Literature DB >> 190681

Amplitude spectrum representation in the Doppler-shifted-CF processing area of the auditory cortex of the mustache bat.

N Suga.   

Abstract

The mustache bat, Pteronotus parnellii rubiginosus, emits orientation sounds containing a long constant-frequency (CF) component that is ideal for echo detection and Doppler shift measurement. About 30 percent of the primary auditory cortex of this bat is chiefly devoted to processing the second harmonic of the CF component in Doppler-shifted echoes. In this Doppler-shifted-CF processing area, single neurons recorded in any electrode penetration perpendicular to the cortical surface have nearly identical best frequencies and best amplitudes (or best pressure levels) at which the neurons show maximum excitation. The best frequency and best amplitude vary systematically with the location of the neurons in the cerebral cortex, so that there are tonotopic and "amplitopic" representation axes, which are radial and eccentric, respectively. In other words, the best-frequency and best-amplitude contours are eccentric and radial, respectively. The amplitude spectrum of a signal is thus represented in the coordinates of amplitude and frequency parallel to the cortical surface. This amplitude spectrum representation is disproportionate according to perceptual significance, so that a signal of 61.5 to 62.0 kilohertz and 30 to 50 decibels SPL (sound pressure level) is projected to a larger area than other signals. Just outside this Doppler-shifted-CF processing area, neurons are found which are specialized for responding to a particular information-bearing element or a particular combination of information-bearing elements in orientation sounds and echoes consisting of CF and frequency-modulated components.

Mesh:

Year:  1977        PMID: 190681     DOI: 10.1126/science.190681

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  19 in total

1.  Functional topography of cat primary auditory cortex: representation of tone intensity.

Authors:  C E Schreiner; J R Mendelson; M L Sutter
Journal:  Exp Brain Res       Date:  1992       Impact factor: 1.972

2.  Level-tuned neurons in primary auditory cortex adapt differently to loud versus soft sounds.

Authors:  Paul V Watkins; Dennis L Barbour
Journal:  Cereb Cortex       Date:  2010-05-10       Impact factor: 5.357

3.  Level-tolerant duration selectivity in the auditory cortex of the velvety free-tailed bat Molossus molossus.

Authors:  Silvio Macías; Annette Hernández-Abad; Julio C Hechavarría; Manfred Kössl; Emanuel C Mora
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2015-03-01       Impact factor: 1.836

4.  Associative learning shapes the neural code for stimulus magnitude in primary auditory cortex.

Authors:  Daniel B Polley; Marc A Heiser; David T Blake; Christoph E Schreiner; Michael M Merzenich
Journal:  Proc Natl Acad Sci U S A       Date:  2004-11-08       Impact factor: 11.205

5.  Asymmetry in corticofugal modulation of frequency-tuning in mustached bat auditory system.

Authors:  Zhongju Xiao; Nobuo Suga
Journal:  Proc Natl Acad Sci U S A       Date:  2005-12-27       Impact factor: 11.205

6.  Response properties of single neurons in higher level auditory cortex of adult songbirds.

Authors:  Sarah W Bottjer; Andrew A Ronald; Tiara Kaye
Journal:  J Neurophysiol       Date:  2018-11-21       Impact factor: 2.714

7.  Feature extraction and tonotopic organization in the avian auditory forebrain.

Authors:  C M Müller; H J Leppelsack
Journal:  Exp Brain Res       Date:  1985       Impact factor: 1.972

8.  Decoding sound level in the marmoset primary auditory cortex.

Authors:  Wensheng Sun; Ellisha N Marongelli; Paul V Watkins; Dennis L Barbour
Journal:  J Neurophysiol       Date:  2017-07-12       Impact factor: 2.714

9.  Processing of broadband stimuli across A1 layers in young and aged rats.

Authors:  Larry F Hughes; Jeremy G Turner; Jennifer L Parrish; Donald M Caspary
Journal:  Hear Res       Date:  2009-09-20       Impact factor: 3.208

10.  Linking the response properties of cells in auditory cortex with network architecture: cotuning versus lateral inhibition.

Authors:  Jaime de la Rocha; Cristina Marchetti; Max Schiff; Alex D Reyes
Journal:  J Neurosci       Date:  2008-09-10       Impact factor: 6.167

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