title: Detecting chaotic structures in noisy pulse trains based on interspike interval reconstruction.
abstract: The nonlinear prediction method based on the interspike interval (ISI) reconstruction is applied to the ISI sequence of noisy pulse trains and the detection of the deterministic structure is performed. It is found that this method cannot discriminate between the noisy periodic pulse train and the noisy chaotic one when noise-induced pulses exist. When the noise-induced pulses are eliminated by the grouping of ISI sequence with the genetic algorithm, the chaotic structure of the chaotic firings becomes clear, and the noisy chaotic pulse train could be discriminated from the periodic one.
authors.affiliation: Department of Basic Engineering in Global Environment, Faculty of Engineering, Kogakuin University, 2665-1 Nakano, Hachioji, Tokyo 192-0015, Japan. kanamaru@sekine-lab.ei.tuat.ac.jp
authors.forename: Takashi
authors.initials: T
authors.lastname: Kanamaru
authors.forename: Masatoshi
authors.initials: M
authors.lastname: Sekine
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D000818:Animals; D016477:Artifacts; D004558:Electric Stimulation; D006801:Humans; D008959:Models, Neurological; D016571:Neural Networks, Computer; D009474:Neurons / Q000502:physiology*; D017711:Nonlinear Dynamics; D012815:Signal Processing, Computer-Assisted; D009435:Synaptic Transmission / Q000502:physiology*; D013997:Time Factors