2013
Model-based rational feedback controller design for closed-loop deep brain stimulation of Parkinson's disease
Gorzelic P, Schiff S, Sinha A. Model-based rational feedback controller design for closed-loop deep brain stimulation of Parkinson's disease. Journal Of Neural Engineering 2013, 10: 026016. PMID: 23449002, DOI: 10.1088/1741-2560/10/2/026016.Peer-Reviewed Original ResearchConceptsFeedback controller designController designPID controlHigh-level control strategyBetter controller performanceFeedback control methodFeedback control problemController performanceDerivative controlControl methodFeedback controllerControl inputControl lawControl strategyProportional controlOnline estimatesComputational modelControl problemConsiderable further reductionDerivative methodologyOptimal controlAdaptive methodRelay capabilityStimulation algorithmDesign
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
Towards Model-Based Control of Parkinson's Disease: A Perspective
Schiff S. Towards Model-Based Control of Parkinson's Disease: A Perspective. 2011, 6487-6491. DOI: 10.1109/cdc.2011.6160870.Peer-Reviewed Original ResearchControl theoryModel-based control frameworkNonlinear control theoryModern control theoryControl frameworkKalman filtering techniqueDynamical diseasesOscillatory wavesComputational neuroscienceFiltering techniqueNetwork dynamicsAccurate reconstructionMature theoryTheoryDynamicsComputational modelModelNeuroscience modelsWavesFrameworkField
2010
Towards model-based control of Parkinson's disease
Schiff S. Towards model-based control of Parkinson's disease. Philosophical Transactions Of The Royal Society A Mathematical Physical And Engineering Sciences 2010, 368: 2269-2308. PMID: 20368246, PMCID: PMC2944387, DOI: 10.1098/rsta.2010.0050.Peer-Reviewed Original ResearchAssimilating Seizure Dynamics
Ullah G, Schiff S. Assimilating Seizure Dynamics. PLOS Computational Biology 2010, 6: e1000776. PMID: 20463875, PMCID: PMC2865517, DOI: 10.1371/journal.pcbi.1000776.Peer-Reviewed Original ResearchConceptsModern control theoryDynamics of networksDynamical systemsControl theoryUnmeasured partDynamical interactionsData assimilationSmall neuronal networksPhysical variablesDynamicsBrain dynamicsComputational modelSeizure dynamicsActual measurementsNeuronal networksMicroenvironment dynamicsObservabilityNetworkVariablesModelTheorySystemMeasurements
1998
Stochastic resonance in mammalian neuronal networks.
Gluckman B, So P, Netoff T, Spano M, Schiff S. Stochastic resonance in mammalian neuronal networks. Chaos An Interdisciplinary Journal Of Nonlinear Science 1998, 8: 588-598. PMID: 12779762, DOI: 10.1063/1.166340.Peer-Reviewed Original Research