A simple spike neural network can generate complex firing patterns

Koh Fuchigami, Noriyasu Homma, Masao Sakai, Kenichi Abe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)


In this paper, we develop a double feedback neural unit for generating impulse sequence that is used in nervous systems to transmit information. One of advantages of the DFNU is in its simple structure using only double feedback loops. Simulation results show that a wide range of firing patterns from cyclic and synchronized oscillation to random firing can be observed from a randomly coupled network consisting of DFNUs by changing only one parameter of the networks. Especially, choosing a critical value within a specific range for the single parameter, synchronous dynamics with various frequency range, or chaotic firing patterns that observed widely in biological nervous system, can also be generated by the network.

Original languageEnglish
Title of host publicationProceedings of the SICE Annual Conference
Number of pages4
Publication statusPublished - 2004
EventSICE Annual Conference 2004 - Sapporo, Japan
Duration: 2004 Aug 42004 Aug 6


OtherSICE Annual Conference 2004


  • Double feedback
  • Firing pattern
  • Neural spike
  • Synchronous dynamics

ASJC Scopus subject areas

  • Engineering(all)


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