A rate-independent measure of irregularity for event series and its application to neural spiking activity

Keiji Miura, Naoshige Uchida

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Although higher-order statistics of neuronal firing have been characterized in neuroscience, many analyses ignore the nonstationarity of the background firing rate. We discuss how to measure the irregularity of interspike intervals in a rateindependent manner. Under the framework of semiparametric statistical models, we develop an estimator of firing irregularity which remains after the effects of rate modulations are removed. We found that firing irregularity is robust and reproducible in neurons in olfactory cortex irrespective of the rate modulation during the task period. As the level of irregularity varies among neurons, we classified neurons in olfactory cortex by using the proposed measure as a feature.

Original languageEnglish
Title of host publicationProceedings of the 47th IEEE Conference on Decision and Control, CDC 2008
Pages2006-2011
Number of pages6
DOIs
Publication statusPublished - 2008 Dec 1
Event47th IEEE Conference on Decision and Control, CDC 2008 - Cancun, Mexico
Duration: 2008 Dec 92008 Dec 11

Publication series

NameProceedings of the IEEE Conference on Decision and Control
ISSN (Print)0191-2216

Other

Other47th IEEE Conference on Decision and Control, CDC 2008
CountryMexico
CityCancun
Period08/12/908/12/11

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modelling and Simulation
  • Control and Optimization

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