2015
The Role of Cell Volume in the Dynamics of Seizure, Spreading Depression, and Anoxic Depolarization
Ullah G, Wei Y, Dahlem M, Wechselberger M, Schiff S. The Role of Cell Volume in the Dynamics of Seizure, Spreading Depression, and Anoxic Depolarization. PLOS Computational Biology 2015, 11: e1004414. PMID: 26273829, PMCID: PMC4537206, DOI: 10.1371/journal.pcbi.1004414.Peer-Reviewed Original ResearchMeSH KeywordsBrainCell SizeCellular MicroenvironmentComputational BiologyDepressionHumansHypoxiaModels, NeurologicalNeuronsSeizuresConceptsAnoxic depolarizationCell swellingDynamics of seizuresGlial KNeuroprotective roleSpreading DepressionEpileptic seizuresSeizuresPhysiological ceilingDepression statePathological activityCell volumeNeuronal dynamicsDepressionPathological statesSeparate seizuresIntervention strategiesNeuron membraneDepolarizationUse of volumeNeuronal behaviorOxygen homeostasisOxygen supplyCells swellSwellingRole of Multiple-Scale Modeling of Epilepsy in Seizure Forecasting
Kuhlmann L, Grayden D, Wendling F, Schiff S. Role of Multiple-Scale Modeling of Epilepsy in Seizure Forecasting. Journal Of Clinical Neurophysiology 2015, 32: 220-226. PMID: 26035674, PMCID: PMC4455036, DOI: 10.1097/wnp.0000000000000149.Peer-Reviewed Original Research
2014
Unification of Neuronal Spikes, Seizures, and Spreading Depression
Wei Y, Ullah G, Schiff S. Unification of Neuronal Spikes, Seizures, and Spreading Depression. Journal Of Neuroscience 2014, 34: 11733-11743. PMID: 25164668, PMCID: PMC4145176, DOI: 10.1523/jneurosci.0516-14.2014.Peer-Reviewed Original ResearchOxygen and seizure dynamics: II. Computational modeling
Wei Y, Ullah G, Ingram J, Schiff S. Oxygen and seizure dynamics: II. Computational modeling. Journal Of Neurophysiology 2014, 112: 213-223. PMID: 24671540, PMCID: PMC4064403, DOI: 10.1152/jn.00541.2013.Peer-Reviewed Original ResearchMeSH KeywordsAction PotentialsAnimalsMaleModels, NeurologicalNeuronsOxygenPotassiumRatsRats, Sprague-DawleySeizuresSodiumConceptsSeizure eventsTissue oxygen pressureIntense neuronal firingSeizure patternsInhibitory neuronsNeuronal firingEpileptic seizuresSeizuresElectrophysiological recordingsOxygen metabolismSeizure dynamicsMetabolic energy consumptionEnergy metabolismExcitatoryMicroenvironment dynamicsRecent studies
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
Modulation 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 roleThe role of inhibition in oscillatory wave dynamics in the cortex
Xiao Y, Huang X, Van Wert S, Barreto E, Wu J, Gluckman B, Schiff S. The role of inhibition in oscillatory wave dynamics in the cortex. European Journal Of Neuroscience 2012, 36: 2201-2212. PMID: 22805065, PMCID: PMC4410882, DOI: 10.1111/j.1460-9568.2012.08132.x.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsBicucullineCarbacholEpilepsies, PartialGABA-A Receptor AgonistsGABA-A Receptor AntagonistsGABA-B Receptor AgonistsGABA-B Receptor AntagonistsMaleMembrane PotentialsModels, NeurologicalNeocortexNeural InhibitionPicrotoxinRatsRats, Sprague-DawleyReceptors, AMPAReceptors, GABA-AReceptors, GABA-BReceptors, N-Methyl-D-AspartateTheta RhythmConceptsGABAergic inhibitionNeocortical brain slicesVoltage-sensitive dye imagingSprague-Dawley ratsPresence of carbacholConcentration-dependent mannerGABAB antagonistGABAA receptorsBrain slicesTheta frequency oscillationsPharmacological methodsDye imagingCortical oscillationsRole of inhibitionBicucullineDisinhibitionGABAATheta oscillationsCortexBasic spatiotemporal patternsInhibitionNeural information processingCarbacholMental tasksAntagonist
2010
Assimilating 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
2009
Tracking and control of neuronal Hodgkin-Huxley dynamics
Ullah G, Schiff S. Tracking and control of neuronal Hodgkin-Huxley dynamics. Physical Review E 2009, 79: 040901. PMID: 19518166, PMCID: PMC2713719, DOI: 10.1103/physreve.79.040901.Peer-Reviewed Original ResearchThe influence of sodium and potassium dynamics on excitability, seizures, and the stability of persistent states: I. Single neuron dynamics
Cressman J, Ullah G, Ziburkus J, Schiff S, Barreto E. The influence of sodium and potassium dynamics on excitability, seizures, and the stability of persistent states: I. Single neuron dynamics. Journal Of Computational Neuroscience 2009, 26: 159-170. PMID: 19169801, PMCID: PMC2704057, DOI: 10.1007/s10827-008-0132-4.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsDiffusionMembrane PotentialsModels, NeurologicalNeurogliaNeuronsPotassiumSeizuresSodiumSodium-Potassium-Exchanging ATPaseConceptsSingle neuron dynamicsDetailed bifurcation analysisLarge amplitude oscillationsExtracellular ion concentration dynamicsMathematical modelBifurcation analysisDynamical mechanismIon concentration dynamicsNeuron dynamicsReasonable approximationFull modelCompanion paperDynamicsImportant fundamental processesConcentration dynamicsTime dependence of stimulation/recording-artifact transfer function estimates for neural interface systems
Chernyy N, Schiff S, Gluckman B. Time dependence of stimulation/recording-artifact transfer function estimates for neural interface systems. Annual International Conference Of The IEEE Engineering In Medicine And Biology Society (EMBC) 2009, 2009: 1380-1383. PMID: 19964759, PMCID: PMC5502111, DOI: 10.1109/iembs.2009.5334297.Peer-Reviewed Original ResearchConceptsControl systemElectrode interface propertiesLow-frequency electric fieldNeural interface systemInterface propertiesControl outputElectric fieldElectrical potential variationsElectrical currentTransfer function magnitudeImpedance changesSystem stateMeasurement pointsInterface systemFunction magnitudeNeural control systemSimultaneous measurementTime dependencePotential variationPropertiesStimulus artifactTransfer function estimatesSystemFilterCurrentKalman 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
2008
The influence of sodium and potassium dynamics on excitability, seizures, and the stability of persistent states: II. Network and glial dynamics
Ullah G, Cressman Jr. J, Barreto E, Schiff S. The influence of sodium and potassium dynamics on excitability, seizures, and the stability of persistent states: II. Network and glial dynamics. Journal Of Computational Neuroscience 2008, 26: 171-183. PMID: 19083088, PMCID: PMC2951284, DOI: 10.1007/s10827-008-0130-6.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 approaches
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
2004
Spiral Waves in Disinhibited Mammalian Neocortex
Huang X, Troy W, Yang Q, Ma H, Laing C, Schiff S, Wu J. Spiral Waves in Disinhibited Mammalian Neocortex. Journal Of Neuroscience 2004, 24: 9897-9902. PMID: 15525774, PMCID: PMC4413915, DOI: 10.1523/jneurosci.2705-04.2004.Peer-Reviewed Original Research
1998
Periodic Orbits: A New Language for Neuronal Dynamics
So P, Francis J, Netoff T, Gluckman B, Schiff S. Periodic Orbits: A New Language for Neuronal Dynamics. Biophysical Journal 1998, 74: 2776-2785. PMID: 9635732, PMCID: PMC1299619, DOI: 10.1016/s0006-3495(98)77985-8.Peer-Reviewed Original Research
1995
Predictability of EEG interictal spikes
Scott D, Schiff S. Predictability of EEG interictal spikes. Biophysical Journal 1995, 69: 1748-1757. PMID: 8580318, PMCID: PMC1236408, DOI: 10.1016/s0006-3495(95)80044-5.Peer-Reviewed Original Research
1994
Stochastic versus deterministic variability in simple neuronal circuits: II. Hippocampal slice
Schiff S, Jerger K, Chang T, Sauer T, Aitken P. Stochastic versus deterministic variability in simple neuronal circuits: II. Hippocampal slice. Biophysical Journal 1994, 67: 684-691. PMID: 7948681, PMCID: PMC1225410, DOI: 10.1016/s0006-3495(94)80527-2.Peer-Reviewed Original ResearchConceptsInput-output time seriesEvidence of determinismTime seriesNonlinear predictionDeterministic variabilitySimple neuronal circuitLong time seriesSurrogate dataPresynaptic volley amplitudeStatistical controlFlow approachDiscrete adaptationDispersion approachInput-output functionAmplitudeSingle instanceApproach