Auditory information coding by cochlear nucleus onset neurons

Wang Huan, Marcus Holmberg, Werner Hemmert

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

In this paper we use information theory to quantify the information in the output spike trains of modeled cochlear nucleus onset neurons. Onset neurons are known for their precise temporal processing, and they code the periodicity of voiced speech with high fidelity. We conclude that the maximum information transmission rate for a single neuron is close to 1000 bits/s, which corresponds to 3.26 bits/spike. For quasi-periodic signals like voiced speech, the transmitted information saturates with word duration, with 90% of the information being transmitted within 73 ms. Information theory also shows that the maximum temporal resolution of onset neurons is approximately 0.1 ms.

Original languageEnglish
Title of host publication2006 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings
PagesV129-V132
StatePublished - 2006
Externally publishedYes
Event2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006 - Toulouse, France
Duration: 14 May 200619 May 2006

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume5
ISSN (Print)1520-6149

Conference

Conference2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006
Country/TerritoryFrance
CityToulouse
Period14/05/0619/05/06

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