2020
The Problem of Microbial Dark Matter in Neonatal Sepsis - Volume 26, Number 11—November 2020 - Emerging Infectious Diseases journal - CDC
Sinnar S, Schiff S. The Problem of Microbial Dark Matter in Neonatal Sepsis - Volume 26, Number 11—November 2020 - Emerging Infectious Diseases journal - CDC. Emerging Infectious Diseases 2020, 26: 2543-2548. PMID: 33080169, PMCID: PMC7588532, DOI: 10.3201/eid2611.200004.Peer-Reviewed Original ResearchMeSH KeywordsAnti-Bacterial AgentsBacteriaBlood CultureComputer SimulationHumansInfantNeonatal SepsisPolymerase Chain ReactionConceptsNeonatal sepsisCausative pathogenInfectious Diseases journal - CDCCulture recovery ratesAntimicrobial therapyBlood culturesTimely diagnosisAntimicrobial stewardshipWorldwide deathsMost blood culturesUnidentified pathogensTransmission patternsDeathPathogen discoveryWhole metagenomic sequencingPathogensEffective diagnosticsMetagenomic sequencingSepsisPatientsInfantsTherapyDiagnosisRecovery rate
2016
Design of a mobile, homogeneous, and efficient electromagnet with a large field of view for neonatal low-field MRI
Lother S, Schiff S, Neuberger T, Jakob P, Fidler F. Design of a mobile, homogeneous, and efficient electromagnet with a large field of view for neonatal low-field MRI. Magnetic Resonance Materials In Physics, Biology And Medicine 2016, 29: 691-698. PMID: 26861046, PMCID: PMC5695548, DOI: 10.1007/s10334-016-0525-8.Peer-Reviewed Original ResearchConceptsCryogen-free systemField mapping measurementsHigh B0 fieldsLow field devicesLow power consumptionSteel platesLight weightMagnetic resonance imaging systemSimple fabricationNumerical optimization algorithmHomogeneous magnetic fieldPower consumptionElectromagnetResonance imaging systemPower useB0 fieldLow-field scannersMagnetic fieldLow-field MRIField strengthHigh homogeneityMedical applicationsField limitationsLarge fieldMagnets
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 ResearchMeSH KeywordsAlgorithmsAnimalsComputational BiologyComputer SimulationModels, BiologicalRatsSleepWakefulnessConceptsUnscented 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 observabilityModulation of hippocampal rhythms by subthreshold electric fields and network topology
Berzhanskaya J, Chernyy N, Gluckman B, Schiff S, Ascoli G. Modulation of hippocampal rhythms by subthreshold electric fields and network topology. Journal Of Computational Neuroscience 2012, 34: 369-389. PMID: 23053863, PMCID: PMC3549326, DOI: 10.1007/s10827-012-0426-4.Peer-Reviewed Original ResearchConceptsPyramidal cellsGamma rhythmsHippocampal rhythmsSubthreshold electric fieldsSpecific synaptic connectivityExact cellular mechanismsExcitatory contactsSynaptic circuitryBasket cellsLines of resultsArea CA1Inhibitory connectivityInterneuron typesSynaptic connectivityInterneuron classesHippocampal functionNeuron typesNeuronal morphologyTheta/gamma ratioCognitive functionTheta frequencyCellular mechanismsNeural activityElectrophysiological dataNovel role
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 ResearchMeSH KeywordsAnimalsComputer SimulationGlobus PallidusHumansModels, BiologicalNerve NetNeurosciencesParkinson DiseaseThalamus
2009
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 ResearchMeSH KeywordsComputer SimulationDatabases, ProteinGene Expression ProfilingModels, BiologicalProteomeSignal TransductionConceptsHeterogeneous networksEnsemble Kalman filteringData assimilationDynamical networksNetwork experimentsPhysical networkNonstationary environmentsKalman filteringModel networksNetworkAccurate reconstructionUnobserved variablesConsensus setTrackingFilteringBroad applicabilityImplementationOscillatorSetEnvironment
2008
Multi-taper transfer function estimation for stimulation artifact removal from neural recordings
Chernyy N, Schiff S, Gluckman B. Multi-taper transfer function estimation for stimulation artifact removal from neural recordings. Annual International Conference Of The IEEE Engineering In Medicine And Biology Society (EMBC) 2008, 2008: 2772-2776. PMID: 19163280, PMCID: PMC3547985, DOI: 10.1109/iembs.2008.4649777.Peer-Reviewed Original Research
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 ResearchMeSH KeywordsAlgorithmsCerebral CortexComputer SimulationHumansLinear ModelsModels, NeurologicalModels, StatisticalNeural Networks, ComputerNonlinear DynamicsConceptsNonlinear systemsSpiral wave dynamicsSpatiotemporal cortical dynamicsObserver systemSystem stateExcitable systemsWave dynamicsKalman filteringUnscented KalmanEstimate parametersNonlinear methodsControl signalsFilter controlWave patternsApplied electrical fieldExperimental applicationElectrical fieldDynamicsKalmanParametersSuch resultsModelSystemFilteringSuch approachesDynamical Evolution of Spatiotemporal Patterns in Mammalian Middle Cortex
Schiff S, Huang X, Wu J. Dynamical Evolution of Spatiotemporal Patterns in Mammalian Middle Cortex. Physical Review Letters 2007, 98: 178102. PMID: 17501537, PMCID: PMC2039901, DOI: 10.1103/physrevlett.98.178102.Peer-Reviewed Original Research
2005
A Model of the Effects of Applied Electric Fields on Neuronal Synchronization
Park E, Barreto E, Gluckman B, Schiff S, So P. A Model of the Effects of Applied Electric Fields on Neuronal Synchronization. Journal Of Computational Neuroscience 2005, 19: 53-70. PMID: 16133825, PMCID: PMC1752229, DOI: 10.1007/s10827-005-0214-5.Peer-Reviewed Original ResearchControl of Traveling Waves in the Mammalian Cortex
Richardson K, Schiff S, Gluckman B. Control of Traveling Waves in the Mammalian Cortex. Physical Review Letters 2005, 94: 028103. PMID: 15698234, PMCID: PMC1513188, DOI: 10.1103/physrevlett.94.028103.Peer-Reviewed Original Research