2001
Integration of Multidisciplinary Sensory Data
Miller P, Nadkarni P, Singer M, Marenco L, Hines M, Shepherd G. Integration of Multidisciplinary Sensory Data. Journal Of The American Medical Informatics Association 2001, 8: 34-48. PMID: 11141511, PMCID: PMC134590, DOI: 10.1136/jamia.2001.0080034.Peer-Reviewed Original ResearchConceptsNeuroinformatics researchFlexible data modelDiverse heterogeneous dataHuman Brain ProjectNew informatics technologiesHeterogeneous dataData modelSensory dataRelated toolsInformatics technologiesBrain ProjectBuilding databaseSingle unifying frameworkUnifying frameworkProject approachIntegrationComputer model
1999
Computational Analysis of Action Potential Initiation in Mitral Cell Soma and Dendrites Based on Dual Patch Recordings
Shen G, Chen W, Midtgaard J, Shepherd G, Hines M. Computational Analysis of Action Potential Initiation in Mitral Cell Soma and Dendrites Based on Dual Patch Recordings. Journal Of Neurophysiology 1999, 82: 3006-3020. PMID: 10601436, DOI: 10.1152/jn.1999.82.6.3006.Peer-Reviewed Original Research
1984
Compensation for resistance in series with excitable membranes
Moore J, Hines M, Harris E. Compensation for resistance in series with excitable membranes. Biophysical Journal 1984, 46: 507-514. PMID: 6498268, PMCID: PMC1435019, DOI: 10.1016/s0006-3495(84)84048-5.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsAxonsCell MembraneDecapodiformesElectric ConductivityElectrophysiologyMathematicsModels, NeurologicalConceptsVoltage errorBridge circuitCurrent signalsElectrical methodsAccurate controlConventional feedbackError signalVoltage jumpCurrent stepsConventional methodsCurrentFivefold improvementCompensationMeasurementsFull compensationMeasurement of RSCapacitanceErrorResistanceAbrupt changesSignalsCircuitMethodExtracellular resistanceMembrane current signals