title: Collective modes in neural networks.
abstract: A theoretical model, based on response of a neural network to an external stimulus, was constructed to determine its collective modes. It is suggested that the waves observed in EEG records reflect the cooperative electrical activity of a large number of neurons. Further, an actual EEG time series was analyzed to deduce two dynamic parameters, dimension d of phase space of the neural system and the minimum number of variables nc necessary to describe the EEG pattern. We find d = 6.2 and nc = 11.
authors.affiliation: Physical Research Laboratory Navrangpura, Ahmedabad, India.
authors.forename: J C
authors.initials: JC
authors.lastname: Parikh
authors.forename: V
authors.initials: V
authors.lastname: Satyan
authors.forename: R
authors.initials: R
authors.lastname: Pratap
mesh_terms: D001185:Artificial Intelligence; D001921:Brain / Q000502:physiology*; D003198:Computer Simulation; D004569:Electroencephalography; D006801:Humans; D008959:Models, Neurological