title: How good are formal neurons for modelling real ones?
abstract: A formal neuron has been studied mathematically. The spiking behaviour of a single neuron has been considered and the influence of the other neurons has been replaced by an average activity level. Four different kinds of spiking behaviour are predicted by the model: B (bursts), C (continuous), P (periodic) and S (silent) neurons and several real neurons can be classified within these four categories. Some properties of the spiking neuron are calculated: 1) the time between spikes, 2) the spike train length and 3) the silent time. Because these magnitudes can be measured in the laboratory, an experimental validation of the model is proposed.
authors.affiliation: CRICYT, Mendoza, Argentina.
authors.forename: E N
authors.initials: EN
authors.lastname: Miranda
mesh_terms: D000818:Animals; D005071:Evoked Potentials / Q000502:physiology; D006801:Humans; D008959:Models, Neurological; D016571:Neural Networks, Computer; D009474:Neurons / Q000502:physiology*; D009435:Synaptic Transmission / Q000502:physiology