2021
Identifiability of Infection Model Parameters Early in an Epidemic
Sauer T, Berry T, Ebeigbe D, Norton M, Whalen A, Schiff S. Identifiability of Infection Model Parameters Early in an Epidemic. SIAM Journal On Control And Optimization 2021, 0: s27-s48. PMID: 36338855, PMCID: PMC9634856, DOI: 10.1137/20m1353289.Peer-Reviewed Original Research
2012
Reconstructing Mammalian Sleep Dynamics with Data Assimilation
Sedigh-Sarvestani M, Schiff S, Gluckman B. Reconstructing Mammalian Sleep Dynamics with Data Assimilation. PLOS Computational Biology 2012, 8: e1002788. PMID: 23209396, PMCID: PMC3510073, DOI: 10.1371/journal.pcbi.1002788.Peer-Reviewed Original ResearchConceptsUnscented Kalman filterData assimilationData assimilation frameworkParameter estimation methodNonlinear computational modelSleep-wake regulatory networkAssimilation frameworkUnknown parametersHidden variablesCovariance inflationNoisy variablesSlow dynamicsSparse measurementsComputational modelModel parametersKalman filterModel statesEstimation methodSimulation studyComplex systemsOptimal variablesFilter modelUKF frameworkModel variablesPartial observability
2011
Toward a Model-Based Predictive Controller Design in Brain–Computer Interfaces
Kamrunnahar M, Dias N, Schiff S. Toward a Model-Based Predictive Controller Design in Brain–Computer Interfaces. Annals Of Biomedical Engineering 2011, 39: 1482-1492. PMID: 21267657, PMCID: PMC3655721, DOI: 10.1007/s10439-011-0248-y.Peer-Reviewed Original ResearchConceptsModel-based predictive controllerController designPredictive controller designAR model parametersPredictive controllerFilter applicationsControllerInterface applicationsModel-based featuresModel parametersBrain-computer interface applicationsPerformanceApplicationsParametersDesignInterfaceBCI applications