The University of Southampton
University of Southampton Institutional Repository

An exact method of regularity analysis for auditory brainstem neurons

Wright, M.C.M., Bleeck, S. and Winter, I. M. (2011) An exact method of regularity analysis for auditory brainstem neurons Journal of the Acoustical Society of America, 130, (6), pp. 3545-3548. (doi:10.1121/1.3652890). (PMID:22225008).

Record type: Article


The standard regularity analysis for spike trains in cochlear nucleus neurons evoked by tonebursts first proposed by Bourk is widely used, primarily as one of the criteria for classification of such neurons. It is shown that this procedure does not estimate quite what it is supposed to, and introduces unnecessary noise to its results due to its use of bins. Instead the desired quantities (mean and coefficient of variation of the lengths of all inter-spike intervals in progress as a function of time since stimulus onset) can all be exactly calculated directly from the spike train without the need for data binning. The implications for classification and other studies are discussed.

Text regularity_revised.pdf - Author's Original
Restricted to Registered users only
Download (321kB)

More information

Accepted/In Press date: 26 September 2011
Organisations: Acoustics Group


Local EPrints ID: 300460
ISSN: 0001-4966
PURE UUID: 4eb12c5b-a5f0-4020-aced-c084e2b88f02
ORCID for S. Bleeck: ORCID iD

Catalogue record

Date deposited: 22 Feb 2012 11:55
Last modified: 03 Oct 2017 16:40

Export record



Author: M.C.M. Wright
Author: S. Bleeck ORCID iD
Author: I. M. Winter

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton:

ePrints Soton supports OAI 2.0 with a base URL of

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.