Literature DB >> 6976799

A comparison of the spectro-temporal sensitivity of auditory neurons to tonal and natural stimuli.

A M Aertsen, P I Johannesma.   

Abstract

The spectro-temporal sensitivity of auditory neurons has been investigated experimentally by averaging the spectrograms of stimuli preceding the occurrence of action potentials or neural events ( the APES : Aertsen et al., 1980, 1981). The properties of the stimulus ensemble are contained in this measure of neural selectivity. The spectro-temporal receptive field (STRF) has been proposed as a theoretical concept which should give a stimulus-invariant representation of the second order characteristics of the neuron's system function (Aertsen and Johannesma, 1981). The present paper investigates the relation between the experimental and the theoretical description of the neuron's spectro-temporal sensitivity for sound. The aim is to derive a formally based stimulus-normalization procedure for the results of the experimental averaging procedure. Under particular assumptions, regarding both the neuron and the stimulus ensemble, an integral equation connecting the APES and the STRF is derived. This integral expression enables to calculate the APES from the STRF by taking into account the stimulus spectral composition and the characteristics of the spectrogram analysis. The inverse relation, i.e. starting from the experimental results and by application of a formal normalization procedure arriving at the theoretical STRF, is effectively hindered by the nature of the spectrogram analysis. An approximative "normalization" procedure, based on intuitive manipulation of the integral equation, has been applied to a number of single unit recordings from the grassfrog's auditory midbrain area to tonal and natural stimulus ensembles. The results indicate tha spectrogram analysis, while being a useful real-time tool in investigating the spectro-temporal transfer properties of auditory neurons, shows fundamental shortcomings for a theoretical treatment of the questions of interest.

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Year:  1981        PMID: 6976799     DOI: 10.1007/BF00336732

Source DB:  PubMed          Journal:  Biol Cybern        ISSN: 0340-1200            Impact factor:   2.086


  6 in total

Review 1.  Specialization of the auditory system for reception and processing of species-specific sounds.

Authors:  N Suga
Journal:  Fed Proc       Date:  1978-08

Review 2.  Auditory processing of biologically significant sounds.

Authors:  F G Worden; R Galambos
Journal:  Neurosci Res Program Bull       Date:  1972-02

3.  Spectro-temporal characteristics of single units in the auditory midbrain of the lightly anaesthetised grass frog (Rana temporaria L) investigated with noise stimuli.

Authors:  D J Hermes; A M Aertsen; P I Johannesma; J J Eggermont
Journal:  Hear Res       Date:  1981-11       Impact factor: 3.208

4.  Spectro-temporal receptive fields of auditory neurons in the grassfrog. III. Analysis of the stimulus-event relation for natural stimuli.

Authors:  A M Aertsen; J H Olders; P I Johannesma
Journal:  Biol Cybern       Date:  1981       Impact factor: 2.086

5.  The spectro-temporal receptive field. A functional characteristic of auditory neurons.

Authors:  A M Aertsen; P I Johannesma
Journal:  Biol Cybern       Date:  1981       Impact factor: 2.086

6.  The phonochrome: a coherent spectro-temporal representation of sound.

Authors:  P Johannesma; A D Aertsen; B Cranen; L Van Erning
Journal:  Hear Res       Date:  1981-11       Impact factor: 3.208

  6 in total
  18 in total

1.  Spectral-temporal receptive fields of nonlinear auditory neurons obtained using natural sounds.

Authors:  F E Theunissen; K Sen; A J Doupe
Journal:  J Neurosci       Date:  2000-03-15       Impact factor: 6.167

2.  Robust spectrotemporal reverse correlation for the auditory system: optimizing stimulus design.

Authors:  D J Klein; D A Depireux; J Z Simon; S A Shamma
Journal:  J Comput Neurosci       Date:  2000 Jul-Aug       Impact factor: 1.621

3.  Natural stimulus statistics alter the receptive field structure of v1 neurons.

Authors:  Stephen V David; William E Vinje; Jack L Gallant
Journal:  J Neurosci       Date:  2004-08-04       Impact factor: 6.167

4.  Stimulus-invariant processing and spectrotemporal reverse correlation in primary auditory cortex.

Authors:  David J Klein; Jonathan Z Simon; Didier A Depireux; Shihab A Shamma
Journal:  J Comput Neurosci       Date:  2006-02-20       Impact factor: 1.621

5.  Response linearity in primary auditory cortex of the ferret.

Authors:  Bashir Ahmed; Jose A Garcia-Lazaro; Jan W H Schnupp
Journal:  J Physiol       Date:  2006-05-01       Impact factor: 5.182

6.  Detection and estimation of neural connectivity based on crosscorrelation analysis.

Authors:  W J Melssen; W J Epping
Journal:  Biol Cybern       Date:  1987       Impact factor: 2.086

7.  Neural representation of natural images in visual area V2.

Authors:  Ben D B Willmore; Ryan J Prenger; Jack L Gallant
Journal:  J Neurosci       Date:  2010-02-10       Impact factor: 6.167

8.  The RF-cinematogram. A cross-correlation technique for mapping several visual receptive fields at once.

Authors:  R Eckhorn; F Krause; J I Nelson
Journal:  Biol Cybern       Date:  1993       Impact factor: 2.086

9.  The neurochrome. An identity preserving representation of activity patterns from neural populations.

Authors:  W Epping; H van den Boogaard; A Aertsen; J Eggermont; P Johannesma
Journal:  Biol Cybern       Date:  1984       Impact factor: 2.086

10.  Dynamics of spectro-temporal tuning in primary auditory cortex of the awake ferret.

Authors:  B Shechter; H D Dobbins; P Marvit; D A Depireux
Journal:  Hear Res       Date:  2009-07-18       Impact factor: 3.208

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