6533b7defe1ef96bd12768f8

RESEARCH PRODUCT

On a set of data for the membrane potential in a neuron

Reinhard Höpfner

subject

Statistics and ProbabilityModels NeurologicalNeural ConductionAction PotentialsTetrodotoxinType (model theory)Statistics NonparametricGeneral Biochemistry Genetics and Molecular BiologyMembrane PotentialsSet (abstract data type)MiceStatisticsAnimalsDiffusion (business)MathematicsCerebral CortexNeuronsMembrane potentialStochastic ProcessesQuantitative Biology::Neurons and CognitionGeneral Immunology and MicrobiologyStochastic processPyramidal CellsApplied MathematicsNonparametric statisticsGeneral MedicineElectrophysiologyElectrophysiologynervous systemDiffusion processModeling and SimulationPotassiumGeneral Agricultural and Biological SciencesBiological systemAlgorithms

description

We consider a set of data where the membrane potential in a pyramidal neuron is measured almost continuously in time, under varying experimental conditions. We use nonparametric estimates for the diffusion coefficient and the drift in view to contribute to the discussion which type of diffusion process is suitable to model the membrane potential in a neuron (more exactly: in a particular type of neuron under particular experimental conditions).

yearjournalcountryeditionlanguage
2006-05-21Mathematical Biosciences
https://doi.org/10.1016/j.mbs.2006.10.009