Improving the entropy estimate of neuronal firings of modeled cochlear nucleus neurons

Andrea Grigorescu, Marek Rudnicki, Michael Isik, Werner Hemmert, Stefano Rini

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

Abstract

In this correspondence information theoretical tools are used to investigate the statistical properties of modeled cochlear nu-cleus globular bushy cell spike trains. The firing patterns are obtained from a simulation software that generates sam-ple spike trains from any auditory input. Here we analyze for the first time the responses of globular bushy cells to voiced and unvoiced speech sounds. Classical entropy estimates, such as the direct method, are improved upon by considering a time-varying and time-dependent entropy estimate. With this new method we investigated the relationship between the pre-dictability of the neuronal response and the frequency content in the auditory signals. The analysis quantifies the temporal pre-cision of the neuronal coding and the memory in the neuronal response.

Original languageEnglish
Title of host publication13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012
Pages1450-1453
Number of pages4
StatePublished - 2012
Event13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012 - Portland, OR, United States
Duration: 9 Sep 201213 Sep 2012

Publication series

Name13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012
Volume2

Conference

Conference13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012
Country/TerritoryUnited States
CityPortland, OR
Period9/09/1213/09/12

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