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Efficient Temporal Processing of Naturalistic Sounds

Lesica, NA; Grothe, B; (2008) Efficient Temporal Processing of Naturalistic Sounds. PLOS ONE , 3 (2) , Article e1655. 10.1371/journal.pone.0001655. Green open access

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Abstract

In this study, we investigate the ability of the mammalian auditory pathway to adapt its strategy for temporal processing under natural stimulus conditions. We derive temporal receptive fields from the responses of neurons in the inferior colliculus to vocalization stimuli with and without additional ambient noise. We find that the onset of ambient noise evokes a change in receptive field dynamics that corresponds to a change from bandpass to lowpass temporal filtering. We show that these changes occur within a few hundred milliseconds of the onset of the noise and are evident across a range of overall stimulus intensities. Using a simple model, we illustrate how these changes in temporal processing exploit differences in the statistical properties of vocalizations and ambient noises to increase the information in the neural response in a manner consistent with the principles of efficient coding.

Type: Article
Title: Efficient Temporal Processing of Naturalistic Sounds
Open access status: An open access version is available from UCL Discovery
DOI: 10.1371/journal.pone.0001655
Publisher version: http://dx.doi.org/10.1371/journal.pone.0001655
Language: English
Additional information: © 2008 Lesica, Grothe. 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. NAL and BG were supported by the Bernstein Center for Computational Neuroscience.
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/111962
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