DocumentCode
3493795
Title
A novel piece-wise constant analog spiking neuron model and its neuron-like excitabilities
Author
Yamashita, Yutaro ; Torikai, Hiroyuki
fYear
2011
fDate
July 31 2011-Aug. 5 2011
Firstpage
717
Lastpage
724
Abstract
A novel analog spiking neuron model which has a piece-wise constant (ab. PWC) vector field and can be implemented by a simple electronic circuit is proposed. Using theories on discontinuous ODEs, the dynamics of the proposed model can be reduced into a one-dimensional return map analytically. Using the return map, it is shown that the proposed model can exhibit various neuron-like behaviors and bifurcations. It is also shown that the model can reproduce not only the individual neuron-like behaviors and bifurcations but also relations among them that are typically observed in biological and model neurons.
Keywords
bifurcation; bioelectric potentials; biology computing; differential equations; neural nets; 1D return map; discontinuous ODE; electronic circuit; neuron-like behaviors; neuron-like bifurcations; neuron-like excitabilities; ordinary differential equation; piece-wise constant analog spiking neuron model; piece-wise constant vector field; Analytical models; Artificial neural networks; Bifurcation; Biological system modeling; Copper; Neurons; Video recording; Bifurcation; Electronic hardware neuron; Excitability; Spiking neuron model;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks (IJCNN), The 2011 International Joint Conference on
Conference_Location
San Jose, CA
ISSN
2161-4393
Print_ISBN
978-1-4244-9635-8
Type
conf
DOI
10.1109/IJCNN.2011.6033292
Filename
6033292
Link To Document