• DocumentCode
    1818214
  • Title

    Symbolized particles store type neuron model and its application

  • Author

    Miyamoto, Kazunori ; Aman, Hirohisa ; Yanaru, Torao ; Nagamatsu, Masahiro

  • Author_Institution
    Kyushu Inst. of Technol., Fukuoka, Japan
  • Volume
    1
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    483
  • Abstract
    As a simplified analogy of the function that the real neurons and synapses do by chemical particles, a new type of neuron model is proposed including its simulated synaptic function where the symbolized particles are generated, emitted, stored and transmitted toward the neurons of the next layer. The several kinds of chemical particles have been discovered on the recent scientific knowledge. The simulated system of the model was applied to the analysis of voice signals, and obtained useful results such that avert with a single neuron including the unit simulated synapse, the examined voices demonstrated a high degree of recognition. The reaction mechanism in simulated synaptic region would be shown by some strategy
  • Keywords
    auditory evoked potentials; neural nets; neurophysiology; physiological models; auditory neurons; neural nets; neuron model; simulated synaptic region; symbolized particles; synapse; synaptic function; Analytical models; Artificial neural networks; Chemical technology; Clocks; Nerve fibers; Nervous system; Neurons; Pulse generation; Signal analysis; Speech analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1999. IJCNN '99. International Joint Conference on
  • Conference_Location
    Washington, DC
  • ISSN
    1098-7576
  • Print_ISBN
    0-7803-5529-6
  • Type

    conf

  • DOI
    10.1109/IJCNN.1999.831543
  • Filename
    831543