Emergence of invariant representation of vocalizations in the auditory cortex.

Authors:  Isaac M Carruthers; Diego A Laplagne; Andrew Jaegle; John J Briguglio; Laetitia Mwilambwe-Tshilobo; Ryan G Natan; Maria N Geffen
Journal:  J Neurophysiol       Date:  2015-08-26       Impact factor: 2.714

7.  Cortical inhibition reduces information redundancy at presentation of communication sounds in the primary auditory cortex.

Authors:  Quentin Gaucher; Chloé Huetz; Boris Gourévitch; Jean-Marc Edeline
Journal:  J Neurosci       Date:  2013-06-26       Impact factor: 6.167

8.  Spike train analysis toolkit: enabling wider application of information-theoretic techniques to neurophysiology.

Authors:  David H Goldberg; Jonathan D Victor; Esther P Gardner; Daniel Gardner
Journal:  Neuroinformatics       Date:  2009-05-28

9.  Detection and identification of speech sounds using cortical activity patterns.

Authors:  T M Centanni; A M Sloan; A C Reed; C T Engineer; R L Rennaker; M P Kilgard
Journal:  Neuroscience       Date:  2013-11-26       Impact factor: 3.590

Review 10.  Subcortical pathways: Towards a better understanding of auditory disorders.

Authors:  Richard A Felix; Boris Gourévitch; Christine V Portfors
Journal:  Hear Res       Date:  2018-01-31       Impact factor: 3.208

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