Definition
A neural population model of sleep is a mathematical model of neural populations that regulate the timing and expression of sleep/wake patterns. Specific circuits and nuclei have been identified in the mammalian brainstem and hypothalamus that play a key role in modulating the brain’s overall arousal state with a circadian (daily) rhythm. These neural populations have been the focus of most sleep modeling.
Detailed Description
Sleep is an arousal state characterized by physical inactivity, reduced sensitivity to environmental stimuli, and a range of characteristic physiological changes, including changes to the EEG associated with rapid eye movement (REM) and non-REM (NREM) sleep in mammals. Sleep is regulated by a variety of physiological and biochemical processes (Krueger et al. 2008; Saper et al. 2010), including specific neural populations in the brainstem and hypothalamus. Various mathematical models have now been developed, providing a conduit between the underlying...
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Further Reading
Books
Hutt A (2011) Sleep and anesthesia. Springer, New York
Steyn-Ross DA, Steyn-Ross ML (2010) Modeling phase transitions in the brain. Springer, New York
Scholarpedia
Neurobiology of sleep and wakefulness
Sleep homeostasis
Wikipedia
Circadian rhythm
Neuroscience of sleep
Sleep
Suprachiasmatic nucleus
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Phillips, A.J.K. (2013). Sleep, Neural Population Models of. In: Jaeger, D., Jung, R. (eds) Encyclopedia of Computational Neuroscience. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7320-6_76-1
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DOI: https://doi.org/10.1007/978-1-4614-7320-6_76-1
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