DocumentCode :
2383456
Title :
A network model for activity-dependent sleep regulation
Author :
Roy, Sandip ; Krueger, James M. ; Rector, David M. ; Wan, Yan
fYear :
2008
fDate :
11-13 June 2008
Firstpage :
1400
Lastpage :
1405
Abstract :
We develop and characterize a dynamical network model for activity-dependent sleep regulation. Specifically, in accordance with the activity-dependent theory for sleep, we view organism sleep as emerging from the local sleep states of functional units known as cortical columns; these local sleep states evolve through integration of local activity inputs, loose couplings with neighboring cortical columns, and global regulation (e.g. by the circadian clock). We model these cortical columns as coupled or networked activity-integrators that transition between sleep and waking states based on thresholds on the total activity. The model dynamics for three canonical experiments (which we have studied both through simulation and system-theoretic analysis) match with experimentally-observed characteristics of the cortical-column network. Most notably, assuming connectedness of the network graph, our model predicts the recovery of the columns to a synchronized state upon temporary overstimulation of a single column and/or randomization of the initial sleep and activity-integration states. In analogy with other models for networked oscillators, our model also predicts the possibility for such phenomena as mode-locking.
Keywords :
biocontrol; distributed control; graph theory; sleep; activity-dependent sleep regulation; dynamical network model; global regulation; neighboring cortical columns; network graph; Analytical models; Assembly; Bioelectric phenomena; Clocks; Coupling circuits; Local activities; Mathematical model; Organisms; Predictive models; Synchronization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 2008
Conference_Location :
Seattle, WA
ISSN :
0743-1619
Print_ISBN :
978-1-4244-2078-0
Electronic_ISBN :
0743-1619
Type :
conf
DOI :
10.1109/ACC.2008.4586688
Filename :
4586688
Link To Document :
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