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Threshold-varying integrate-and-fire model reproduces distributions of spontaneous blink intervals
Spontaneous blinking is one of the most frequent human behaviours. While attentionally guided blinking may benefit human survival, the function of spontaneous frequent blinking in cognitive processes is poorly understood. To model human spontaneous blinking, we proposed a leaky integrate-and-fire mo...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6207319/ https://www.ncbi.nlm.nih.gov/pubmed/30376565 http://dx.doi.org/10.1371/journal.pone.0206528 |
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author | Nomura, Ryota Liang, Ying-Zong Morita, Kenji Fujiwara, Kantaro Ikeguchi, Tohru |
author_facet | Nomura, Ryota Liang, Ying-Zong Morita, Kenji Fujiwara, Kantaro Ikeguchi, Tohru |
author_sort | Nomura, Ryota |
collection | PubMed |
description | Spontaneous blinking is one of the most frequent human behaviours. While attentionally guided blinking may benefit human survival, the function of spontaneous frequent blinking in cognitive processes is poorly understood. To model human spontaneous blinking, we proposed a leaky integrate-and-fire model with a variable threshold which is assumed to represent physiological fluctuations during cognitive tasks. The proposed model is capable of reproducing bimodal, normal, and widespread peak-less distributions of inter-blink intervals as well as the more common popular positively skewed distributions. For bimodal distributions, the temporal positions of the two peaks depend on the baseline and the amplitude of the fluctuating threshold function. Parameters that reproduce experimentally derived bimodal distributions suggest that relatively slow oscillations (0.11–0.25 Hz) govern blink elicitations. The results also suggest that changes in blink rates would reflect fluctuations of threshold regulated by human internal states. |
format | Online Article Text |
id | pubmed-6207319 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-62073192018-11-19 Threshold-varying integrate-and-fire model reproduces distributions of spontaneous blink intervals Nomura, Ryota Liang, Ying-Zong Morita, Kenji Fujiwara, Kantaro Ikeguchi, Tohru PLoS One Research Article Spontaneous blinking is one of the most frequent human behaviours. While attentionally guided blinking may benefit human survival, the function of spontaneous frequent blinking in cognitive processes is poorly understood. To model human spontaneous blinking, we proposed a leaky integrate-and-fire model with a variable threshold which is assumed to represent physiological fluctuations during cognitive tasks. The proposed model is capable of reproducing bimodal, normal, and widespread peak-less distributions of inter-blink intervals as well as the more common popular positively skewed distributions. For bimodal distributions, the temporal positions of the two peaks depend on the baseline and the amplitude of the fluctuating threshold function. Parameters that reproduce experimentally derived bimodal distributions suggest that relatively slow oscillations (0.11–0.25 Hz) govern blink elicitations. The results also suggest that changes in blink rates would reflect fluctuations of threshold regulated by human internal states. Public Library of Science 2018-10-30 /pmc/articles/PMC6207319/ /pubmed/30376565 http://dx.doi.org/10.1371/journal.pone.0206528 Text en © 2018 Nomura et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Nomura, Ryota Liang, Ying-Zong Morita, Kenji Fujiwara, Kantaro Ikeguchi, Tohru Threshold-varying integrate-and-fire model reproduces distributions of spontaneous blink intervals |
title | Threshold-varying integrate-and-fire model reproduces distributions of spontaneous blink intervals |
title_full | Threshold-varying integrate-and-fire model reproduces distributions of spontaneous blink intervals |
title_fullStr | Threshold-varying integrate-and-fire model reproduces distributions of spontaneous blink intervals |
title_full_unstemmed | Threshold-varying integrate-and-fire model reproduces distributions of spontaneous blink intervals |
title_short | Threshold-varying integrate-and-fire model reproduces distributions of spontaneous blink intervals |
title_sort | threshold-varying integrate-and-fire model reproduces distributions of spontaneous blink intervals |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6207319/ https://www.ncbi.nlm.nih.gov/pubmed/30376565 http://dx.doi.org/10.1371/journal.pone.0206528 |
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