Literature DB >> 9772267

Azimuth coding in primary auditory cortex of the cat. I. Spike synchrony versus spike count representations.

J J Eggermont1, J E Mossop.   

Abstract

The neural representation of sound azimuth in auditory cortex most often is considered to be average firing rate, and azimuth tuning curves based thereupon appear to be rather broad. Coincident firings of simultaneously recorded neurons could provide an improved representation of sound azimuth compared with that contained in the firing rate in either of the units. In the present study, a comparison was made between local field potentials and several measures based on unit firing rate and coincident firing with respect to their azimuth-tuning curve bandwidth. Noise bursts, covering a 60-dB intensity range, were presented from nine speakers arranged in a semicircular array with a radius of 55 cm in the animal's frontal half field. At threshold intensities, all local field potential (LFP) recordings showed preferences for contralateral azimuths. Multiunit recordings showed in 74% a threshold for contralateral azimuths, in 16% for frontal azimuths, and in only 5% showed an ipsilateral threshold. The remaining 5% were not spatially tuned. Representations for directionally sensitive units based on coincident firings provided significantly sharper tuning (50-60 degrees bandwidth at 25 dB above the lowest threshold) than those based on firing rate (bandwidths of 80-90 degrees). The ability to predict sound azimuth from the directional information contained in the neural population activity was simulated by combining the responses of the 102 single units. Peak firing rates and coincident firings with LFPs at the preferred azimuth for each unit were used to construct a population vector. At stimulus levels of >/=40 dB SPL, the prediction function was sigmoidal with the predicted frontal azimuth coinciding with the frontal speaker position. Sound azimuths >45 degrees from the midline all resulted in predicted values of -90 or 90 degrees, respectively. No differences were observed in the performance of the prediction based on firing rate or coincident firings for these intensities. This suggests that although coincident firings produce narrower azimuth tuning curves, the information contained in the overall neural population does not increase compared with that contained in a firing rate representation. The relatively poor performance of the population vector further suggests that primary auditory cortex does not code sound azimuth by a globally distributed measure of peak firing rate or coincident firing.

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Mesh:

Year:  1998        PMID: 9772267     DOI: 10.1152/jn.1998.80.4.2133

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


  6 in total

1.  Systematic representation of sound locations in the primary auditory cortex.

Authors:  Khaleel A Razak
Journal:  J Neurosci       Date:  2011-09-28       Impact factor: 6.167

2.  Level dependence of spatial processing in the primate auditory cortex.

Authors:  Yi Zhou; Xiaoqin Wang
Journal:  J Neurophysiol       Date:  2012-05-16       Impact factor: 2.714

3.  The effects of interaural time difference and intensity on the coding of low-frequency sounds in the mammalian midbrain.

Authors:  Domonkos Horvath; Nicholas A Lesica
Journal:  J Neurosci       Date:  2011-03-09       Impact factor: 6.167

4.  A rate code for sound azimuth in monkey auditory cortex: implications for human neuroimaging studies.

Authors:  Uri Werner-Reiss; Jennifer M Groh
Journal:  J Neurosci       Date:  2008-04-02       Impact factor: 6.167

5.  The synaptic representation of sound source location in auditory cortex.

Authors:  Paul Chadderton; John P Agapiou; David McAlpine; Troy W Margrie
Journal:  J Neurosci       Date:  2009-11-11       Impact factor: 6.167

6.  Temporal coding of echo spectral shape in the bat auditory cortex.

Authors:  Silvio Macias; Kushal Bakshi; Francisco Garcia-Rosales; Julio C Hechavarria; Michael Smotherman
Journal:  PLoS Biol       Date:  2020-11-10       Impact factor: 8.029

  6 in total

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