Threshold-varying integrate-and-fire model reproduces distributions of spontaneous blink intervals

Ryota Nomura*, Ying Zong Liang, Kenji Morita, Kantaro Fujiwara, Tohru Ikeguchi

*この研究の対応する著者

研究成果: Article査読

1 被引用数 (Scopus)

抄録

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.

本文言語English
論文番号e0206528
ジャーナルPloS one
13
10
DOI
出版ステータスPublished - 2018 10
外部発表はい

ASJC Scopus subject areas

  • 生化学、遺伝学、分子生物学(全般)
  • 農業および生物科学(全般)
  • 一般

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