Sentence examples for wake durations from inspiring English sources

It has been suggested that sleep-wake architecture resembled the dynamics seen in some models of self-organized criticality: in avalanche models, the duration of the avalanche events followed a power law (and was thus likened to wake durations), while the time between avalanches followed an exponential distribution (and was thus likened to sleep durations) [4].

Indeed, SWA levels increase as a function of prior wake duration and decline in the course of sleep.

Unfortunately, there are reasonable arguments to consider power law and multiple exponential models for the distribution of sleep-wake duration distributions.

In humans and other mammals, the state transitions defining sleep and wake bout durations have been described with exponential and power law models, respectively.

Wake bout duration kinetics remain controversial, being described as either an exponential process[21], or a power law process[19], [20], [22].

For example, the network analyses revealed a novel chain of causal relationships between the chromosome 17@29cM QTL, total amount of wake, and duration of wake bouts in both light and dark periods that implies a mechanism whereby overall sleep need, mediated by this locus, in turn determines the length of each wake bout.

For example, if all sleep-wake bout durations are considered to be exponential or multi-exponential, then all transitions of the hypnogram may be simulated using a Markov chain model.

One parameter that greatly differed between the two genotypes was, however, waking episode duration (Fig. S2).

Given the common practice of fitting single exponential functions to sleep-wake bout duration data, we calculated how the weighted decay time constants (weighted according to their Yo values) from our multi-exponential fits would compare to this technique of fixed single exponential fitting.

Reports of non-restorative sleep were similar across all assessment points, despite the large differences in sleep durations, wake times and sleep efficiencies between T1, T2 and T3.

Model I adjusted only for sociodemographic variables and model II further controlled for bedtime, wake time, sleep duration, and all other sleep problems in CSHQ (bedtime resistance, sleep onset delay, irregular sleep duration, sleep anxiety, parasomnias, and sleep-disordered breathing).