An inverse-linear logistic model of the main sequence

Andrew Duchowski , Krzysztof Krejtz , Cezary Biele , Anna Niedzielska , Peter Kiefer , Ioannis Giannopoulos , Nina Gehrer , Michael Schonenberg

Abstract

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.
Author Andrew Duchowski
Andrew Duchowski,,
-
, Krzysztof Krejtz (Wydział Psychologii)
Krzysztof Krejtz,,
- Wydział Psychologii
, Cezary Biele
Cezary Biele,,
-
, Anna Niedzielska
Anna Niedzielska,,
-
, Peter Kiefer
Peter Kiefer,,
-
, Ioannis Giannopoulos
Ioannis Giannopoulos,,
-
, Nina Gehrer
Nina Gehrer,,
-
, Michael Schonenberg
Michael Schonenberg,,
-
Journal seriesJournal of Eye Movement Research, ISSN 1995-8692, (A 20 pkt)
Issue year2017
Vol10
No3
Pages1-19
Publication size in sheets0.9
Keywords in Englishsaccades, microsaccades, main sequence, non-linear modeling
ASJC Classification2809 Sensory Systems; 2731 Ophthalmology
DOIDOI:10.16910/jemr.10.3.4
URL https://bop.unibe.ch/index.php/JEMR/article/view/3603
Languageen angielski
File
3603-13042-1-PB.pdf 13.19 MB
Additional file
Oświadczenie_krejtz_jemr2017B.pdf 114.99 KB
Score (nominal)20
Score sourcejournalList
Publication indicators Scopus SNIP (Source Normalised Impact per Paper): 2017 = 0.671; WoS Impact Factor: 2017 = 0.852 (2) - 2017=1.115 (5)
Citation count*
Cite
Share Share

Get link to the record


* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
Back
Confirmation
Are you sure?