ArticleBiophysical journal2019
A Biased Diffusion Approach to Sleep Dynamics Reveals Neuronal Characteristics.
Article in Biophysical journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed, 11 citations in OpenAlex.
- Article
- Evaluating in-vivo spontaneous firing rate in the brain based on neuronal noise modeling.Communications biology · 2025Article
- Mechanistic description of spontaneous loss of memory persistent activity based on neuronal synaptic strength.Heliyon · 2024Article
- Sleep as a random walk: a super-statistical analysis of EEG data across sleep stages.Communications biology · 2021Article
- Long-range temporal organisation of limb movement kinematics in human neonates.Clinical neurophysiology practice · 2020Article
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Authors and funding
8 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We propose a biased diffusion model of accumulated subthreshold voltage fluctuations in wake-promoting neurons to account for stochasticity in sleep dynamics and to explain the occurrence of brief arousals during sleep. Utilizing this model, we derive four neurophysiological parameters related to neuronal noise level, excitability threshold, deep-sleep threshold, and sleep inertia. We provide the first analytic expressions for these parameters, and we show that there is good agreement between empirical findings from sleep recordings and our model simulation results. Our work suggests that these four parameters can be of clinical importance because we find them to be significantly altered in elderly subjects and in children with autism.
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Registered trials
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