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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, simultaneously allowing control of the curve’s asymptotes at very small and very large amplitudes, as well as its slope over the mid-amplitude range....

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Autores principales: Duchowski, Andrew T., Krejtz, Krzysztof, Biele, Cezary, Niedzielska, Anna, Kiefer, Peter, Giannopoulos, Ioannis, Gehrer, Nina, Schönenberg, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Bern Open Publishing 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7166123/
https://www.ncbi.nlm.nih.gov/pubmed/33828660
http://dx.doi.org/10.16910/jemr.10.3.4
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author Duchowski, Andrew T.
Krejtz, Krzysztof
Biele, Cezary
Niedzielska, Anna
Kiefer, Peter
Giannopoulos, Ioannis
Gehrer, Nina
Schönenberg, Michael
author_facet Duchowski, Andrew T.
Krejtz, Krzysztof
Biele, Cezary
Niedzielska, Anna
Kiefer, Peter
Giannopoulos, Ioannis
Gehrer, Nina
Schönenberg, Michael
author_sort Duchowski, Andrew T.
collection PubMed
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, simultaneously 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 smalland mid-amplitude ranges, namely when fitting microsaccades, saccades, and superposition of both. We are confident the model will suitably extend to the largeamplitude range of eye movements.
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spelling pubmed-71661232021-04-06 An Inverse-Linear Logistic Model of The Main Sequence Duchowski, Andrew T. Krejtz, Krzysztof Biele, Cezary Niedzielska, Anna Kiefer, Peter Giannopoulos, Ioannis Gehrer, Nina Schönenberg, Michael J Eye Mov Res Article 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, simultaneously 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 smalland mid-amplitude ranges, namely when fitting microsaccades, saccades, and superposition of both. We are confident the model will suitably extend to the largeamplitude range of eye movements. Bern Open Publishing 2017-05-29 /pmc/articles/PMC7166123/ /pubmed/33828660 http://dx.doi.org/10.16910/jemr.10.3.4 Text en This work is licensed under a Creative Commons Attribution 4.0 International License, (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Article
Duchowski, Andrew T.
Krejtz, Krzysztof
Biele, Cezary
Niedzielska, Anna
Kiefer, Peter
Giannopoulos, Ioannis
Gehrer, Nina
Schönenberg, Michael
An Inverse-Linear Logistic Model of The Main Sequence
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 Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7166123/
https://www.ncbi.nlm.nih.gov/pubmed/33828660
http://dx.doi.org/10.16910/jemr.10.3.4
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