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Detecting and representing predictable structure during auditory scene analysis

Sohoglu, E; Chait, M; (2016) Detecting and representing predictable structure during auditory scene analysis. eLife , 5 , Article e19113. 10.7554/eLife.19113. Green open access

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Abstract

We use psychophysics and MEG to test how sensitivity to input statistics facilitates auditory-scene-analysis (ASA). Human subjects listened to ‘scenes’ comprised of concurrent tone-pip streams (sources). On occasional trials a new source appeared partway. Listeners were more accurate and quicker to detect source appearance in scenes comprised of temporally-regular (REG), rather than random (RAND), sources. MEG in passive listeners and those actively detecting appearance events revealed increased sustained activity in auditory and parietal cortex in REG relative to RAND scenes, emerging ~400 ms of scene-onset. Over and above this, appearance in REG scenes was associated with increased responses relative to RAND scenes. The effect of temporal structure on appearance-evoked responses was delayed when listeners were focused on the scenes relative to when listening passively, consistent with the notion that attention reduces ‘surprise’. Overall, the results implicate a mechanism that tracks predictability of multiple concurrent sources to facilitate active and passive ASA.

Type: Article
Title: Detecting and representing predictable structure during auditory scene analysis
Open access status: An open access version is available from UCL Discovery
DOI: 10.7554/eLife.19113
Publisher version: http://dx.doi.org/10.7554/eLife.19113
Language: English
Additional information: Copyright © 2016, Sohoglu et al. This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use and redistribution provided that the original author and source are credited.
Keywords: Science & Technology, Life Sciences & Biomedicine, Biology, Life Sciences & Biomedicine - Other Topics, Evoked-potentials, Temporal Predictability, Repetition Suppression, Underlying Mechanisms, Source Reconstruction, Neural Dynamics, Visual-cortex, Meg-data, Attention, Perception
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > The Ear Institute
URI: https://discovery.ucl.ac.uk/id/eprint/1514546
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