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Timothy D. Noakes

Researcher at University of Cape Town

Publications -  709
Citations -  41213

Timothy D. Noakes is an academic researcher from University of Cape Town. The author has contributed to research in topics: Exercise physiology & VO2 max. The author has an hindex of 110, co-authored 701 publications receiving 39090 citations. Previous affiliations of Timothy D. Noakes include RMIT University & University of Calgary.

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From catastrophe to complexity: a novel model of integrative central neural regulation of effort and fatigue during exercise in humans: summary and conclusions

TL;DR: It is proposed that the extent of skeletal muscle recruitment is controlled as part of a continuously altering pacing strategy, with the sensation of fatigue being the conscious interpretation of these homoeostatic, central governor control mechanisms.
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Physiological models to understand exercise fatigue and the adaptations that predict or enhance athletic performance

TL;DR: This review considers four additional models that need to be considered when factors limiting either short duration, maximal or prolonged submaximal exercise are evaluated, and provides a broad overview of the physiological, metabolic and biomechanical factors that may limit exercise performance under different exercise conditions.
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Evidence for complex system integration and dynamic neural regulation of skeletal muscle recruitment during exercise in humans

TL;DR: A model is proposed in which the development of physical exhaustion is a relative rather than an absolute event and the sensation of fatigue is the sensory representation of the underlying neural integrative processes.
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The role of information processing between the brain and peripheral physiological systems in pacing and perception of effort.

TL;DR: It is proposed that an internal clock, which appears to use scalar rather than absolute time scales, is used by the brain to generate knowledge of the duration or distance still to be covered, so that power output and metabolic rate can be altered appropriately throughout an event of a particular duration ordistance.
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Peak power output predicts maximal oxygen uptake and performance time in trained cyclists.

TL;DR: It is concluded that for trained cyclists, theVO2max can be accurately predicted from Wpeak, and that Wpeak is a valid predictor of 20-km cycle time.