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Tuning of human modulation filters is carrier-frequency dependent

Simpson, AJ; Reiss, JD; McAlpine, D; (2013) Tuning of human modulation filters is carrier-frequency dependent. PLoS One , 8 (8) , Article e73590. 10.1371/journal.pone.0073590. Green open access

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Abstract

Recent studies employing speech stimuli to investigate 'cocktail-party' listening have focused on entrainment of cortical activity to modulations at syllabic (5 Hz) and phonemic (20 Hz) rates. The data suggest that cortical modulation filters (CMFs) are dependent on the sound-frequency channel in which modulations are conveyed, potentially underpinning a strategy for separating speech from background noise. Here, we characterize modulation filters in human listeners using a novel behavioral method. Within an 'inverted' adaptive forced-choice increment detection task, listening level was varied whilst contrast was held constant for ramped increments with effective modulation rates between 0.5 and 33 Hz. Our data suggest that modulation filters are tonotopically organized (i.e., vary along the primary, frequency-organized, dimension). This suggests that the human auditory system is optimized to track rapid (phonemic) modulations at high sound-frequencies and slow (prosodic/syllabic) modulations at low frequencies.

Type: Article
Title: Tuning of human modulation filters is carrier-frequency dependent
Open access status: An open access version is available from UCL Discovery
DOI: 10.1371/journal.pone.0073590
Publisher version: http://dx.doi.org/10.1371/journal.pone.0073590
Language: English
Additional information: © 2013 Simpson et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
UCL classification: UCL
UCL > Provost and Vice Provost Offices
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
URI: https://discovery.ucl.ac.uk/id/eprint/1404683
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