title: EEG-like signals generated by a simple chaotic model based on the logistic equation.
abstract: We introduce a simple model to produce EEG-like signals. The model is based on the assumption that the number of active nerve cells that generate an electric field, at a given time, is essentially chaotic. In accordance, we use the logistic equation together with a spike-like function to simulate the neuronal activity processes. With this model, we are able to generate EEG-like patterns, with quite a short time of calculation. Real pre-recorded neuronal and simulated signals, as well as their power spectra, are compared in terms of the main conventional EEG frequency peaks.
authors.affiliation: Instituto de Física e Instituto de Investigación Sobre el Trabajo, Universidad de Guanajuato, León, Gto 37150, Mexico. perea@fisica.ugto.mx
authors.forename: G
authors.initials: G
authors.lastname: Perea
authors.forename: S
authors.initials: S
authors.lastname: Márquez-Gamiño
authors.forename: S
authors.initials: S
authors.lastname: Rodríguez
authors.forename: G
authors.initials: G
authors.lastname: Moreno
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D001921:Brain / Q000502:physiology*; D001931:Brain Mapping / Q000379:methods; D003198:Computer Simulation; D004569:Electroencephalography / Q000379:methods*; D006801:Humans; D016015:Logistic Models; D008959:Models, Neurological; D009415:Nerve Net / Q000502:physiology*; D009474:Neurons / Q000502:physiology*; D017711:Nonlinear Dynamics