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