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The same procedure is repeated for the R&K sleep model.
A novel probabilistic sleep model (PSM) is presented in this paper.
We correlate parameters of the sleep model with latent factors of daytime behavioral and life-quality measures.
A new probabilistic sleep model (PSM) proposed by the authors was used to represent sleep as a continuum (Lewandowski et al., 2012).
With the aim of avoiding these limitations an alternative computerized sleep model was introduced by the authors (Lewandowski, Rosipal, & Dorffner, 2012).
Ultimately, relevant findings from Drosophila studies will have to be explained in the context of human sleep and having a quantitative fly sleep model involving neuronal input and behavioral output will greatly facilitate such comparisons.
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For example, it may be true that important information can be obtained from sleep models allowing continuously modeling transitions from one sleep stage into another.
This was true for both the R&K and PSM sleep models.
Therefore, it remains an open question if appropriate sleep parameters can be extracted from the used sleep models.
Evidently, race/ethnicity has been considered an important factor that was routinely adjusted in multivariate sleep models [ 2].
While both sleep models provided sleep parameters with similar level of correlations with ssq this was not true for physiological and neuropsychological factors.
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