Show simple item record

dc.contributor.authorWaddington, J
dc.contributor.authorHarris, Chris
dc.date.accessioned2017-02-03T17:34:26Z
dc.date.available2017-02-03T17:34:26Z
dc.date.issued2013-01-01
dc.identifier.issn0014-4819
dc.identifier.issn1432-1106
dc.identifier.urihttp://hdl.handle.net/10026.1/8352
dc.description.abstract

There is an interesting dichotomy between models that predict the quick phase interval durations (QPIDs) of human optokinetic nystagmus (OKN). Accumulator models describe a stochastic signal in a neural network that triggers a response once the signal reaches a fixed threshold value. However, it is also possible that quick phases are triggered after eye position reaches a variable amplitude threshold. In this study, we fitted a range of probability density functions previously predicted by stochastic models of OKN (including those of the reciprocal truncated Normal, inverse Gaussian, gamma, lognormal and the mixture of two reciprocal truncated Normal distributions) to individual QPID histograms. We compared the goodness of fit between these models, and a model where the distribution of QPIDs is determined by the ratio of two correlated and truncated Normal random variables. The ratio distribution gave the best fit to the data, and we propose this is due to the approximately linear trajectory of slow phases (SPs) and that QPIDs are given by the ratio of a variable SP amplitude threshold and variable SP velocity.

dc.format.extent179-187
dc.format.mediumPrint-Electronic
dc.languageeng
dc.language.isoeng
dc.publisherSpringer Science and Business Media LLC
dc.subjectOptokinetic nystagmus
dc.subjectQuick phase interval
dc.subjectRatio distribution
dc.subjectAccumulator models
dc.subjectDistribution analysis
dc.subjectVariable threshold
dc.titleThe distribution of quick phase interval durations in human optokinetic nystagmus.
dc.typejournal-article
dc.typeArticle
plymouth.author-urlhttp://www.ncbi.nlm.nih.gov/pubmed/23099548
plymouth.issue2
plymouth.volume224
plymouth.publication-statusPublished
plymouth.journalExp Brain Res
dc.identifier.doi10.1007/s00221-012-3297-z
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Health
plymouth.organisational-group/Plymouth/Research Groups
plymouth.organisational-group/Plymouth/Research Groups/Centre for Brain, Cognition and Behaviour (CBCB)
plymouth.organisational-group/Plymouth/Research Groups/Centre for Brain, Cognition and Behaviour (CBCB)/Brain
plymouth.organisational-group/Plymouth/Users by role
dc.publisher.placeGermany
dcterms.dateAccepted2012-10-03
dc.identifier.eissn1432-1106
dc.rights.embargoperiodNot known
rioxxterms.versionofrecord10.1007/s00221-012-3297-z
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.typeJournal Article/Review


Files in this item

Thumbnail
Thumbnail

This item appears in the following Collection(s)

Show simple item record


All items in PEARL are protected by copyright law.
Author manuscripts deposited to comply with open access mandates are made available in accordance with publisher policies. Please cite only the published version using the details provided on the item record or document. In the absence of an open licence (e.g. Creative Commons), permissions for further reuse of content should be sought from the publisher or author.
Theme by 
Atmire NV