Literature DB >> 23954862

Increasing diversity of neural responses to speech sounds across the central auditory pathway.

K G Ranasinghe1, W A Vrana, C J Matney, M P Kilgard.   

Abstract

Neurons at higher stations of each sensory system are responsive to feature combinations not present at lower levels. As a result, the activity of these neurons becomes less redundant than lower levels. We recorded responses to speech sounds from the inferior colliculus and the primary auditory cortex neurons of rats, and tested the hypothesis that primary auditory cortex neurons are more sensitive to combinations of multiple acoustic parameters compared to inferior colliculus neurons. We independently eliminated periodicity information, spectral information and temporal information in each consonant and vowel sound using a noise vocoder. This technique made it possible to test several key hypotheses about speech sound processing. Our results demonstrate that inferior colliculus responses are spatially arranged and primarily determined by the spectral energy and the fundamental frequency of speech, whereas primary auditory cortex neurons generate widely distributed responses to multiple acoustic parameters, and are not strongly influenced by the fundamental frequency of speech. We found no evidence that inferior colliculus or primary auditory cortex was specialized for speech features such as voice onset time or formants. The greater diversity of responses in primary auditory cortex compared to inferior colliculus may help explain how the auditory system can identify a wide range of speech sounds across a wide range of conditions without relying on any single acoustic cue.
Copyright © 2013 IBRO. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  A1; ANOVA; F1; F2; IC; PSTH; analysis of variance; first formant; inferior colliculus; multiple acoustic parameters; neural response diversity; noise-vocoded speech; post stimulus time histogram; primary auditory cortex; rat auditory system; redundancy reduction; second formant

Mesh:

Year:  2013        PMID: 23954862      PMCID: PMC3795858          DOI: 10.1016/j.neuroscience.2013.08.005

Source DB:  PubMed          Journal:  Neuroscience        ISSN: 0306-4522            Impact factor:   3.590


  59 in total

1.  On the number of channels needed to understand speech.

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2.  Intracellular characterization of song-specific neurons in the zebra finch auditory forebrain.

Authors:  M S Lewicki
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3.  Cortical map reorganization enabled by nucleus basalis activity.

Authors:  M P Kilgard; M M Merzenich
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4.  Adjacent visual cortical complex cells share about 20% of their stimulus-related information.

Authors:  T J Gawne; T W Kjaer; J A Hertz; B J Richmond
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Review 5.  Neurobiology of speech perception.

Authors:  R H Fitch; S Miller; P Tallal
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6.  Attention-related modulation of activity in primary and secondary auditory cortex.

Authors:  C L Grady; J W Van Meter; J M Maisog; P Pietrini; J Krasuski; J P Rauschecker
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7.  Physiology of the young adult Fischer 344 rat inferior colliculus: responses to contralateral monaural stimuli.

Authors:  P S Palombi; D M Caspary
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9.  Mechanisms underlying the sensitivity of songbird forebrain neurons to temporal order.

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