Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Editorial
. 2024 Feb 8;47(2):zsad309.
doi: 10.1093/sleep/zsad309.

Modeling Drosophila sleep: fly in the sky?

Affiliations
Editorial

Modeling Drosophila sleep: fly in the sky?

Anne C Skeldon et al. Sleep. .
No abstract available

PubMed Disclaimer

Figures

Figure 1.
Figure 1.
Entangled sleep and circadian rhythms in the two-process model: variation in sleep–wake phenotypes may be explained by either modifying homeostatic or circadian parameters. Here are shown sleep–wake patterns for different assumptions on which parameters vary with circadian period. Left-hand panels are for changes in the homeostatic time constants based on the trend line in Abhilash and Shafer [23] Figure 5 panels D and E (although we note that to get the impressive fit shown in Figure 5C they used individually fitted values for both the decay and buildup time constants including the large jump in homeostatic buildup constant between the circadian period of 15 and 20 hours). Right-hand panels keep homeostatic time constants fixed and vary “circadian” parameters. In each case, the two-process model is shown along with two raster plots, one based on the duration of the circadian day (left), one based on the 24-hour day (right). Like Abhilash and Shafer, all simulations use the scaled two-process model which sets the upper and lower asymptotes to 1 and 0, respectively. All other parameters are written in the figure, where Xs and Xw are the time constants for homeostatic decay during sleep and buildup during wake, respectively, Hp and Hm are the mean levels of the upper and lower thresholds and a is the circadian amplitude.

Comment on

References

    1. Borbély AA. A two process model of sleep regulation. Hum Neurobiol. 1982;1(3):195–204. - PubMed
    1. Daan S, Beersma DGM, Borbély AA.. Timing of human sleep: Recovery process gated by a circadian pacemaker. Am J Physiol. 1984;246(2 Pt 2):R161–R183. doi: 10.1152/ajpregu.1984.246.2.R161 - DOI - PubMed
    1. Dijk D-J, Brunner DP, Borbély AA.. Time course of EEG power density during long sleep in humans. Am J Physiol. 1990;258(3 Pt 2):R650–R661. doi: 10.1152/ajpregu.1990.258.3.R650 - DOI - PubMed
    1. Achermann P, Dijk D-J, Brunner DP, Borbély AA.. A model of human sleep homeostasis based on EEG slow-wave activity: Quantitative comparison of data and simulations. Brain Res Bull. 1993;31(1-2):97–113. doi: 10.1016/0361-9230(93)90016-5 - DOI - PubMed
    1. Franken P, Tobler I, Borbély AA.. Sleep homeostasis in the rat: Simulation of the time course of EEG slow-wave activity. [published correction appears in Neurosci Lett 1991 Nov 11;132(2):279]. Neurosci Lett. 1991;130(2):141–144. doi: 10.1016/0304-3940(91)90382-4 - DOI - PubMed