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
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
2007
Kalman filter control of a model of spatiotemporal cortical dynamics
Schiff S, Sauer T. Kalman filter control of a model of spatiotemporal cortical dynamics. Journal Of Neural Engineering 2007, 5: 1. PMID: 18310806, PMCID: PMC2276637, DOI: 10.1088/1741-2560/5/1/001.Peer-Reviewed Original ResearchConceptsNonlinear systemsSpiral wave dynamicsSpatiotemporal cortical dynamicsObserver systemSystem stateExcitable systemsWave dynamicsKalman filteringUnscented KalmanEstimate parametersNonlinear methodsControl signalsFilter controlWave patternsApplied electrical fieldExperimental applicationElectrical fieldDynamicsKalmanParametersSuch resultsModelSystemFilteringSuch approaches
2004
Electric Field Control of Seizure Propagation: From Theory to Experiment
Richardson K, Schiff S, Gluckman B. Electric Field Control of Seizure Propagation: From Theory to Experiment. AIP Conference Proceedings 2004, 742: 185-196. DOI: 10.1063/1.1846476.Peer-Reviewed Original ResearchMathematical modelSpeed of propagationMathematical solutionElectric fieldElectric field controlEpileptic seizure propagationSuch electric fieldsField controlHigh enough valuesEnough valuesPropagationWavesActivity wavesDimensional networkSolutionModelFieldTheoryLower threshold valueNetworkThreshold valueSpeedParameters
1996
Detecting dynamical interdependence and generalized synchrony through mutual prediction in a neural ensemble
Schiff S, So P, Chang T, Burke R, Sauer T. Detecting dynamical interdependence and generalized synchrony through mutual prediction in a neural ensemble. Physical Review E 1996, 54: 6708-6724. PMID: 9965897, DOI: 10.1103/physreve.54.6708.Peer-Reviewed Original ResearchNonlinear predictionNonlinear systemsDynamical interdependenceGeneralized synchronyStochastic drivingNumerical examplesNonidentical parametersLinear cross correlationMutual predictionNonlinear correlationCross correlationStandard analysisIdentical parametersPredictionParametersNeural ensemblesSystemEnsembleNeuronal networksExistenceClassCoupling