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
Link To Document :
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