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PC-PVT: A platform for psychomotor vigilance task testing, analysis, and prediction
TLDR
Using a personal computer for simple visual reaction time testing is advantageous because of the relatively low hardware cost, user familiarity, and the relative ease of software development for specific neurobehavioral testing protocols. Expand
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A biomathematical model of the restoring effects of caffeine on cognitive performance during sleep deprivation.
RATIONALE While caffeine is widely used as a countermeasure to sleep loss, mathematical models are lacking. OBJECTIVE Develop a biomathematical model for the performance-restoring effects ofExpand
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An increase in sleep slow waves predicts better working memory performance in healthy individuals
TLDR
An increase in sleep slow waves predicts better working memory (WM) performance in healthy and clinical populations. Expand
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A new metric for quantifying performance impairment on the psychomotor vigilance test
We have developed a new psychomotor vigilance test (PVT) metric for quantifying the effects of sleep loss on performance impairment. The new metric quantifies performance impairment by estimating theExpand
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PC-PVT 2.0: An updated platform for psychomotor vigilance task testing, analysis, prediction, and visualization
BACKGROUND The psychomotor vigilance task (PVT) has been widely used to assess the effects of sleep deprivation on human neurobehavioral performance. To facilitate research in this field, weExpand
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Instruction Schedulimg over Regions: A Framework for Scheduling Across Basic Blocks
TLDR
Global instruction scheduling is important for superscalar, superpipelined and VLIW machines . Expand
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Dose-dependent model of caffeine effects on human vigilance during total sleep deprivation.
Caffeine is the most widely consumed stimulant to counter sleep-loss effects. While the pharmacokinetics of caffeine in the body is well-understood, its alertness-restoring effects are still not wellExpand
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A Unified Model of Performance: Validation of its Predictions across Different Sleep/Wake Schedules.
TLDR
We developed a unified model of performance (UMP) to predict the effects of the continuum of sleep loss-from chronic sleep restriction (CSR) to total sleep deprivation (TSD) challenges-and validated it using data from two studies of one laboratory. Expand
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Can a mathematical model predict an individual's trait‐like response to both total and partial sleep loss?
Humans display a trait‐like response to sleep loss. However, it is not known whether this trait‐like response can be captured by a mathematical model from only one sleep‐loss condition to facilitateExpand
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A Unified Model of Performance for Predicting the Effects of Sleep and Caffeine.
STUDY OBJECTIVES Existing mathematical models of neurobehavioral performance cannot predict the beneficial effects of caffeine across the spectrum of sleep loss conditions, limiting their practicalExpand
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