In Brief |
Featured
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Analysis |
Sleep-spindle detection: crowdsourcing and evaluating performance of experts, non-experts and automated methods
A comparative analysis of methods for scoring human sleep data, in particular sleep spindles, from encephalographic recordings is reported. The authors develop methods for crowdsourcing the identification of sleep spindles and compare the detection performance of experts, non-experts and automated algorithms.
- Simon C Warby
- , Sabrina L Wendt
- & Emmanuel Mignot
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Correspondence |
CircadiOmics: integrating circadian genomics, transcriptomics, proteomics and metabolomics
- Vishal R Patel
- , Kristin Eckel-Mahan
- & Pierre Baldi
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Research Highlights |
Drosophila's outdoor schedule
Fly rhythms under natural light and temperature differ from those in the lab.
- Monya Baker