Literature DB >> 7500165

Comparison of noise and tone azimuth tuning of neurons in cat primary auditory cortex and medical geniculate body.

J C Clarey1, P Barone, W A Irons, F K Samson, T J Imig.   

Abstract

1. A comparison of the azimuth tuning of single neurons to broadband noise and to best frequency (BF) tone bursts was made in primary auditory cortex (AI: n = 173) and the medial geniculate body (MGB: n = 52) of barbiturate-anesthetized cats. Observations were largely restricted to cells located within the tonotopically organized divisions of the MGB (i.e., the ventral nucleus and the lateral division of the posterior nuclear group) and the middle layers of AI. All cells studied had BFs > or = 4 kHz. 2. The responses of each cell to sounds presented from seven frontal azimuthal locations (-90 to +90 degrees in 30 degrees steps; 0 degree elevation) and at five sound pressure levels (SPLs: 0-80 dB or 5-85 dB in 20-dB steps) provided an azimuth-level data set. Responses were averaged over SPL to obtain an azimuth function, and a number of features of this function were used to describe azimuth tuning to noise and to tone stimulation. Azimuth function modulation was used to assess azimuth sensitivity, and cells were categorized as sensitive or insensitive depending on whether modulation was > or = 75% or < 75% of maximum, respectively. The majority (88%) of cells in the sample were azimuth sensitive to noise stimulation, and statistical analyses were restricted to these cells, which are presumably best suited to encode sound source azimuth. Azimuth selectivity was assessed by a preferred azimuth range (PAR) over which azimuth function values exceeded 75% (PAR75) or 50% of maximum response. Cells were categorized according to the location and extent of their noise PARs. Unbounded cells had laterally located PARs that extended to the lateral pole (+/- 90 degrees); bounded cells had PARs that were contained entirely within the frontal hemifield, and a subset of these had PARs centered on the midline (+/- 15 degrees). A final group of cells exhibited multipeaked azimuth functions to noise stimulation. 3. Azimuth functions to noise were generally more selective and/or more sensitive than those to tones. Statistical analyses showed that these differences were significant for cells in each azimuth function category, and for the thalamic and cortical samples. With the exception of multipeaked cells, responsiveness to noise was significantly lower than that to tones in all categories, and for the thalamic and cortical samples.(ABSTRACT TRUNCATED AT 400 WORDS)

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Year:  1995        PMID: 7500165     DOI: 10.1152/jn.1995.74.3.961

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


  9 in total

1.  GABA shapes a systematic map of binaural sensitivity in the auditory cortex.

Authors:  Khaleel A Razak; Zoltan M Fuzessery
Journal:  J Neurophysiol       Date:  2010-05-19       Impact factor: 2.714

2.  Mechanisms underlying azimuth selectivity in the auditory cortex of the pallid bat.

Authors:  K A Razak
Journal:  Hear Res       Date:  2012-05-26       Impact factor: 3.208

3.  Stimulus-frequency-dependent dominance of sound localization cues across the cochleotopic map of the inferior colliculus.

Authors:  Ryan Dorkoski; Kenneth E Hancock; Gareth A Whaley; Timothy R Wohl; Noelle C Stroud; Mitchell L Day
Journal:  J Neurophysiol       Date:  2020-03-18       Impact factor: 2.714

4.  Species Differences in the Organization of the Ventral Cochlear Nucleus.

Authors:  Joan S Baizer; Keit Men Wong; Richard J Salvi; Senthilvelan Manohar; Chet C Sherwood; Patrick R Hof; James F Baker; Sandra F Witelson
Journal:  Anat Rec (Hoboken)       Date:  2018-01-06       Impact factor: 2.064

5.  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

Review 6.  The organization and physiology of the auditory thalamus and its role in processing acoustic features important for speech perception.

Authors:  Edward L Bartlett
Journal:  Brain Lang       Date:  2013-07       Impact factor: 2.381

7.  Decoding sound source location and separation using neural population activity patterns.

Authors:  Mitchell L Day; Bertrand Delgutte
Journal:  J Neurosci       Date:  2013-10-02       Impact factor: 6.167

8.  Responses of neurons in the marmoset primary auditory cortex to interaural level differences: comparison of pure tones and vocalizations.

Authors:  Leo L Lui; Yasamin Mokri; David H Reser; Marcello G P Rosa; Ramesh Rajan
Journal:  Front Neurosci       Date:  2015-04-20       Impact factor: 4.677

9.  A population rate code of auditory space in the human cortex.

Authors:  Nelli H Salminen; Patrick J C May; Paavo Alku; Hannu Tiitinen
Journal:  PLoS One       Date:  2009-10-26       Impact factor: 3.240

  9 in total

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