Presentation 2006-11-11
Bifurcation phenomena of artificial neuron model with piecewise linear base signal
Toshimitsu OHTANI, Toshimichi SAITO, Hiroyuki TORIKAI,
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Abstract(in English) This paper studies a bifurcating neuron with a periodic piecewise linear base signal. The dynamics of bifurcating neuron is described by a 1D pulse position map. In the case of triangular base signal, the map is piecewise linear and we can analyze rich phenomena precisely. We clarify mechanism of bifurcation phenomena based on maps and interspike interval. Especially, intersections of tangent and singular bifurcation sets are investigated in detail. These results may be developed into novel bifurcation theory of pulse-coupled systems.
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Keyword(in English) Spiking Neurons / Pulse-coupled neural networks / Bifurcation / Chaos
Paper # NC2006-68
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Committee NC
Conference Date 2006/11/4(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Bifurcation phenomena of artificial neuron model with piecewise linear base signal
Sub Title (in English)
Keyword(1) Spiking Neurons
Keyword(2) Pulse-coupled neural networks
Keyword(3) Bifurcation
Keyword(4) Chaos
1st Author's Name Toshimitsu OHTANI
1st Author's Affiliation Department of Electronics, Electrical and Computer Engineering, Hosei University()
2nd Author's Name Toshimichi SAITO
2nd Author's Affiliation Department of Electronics, Electrical and Computer Engineering, Hosei University
3rd Author's Name Hiroyuki TORIKAI
3rd Author's Affiliation Department of Electronics, Electrical and Computer Engineering, Hosei University
Date 2006-11-11
Paper # NC2006-68
Volume (vol) vol.106
Number (no) 342
Page pp.pp.-
#Pages 5
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