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Reconstrucing sleep dynamics with data assimilation (Sedigh-Sarvestani et al., 2012)
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We have developed a framework, based on the unscented Kalman filter, for estimating hidden states and parameters of a network model of sleep. The network model includes firing rates and neurotransmitter output of 5 cell-groups in the rat brain.
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Sedigh-Sarvestani M, Schiff SJ, Gluckman BJ (2012) Show
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Sedigh-Sarvestani, Madineh [m.sedigh.sarvestani at gmail.com] Show
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Schiff, Steven [sschiff at psu.edu] Show
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Gluckman, Bruce [BruceGluckman at psu.edu] Show
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m.sedigh.sarvestani@gmail.com
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Unscented Kalman Filter
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Sedigh-Sarvestani, Madineh <m.sedigh.sarvestani@gmail.com>
Schiff, Steven <sschiff@psu.edu>
Gluckman, Bruce <BruceGluckman@psu.edu>
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DOI:10.1371/journal.pcbi.1002788 (Sedigh-Sarvestani et al. In press); PMID: 20107121; PMID: 21893532
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