Biological Cybernetics

, Volume 92, Issue 5, pp 333–338 | Cite as

Detecting chaotic structures in noisy pulse trains based on interspike interval reconstruction

  • Takashi Kanamaru
  • Masatoshi Sekine


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.


Genetic Algorithm Prediction Method Pulse Train Periodic Pulse Interspike Interval 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  1. 1.Department of Basic Engineering in Global Environment, Faculty of EngineeringKogakuin UniversityHachioji, TokyoJapan
  2. 2.Department of Electrical and Electronic Engineering, Faculty of TechnologyTokyo University of Agriculture and TechnologyKoganei-city, TokyoJapan

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