• DocumentCode
    2949332
  • Title

    Modeling weakly connected networks of neural oscillators with spiking neurons

  • Author

    Valova, Iren ; Gueorguieva, Natacha ; Georgiev, George

  • Author_Institution
    Comput. Sci., Massachusetts Univ., Dartmouth, MA, USA
  • Volume
    1
  • fYear
    2005
  • fDate
    10-12 Oct. 2005
  • Firstpage
    810
  • Abstract
    The goal of this research is to investigate the relationships between synaptic organizations (anatomy) of the neural networks and the dynamical properties (function) of weakly connected networks of neural oscillators. It is shown how certain parameters of the spiking neuron model can be used to represent these dynamics. The two proposed models are based on the two main cell types in the olfactory bulb, the mitral and granule cells. The dynamics that have been simulated include the reciprocal and lateral inhibition of mitral cells by granule cells, as well as the saturation of mitral cells. The simulations show how certain spike inputs to mitral cells correspond to cortex recognition and discrimination in the olfactory bulb.
  • Keywords
    chemioception; neural nets; biologically inspired neuron model; cortex recognition; granule cell; mitral cell saturation; neural network; neural oscillator; olfactory bulb; spiking neuron model; synaptic organization; weakly connected network; Anatomy; Biological information theory; Biological system modeling; Brain modeling; Computational modeling; Computer science; Nerve fibers; Neurons; Olfactory; Oscillators; Spiking neurons; biologically inspired neuron models; neural oscillations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2005 IEEE International Conference on
  • Print_ISBN
    0-7803-9298-1
  • Type

    conf

  • DOI
    10.1109/ICSMC.2005.1571246
  • Filename
    1571246