title: Fixed threshold modeling of an adjustable threshold integrate-and-fire neuronal model.
abstract: An action potential is generated when the membrane potential of a spiking neuron reaches a certain threshold. Although it is well-known that the threshold level of a neuron is not a fixed value and changes with time and neuronal parameters, its variation is often ignored in neuronal modeling due to the complexity of the analysis. Assuming a fixed threshold level, however, may produce non-realistic results. If we find a model to incorporate the impact of the variation of the threshold in a fixed threshold model we can benefit from the simplicity of the existing fixed-threshold models yet obtain more realistic results. It is shown here that, with some approximations, we can create a fixed threshold model for an integrate-and-fire neuronal model from an adjustable threshold model by some simple operations. Both models generate the same spike (action potential) pattern.
authors.affiliation: Ottawa Heart Institute, University of Ottawa, Ottawa, Canada. saeidseyd@sympatico.ca
authors.forename: Saeid
authors.initials: S
authors.lastname: Seydnejad
mesh_terms: D000200:Action Potentials; D004056:Differential Threshold; D004553:Electric Conductivity; D004558:Electric Stimulation; D006801:Humans; D008564:Membrane Potentials; D008954:Models, Biological; D008959:Models, Neurological; D015233:Models, Statistical; D009474:Neurons / Q000378:metabolism / Q000502:physiology*; D017729:Presynaptic Terminals / Q000502:physiology; D015203:Reproducibility of Results; D009435:Synaptic Transmission / Q000502:physiology; D013997:Time Factors