DocumentCode :
2769499
Title :
Bursting analysis and synapse mechanism of a piece-wise constant spiking neuron model
Author :
Yamashita, Yutaro ; Torikai, Hiroyuki
Author_Institution :
Grad. Sch. of Eng. Sci., Osaka Univ., Toyonaka, Japan
fYear :
2012
fDate :
10-15 June 2012
Firstpage :
1
Lastpage :
8
Abstract :
A piece-wise constant (ab. PWC) spiking neuron model that can reproduce various neuron-like phenomena including spikings and burstings is presented. Using an analytical iterative map, it is shown that the model can exhibit spikings, burstings, and related bifurcation scenarios, which are qualitatively similar to that of standard neuron models. Also, the bifurcation scenario can be observed in an actual hardware. In addition, a synapse model for the presented neuron model is presented. It is shown that a synapse-coupled system can exhibit various synchronizations that are often observed in synapse-coupled systems of standard neuron models.
Keywords :
iterative methods; neural nets; analytical iterative map; bursting analysis; piece-wise constant spiking neuron model; synapse mechanism; synapse-coupled system; Artificial neural networks; Biological system modeling; TV;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks (IJCNN), The 2012 International Joint Conference on
Conference_Location :
Brisbane, QLD
ISSN :
2161-4393
Print_ISBN :
978-1-4673-1488-6
Electronic_ISBN :
2161-4393
Type :
conf
DOI :
10.1109/IJCNN.2012.6252389
Filename :
6252389
Link To Document :
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