Literature DB >> 12904480

Auditory cortical responses elicited in awake primates by random spectrum stimuli.

Dennis L Barbour1, Xiaoqin Wang.   

Abstract

Contrary to findings in subcortical auditory nuclei, auditory cortex neurons have traditionally been described as spiking only at the onsets of simple sounds such as pure tones or bandpass noise and to acoustic transients in complex sounds. Furthermore, primary auditory cortex (A1) has traditionally been described as mostly tone responsive and the lateral belt area of primates as mostly noise responsive. The present study was designed to unify the study of these two cortical areas using random spectrum stimuli (RSS), a new class of parametric, wideband, stationary acoustic stimuli. We found that 60% of all neurons encountered in A1 and the lateral belt of awake marmoset monkeys (Callithrix jacchus) showed significant changes in firing rates in response to RSS. Of these, 89% showed sustained spiking in response to one or more individual RSS, a substantially greater percentage than would be expected from traditional studies, indicating that RSS are well suited for studying these two cortical areas. When firing rates elicited by RSS were used to construct linear estimates of frequency tuning for these sustained responders, the shape of the estimate function remained relatively constant throughout the stimulus interval and across the stimulus properties of mean sound level, spectral density, and spectral contrast. This finding indicates that frequency tuning computed from RSS reflects a robust estimate of the actual tuning of a neuron. Use of this estimate to predict rate responses to other RSS, however, yielded poor results, implying that auditory cortex neurons integrate information across frequency nonlinearly. No systematic difference in prediction quality between A1 and the lateral belt could be detected.

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Year:  2003        PMID: 12904480      PMCID: PMC1945239     

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


  59 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.  Neural sensitivity to interaural time differences: beyond the Jeffress model.

Authors:  D C Fitzpatrick; S Kuwada; R Batra
Journal:  J Neurosci       Date:  2000-02-15       Impact factor: 6.167

3.  Membrane potential and firing rate in cat primary visual cortex.

Authors:  M Carandini; D Ferster
Journal:  J Neurosci       Date:  2000-01-01       Impact factor: 6.167

4.  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

5.  Temporal discharge patterns evoked by rapid sequences of wide- and narrowband clicks in the primary auditory cortex of cat.

Authors:  T Lu; X Wang
Journal:  J Neurophysiol       Date:  2000-07       Impact factor: 2.714

6.  Shapes and level tolerances of frequency tuning curves in primary auditory cortex: quantitative measures and population codes.

Authors:  M L Sutter
Journal:  J Neurophysiol       Date:  2000-08       Impact factor: 2.714

7.  Single unit activity in the auditory cortex of the cat.

Authors:  P W DAVIES; S D ERULKAR; J E ROSE
Journal:  Bull Johns Hopkins Hosp       Date:  1956-08

8.  Spectral-ripple representation of steady-state vowels in primary auditory cortex.

Authors:  H Versnel; S A Shamma
Journal:  J Acoust Soc Am       Date:  1998-05       Impact factor: 1.840

9.  Optimizing sound features for cortical neurons.

Authors:  R C deCharms; D T Blake; M M Merzenich
Journal:  Science       Date:  1998-05-29       Impact factor: 47.728

10.  Coding of sound-source location by ensembles of cortical neurons.

Authors:  S Furukawa; L Xu; J C Middlebrooks
Journal:  J Neurosci       Date:  2000-02-01       Impact factor: 6.167

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  29 in total

1.  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

2.  Contribution of inhibition to stimulus selectivity in primary auditory cortex of awake primates.

Authors:  Srivatsun Sadagopan; Xiaoqin Wang
Journal:  J Neurosci       Date:  2010-05-26       Impact factor: 6.167

3.  Spectral and temporal processing in rat posterior auditory cortex.

Authors:  Pritesh K Pandya; Daniel L Rathbun; Raluca Moucha; Navzer D Engineer; Michael P Kilgard
Journal:  Cereb Cortex       Date:  2007-07-05       Impact factor: 5.357

4.  Auditory cortical plasticity in learning to discriminate modulation rate.

Authors:  Virginie van Wassenhove; Srikantan S Nagarajan
Journal:  J Neurosci       Date:  2007-03-07       Impact factor: 6.167

5.  Nonlinear temporal receptive fields of neurons in the dorsal cochlear nucleus.

Authors:  Sharba Bandyopadhyay; Eric D Young
Journal:  J Neurophysiol       Date:  2013-08-28       Impact factor: 2.714

6.  Organizing principles of spectro-temporal encoding in the avian primary auditory area field L.

Authors:  Katherine I Nagel; Allison J Doupe
Journal:  Neuron       Date:  2008-06-26       Impact factor: 17.173

Review 7.  Neural coding of temporal information in auditory thalamus and cortex.

Authors:  X Wang; T Lu; D Bendor; E Bartlett
Journal:  Neuroscience       Date:  2008-04-07       Impact factor: 3.590

8.  Cell-specific activity-dependent fractionation of layer 2/3→5B excitatory signaling in mouse auditory cortex.

Authors:  Ankur Joshi; Jason W Middleton; Charles T Anderson; Katharine Borges; Benjamin A Suter; Gordon M G Shepherd; Thanos Tzounopoulos
Journal:  J Neurosci       Date:  2015-02-18       Impact factor: 6.167

9.  Neural correlates of the lombard effect in primate auditory cortex.

Authors:  Steven J Eliades; Xiaoqin Wang
Journal:  J Neurosci       Date:  2012-08-01       Impact factor: 6.167

10.  Patterned tone sequences reveal non-linear interactions in auditory spectrotemporal receptive fields in the inferior colliculus.

Authors:  W Owen Brimijoin; William E O'Neill
Journal:  Hear Res       Date:  2010-04-27       Impact factor: 3.208

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