<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>16</volume><submitter/><pubmed_abstract>Modeling how patterns of light and dark affect circadian phase is important clinically and organizationally (e.g., the military) because circadian disruption can compromise health and performance. Limit-cycle oscillator models in various forms have been used to characterize phase changes to a limited set of light interventions. We approached the analysis of the van der Pol oscillator-based model proposed by Kronauer and colleagues in 1999 and 2000 (Kronauer99) using a well-established framework from experimental psychology whereby the stimulus (S) acts on the organism (O) to produce a response (R). Within that framework, using four independent data sets utilizing calibrated personal light measurements, we conducted a serial analysis of the factors in the Kronauer99 model that could affect </pubmed_abstract><journal>Frontiers in neuroscience</journal><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9552883</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>The circadian stimulus-oscillator model: Improvements to Kronauer’s model of the human circadian pacemaker</pubmed_title><pmcid>PMC9552883</pmcid></additional><is_claimable>false</is_claimable><name>The circadian stimulus-oscillator model: Improvements to Kronauer’s model of the human circadian pacemaker</name><description>Modeling how patterns of light and dark affect circadian phase is important clinically and organizationally (e.g., the military) because circadian disruption can compromise health and performance. Limit-cycle oscillator models in various forms have been used to characterize phase changes to a limited set of light interventions. We approached the analysis of the van der Pol oscillator-based model proposed by Kronauer and colleagues in 1999 and 2000 (Kronauer99) using a well-established framework from experimental psychology whereby the stimulus (S) acts on the organism (O) to produce a response (R). Within that framework, using four independent data sets utilizing calibrated personal light measurements, we conducted a serial analysis of the factors in the Kronauer99 model that could affect </description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Jan</publication><modification>2025-04-05T11:37:59.938Z</modification><creation>2025-02-19T01:02:28.783Z</creation></dates><accession>S-EPMC9552883</accession><cross_references/></HashMap>