• DocumentCode
    2668021
  • Title

    Effect of hybrid synapses on vibrational resonance in neuron populations with small-world topology

  • Author

    Sun, Jianbing ; Deng, Bin ; Wei, Xile ; Wang, Jiang ; Zhao, Jia

  • Author_Institution
    Sch. of Electr. Eng. & Autom., Tianjin Univ., Tianjin, China
  • fYear
    2012
  • fDate
    23-25 May 2012
  • Firstpage
    1172
  • Lastpage
    1177
  • Abstract
    The response of fifty coupled FitzHugh-Nagumo neurons with small-world topology, under high-frequency driving, to a subthreshold signal is investigated. We demonstrate the occurrence of vibrational resonance and it is shown that optimal amplitude of the high-frequency driving enhances the response of neuron populations to a subthreshold low-frequency input. Simulation results show that chemical coupling is more efficient than electrical coupling in signal detection and electrical coupling is better in signal transmission for local input. Networks with hybrid synaptic couplings combine the advantages in signal detection and propagation. By altering the ratio of the two types of synapse in hybrid coupled neuron population, it is shown that no matter what its ratio in a neuron population is, the chemical synapses will improve the ability of weak signal detection of neuron populations all the time. And the larger ratio of the electrical coupling in a neuron population is, the better the signal is propagated.
  • Keywords
    bioelectric phenomena; neural nets; neurophysiology; resonance; signal detection; topology; FitzHugh-Nagumo neurons; chemical coupling; electrical coupling; high-frequency driving; hybrid coupled neuron population; hybrid synaptic couplings; local input; optimal amplitude; signal detection; signal propagation; signal transmission; small-world topology; subthreshold low-frequency input; vibrational resonance; Chemicals; Couplings; Neurons; Oscillators; Signal detection; Synchronization; Topology; Hybrid Synapses; Small-world Network; Vibrational Resonance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2012 24th Chinese
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4577-2073-4
  • Type

    conf

  • DOI
    10.1109/CCDC.2012.6244187
  • Filename
    6244187