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Decoding neural responses to temporal cues for sound localization

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Title: Decoding neural responses to temporal cues for sound localization
Author(s): Goodman, DF
Benichoux, V
Brette, R
Item Type: Journal Article
Abstract: The activity of sensory neural populations carries information about the environment. This may be extracted from neural activity using different strategies. In the auditory brainstem, a recent theory proposes that sound location in the horizontal plane is decoded from the relative summed activity of two populations in each hemisphere, whereas earlier theories hypothesized that the location was decoded from the identity of the most active cells. We tested the performance of various decoders of neural responses in increasingly complex acoustical situations, including spectrum variations, noise, and sound diffraction. We demonstrate that there is insufficient information in the pooled activity of each hemisphere to estimate sound direction in a reliable way consistent with behavior, whereas robust estimates can be obtained from neural activity by taking into account the heterogeneous tuning of cells. These estimates can still be obtained when only contralateral neural responses are used, consistently with unilateral lesion studies. DOI: http://dx.doi.org/10.7554/eLife.01312.001.
Publication Date: 3-Dec-2013
Date of Acceptance: 3-Dec-2013
URI: http://hdl.handle.net/10044/1/40618
DOI: http://dx.doi.org/10.7554/eLife.01312
ISSN: 2050-084X
Publisher: eLife Sciences Publications
Journal / Book Title: eLife
Volume: 2
Copyright Statement: © 2013, Goodman et al. This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.
Keywords: audition
neural coding
sound localization
Acoustics
Animals
Auditory Perception
Humans
Noise
Animals
Humans
Auditory Perception
Noise
Acoustics
Publication Status: Published
Article Number: e01312
Appears in Collections:Faculty of Engineering
Electrical and Electronic Engineering



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