Data assimilation for heterogeneous networks: The consensus set
Sauer T, Schiff S. Data assimilation for heterogeneous networks: The consensus set. Physical Review E 2009, 79: 051909. PMID: 19518482, PMCID: PMC2951269, DOI: 10.1103/physreve.79.051909.Peer-Reviewed Original ResearchConceptsHeterogeneous networksEnsemble Kalman filteringData assimilationDynamical networksNetwork experimentsPhysical networkNonstationary environmentsKalman filteringModel networksNetworkAccurate reconstructionUnobserved variablesConsensus setTrackingFilteringBroad applicabilityImplementationOscillatorSetEnvironmentKalman Meets Neuron: The Emerging Intersection of Control Theory with Neuroscience
Schiff S. Kalman Meets Neuron: The Emerging Intersection of Control Theory with Neuroscience. Annual International Conference Of The IEEE Engineering In Medicine And Biology Society (EMBC) 2009, 2009: 3318-3321. PMID: 19964302, PMCID: PMC3644303, DOI: 10.1109/iembs.2009.5333752.Peer-Reviewed Original ResearchConceptsControl theoryNonlinear control theoryModern control theoryKalman filtering techniqueSingle neuron dynamicsComplex network dataWave dynamicsModel networksControl frameworkComputational neuroscienceNeuron dynamicsFiltering techniqueAccurate reconstructionMature theoryTheoryDynamicsNetwork dataKalmanConsensus setNeuroscience modelsField