• DocumentCode
    579774
  • Title

    Firing Activity Induced by Nonidentical Signal Phases in Two Coupled Excitable Neurons

  • Author

    Liang, Xiaoming ; Zhao, Liang

  • Author_Institution
    Inst. of Math. & Comput. Sci., Univ. of Sao Paulo, Sao Carlos, Brazil
  • fYear
    2012
  • fDate
    20-25 Oct. 2012
  • Firstpage
    97
  • Lastpage
    101
  • Abstract
    In this paper, we study the firing activity of two coupled excitable neurons with sub threshold periodic signalsfootnote{A sub threshold signal means that the signal is too weak to make the neuron firing.}. Particularly, we find that the two coupled excitable neurons can generate spikes to the sub threshold signals with no identical signal phases, indicating that the nonidentical signal phases play an active role for enhancing neuronal response to weak signals. Moreover, we find that regular spikes can be generated by neurons if the level of nonidentical signal phases is at an intermediate value and thus resulting in a resonance-like phenomenon. Furthermore, under the influence of nonidentical signal phases, the regularity of the firing activity also exhibits a resonance-like dependency on the value of coupling coefficient. Finally, we give a explanation to analyze the mechanism of these two types of resonance behavior. We believe that the phenomena found in this paper will be useful for designing neural information processing systems.
  • Keywords
    neural nets; signal processing; coupled excitable neurons; coupling coefficient; firing activity regularity; neural information processing systems; neuronal response enhancement; nonidentical signal phases; resonance behavior; resonance-like dependency; resonance-like phenomenon; spike generation; subthreshold periodic signals; weak signals; Complex networks; Couplings; Neurons; Noise; Stochastic resonance; Trajectory; Excitable neurons; coupling coefficient; firing activity; nonidentical signal phases; subthreshold signal;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks (SBRN), 2012 Brazilian Symposium on
  • Conference_Location
    Curitiba
  • ISSN
    1522-4899
  • Print_ISBN
    978-1-4673-2641-4
  • Type

    conf

  • DOI
    10.1109/SBRN.2012.18
  • Filename
    6374831