An inverse-linear logistic model of the main sequence

A model of the main sequence is proposed based on the logistic function. The model’s fit to the peak velocity-amplitude relation resembles an S curve, simulta- neously allowing control of the curve’s asymptotes at very small and very large amplitudes, as well as its slope over the mid amplitude rang...

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Main Authors: Andrew Duchowski, Krzysztof Krejtz, Cezary Biele, Anna Niedzielska, Peter Kiefer, Ioannis Giannopoulos, Nina Gehrer, Michael Schönenberg
Format: Article
Language:English
Published: Bern Open Publishing 2017-05-01
Series:Journal of Eye Movement Research
Subjects:
Online Access:https://bop.unibe.ch/JEMR/article/view/3603
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author Andrew Duchowski
Krzysztof Krejtz
Cezary Biele
Anna Niedzielska
Peter Kiefer
Ioannis Giannopoulos
Nina Gehrer
Michael Schönenberg
author_facet Andrew Duchowski
Krzysztof Krejtz
Cezary Biele
Anna Niedzielska
Peter Kiefer
Ioannis Giannopoulos
Nina Gehrer
Michael Schönenberg
author_sort Andrew Duchowski
collection DOAJ
description A model of the main sequence is proposed based on the logistic function. The model’s fit to the peak velocity-amplitude relation resembles an S curve, simulta- neously allowing control of the curve’s asymptotes at very small and very large amplitudes, as well as its slope over the mid amplitude range. The proposed inverse-linear logistic model is also able to express the linear relation of duration and amplitude. We demonstrate the utility and robustness of the model when fit to aggregate data at the small- and mid-amplitude ranges, namely when fitting microsaccades, saccades, and superposition of both. We are confident the model will suitably extend to the large-amplitude range of eye movements.
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spelling doaj.art-b21f6ebffc2d4959a4bab3eb22a20db32022-12-21T20:14:44ZengBern Open PublishingJournal of Eye Movement Research1995-86922017-05-0110310.16910/jemr.10.3.4An inverse-linear logistic model of the main sequenceAndrew Duchowski0Krzysztof Krejtz1Cezary Biele2Anna Niedzielska3Peter Kiefer4Ioannis Giannopoulos5Nina Gehrer6Michael Schönenberg7Clemson UniversitySWPS University of PsychologyNational Information Processing InstituteNational Information Processing InstituteETH ZürichETH ZürichUniversity of TübingenUniversity of TübingenA model of the main sequence is proposed based on the logistic function. The model’s fit to the peak velocity-amplitude relation resembles an S curve, simulta- neously allowing control of the curve’s asymptotes at very small and very large amplitudes, as well as its slope over the mid amplitude range. The proposed inverse-linear logistic model is also able to express the linear relation of duration and amplitude. We demonstrate the utility and robustness of the model when fit to aggregate data at the small- and mid-amplitude ranges, namely when fitting microsaccades, saccades, and superposition of both. We are confident the model will suitably extend to the large-amplitude range of eye movements.https://bop.unibe.ch/JEMR/article/view/3603saccadesmicrosaccadesmain sequencenon-linear modeling
spellingShingle Andrew Duchowski
Krzysztof Krejtz
Cezary Biele
Anna Niedzielska
Peter Kiefer
Ioannis Giannopoulos
Nina Gehrer
Michael Schönenberg
An inverse-linear logistic model of the main sequence
Journal of Eye Movement Research
saccades
microsaccades
main sequence
non-linear modeling
title An inverse-linear logistic model of the main sequence
title_full An inverse-linear logistic model of the main sequence
title_fullStr An inverse-linear logistic model of the main sequence
title_full_unstemmed An inverse-linear logistic model of the main sequence
title_short An inverse-linear logistic model of the main sequence
title_sort inverse linear logistic model of the main sequence
topic saccades
microsaccades
main sequence
non-linear modeling
url https://bop.unibe.ch/JEMR/article/view/3603
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