Emergence of neural encoding of auditory objects while listening to competing speakers

A visual scene is perceived in terms of visual objects. Similar ideas have been proposed for the analogous case of auditory scene analysis, although their hypothesized neural underpinnings have not yet been established. Here, we address this question by recording from subjects selectively listening...

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Published inProceedings of the National Academy of Sciences - PNAS Vol. 109; no. 29; pp. 11854 - 11859
Main Authors Ding, Nai, Simon, Jonathan Z
Format Journal Article
LanguageEnglish
Published United States National Academy of Sciences 17.07.2012
National Acad Sciences
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Summary:A visual scene is perceived in terms of visual objects. Similar ideas have been proposed for the analogous case of auditory scene analysis, although their hypothesized neural underpinnings have not yet been established. Here, we address this question by recording from subjects selectively listening to one of two competing speakers, either of different or the same sex, using magnetoencephalography. Individual neural representations are seen for the speech of the two speakers, with each being selectively phase locked to the rhythm of the corresponding speech stream and from which can be exclusively reconstructed the temporal envelope of that speech stream. The neural representation of the attended speech dominates responses (with latency near 100 ms) in posterior auditory cortex. Furthermore, when the intensity of the attended and background speakers is separately varied over an 8-dB range, the neural representation of the attended speech adapts only to the intensity of that speaker but not to the intensity of the background speaker, suggesting an object-level intensity gain control. In summary, these results indicate that concurrent auditory objects, even if spectrotemporally overlapping and not resolvable at the auditory periphery, are neurally encoded individually in auditory cortex and emerge as fundamental representational units for top-down attentional modulation and bottom-up neural adaptation.
Bibliography:http://dx.doi.org/10.1073/pnas.1205381109
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Author contributions: N.D. and J.Z.S. designed research, performed research, contributed new reagents/analytic tools, analyzed data, and wrote the paper.
Edited by Thomas D. Albright, The Salk Institute for Biological Studies, La Jolla, CA, and approved June 6, 2012 (received for review April 5, 2012)
ISSN:0027-8424
1091-6490
1091-6490
DOI:10.1073/pnas.1205381109