Presentation 2010-10-28
Fundamental analysis of a rotate-and-fire digital spiking neuron toward development of its learning algorithm
Tetsuya HISHIKI, Hiroyuki TORIKAI,
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Abstract(in English) A rotate-and-fire digital spiking neuron is a wired system of shift registers that is suitable for electronic circuit implementation and on-chip learning. An iterative map which can analytically describe the neuron dynamics is derived. Using the map, it is show that the neuron can exhibit neuron-like bifurcation phenomena and neuron-like responses. In addition, an approach toward development of the neurons' on-chip learning algorithm is presented.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Spiking neuron model / FPGA / Cellular automaton (CA) / Bifurcation / Learning
Paper # NLP2010-88
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Conference Information
Committee NLP
Conference Date 2010/10/21(1days)
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Paper Information
Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Fundamental analysis of a rotate-and-fire digital spiking neuron toward development of its learning algorithm
Sub Title (in English)
Keyword(1) Spiking neuron model
Keyword(2) FPGA
Keyword(3) Cellular automaton (CA)
Keyword(4) Bifurcation
Keyword(5) Learning
1st Author's Name Tetsuya HISHIKI
1st Author's Affiliation Graduate School of Engineering Science, Osaka University()
2nd Author's Name Hiroyuki TORIKAI
2nd Author's Affiliation Graduate School of Engineering Science, Osaka University
Date 2010-10-28
Paper # NLP2010-88
Volume (vol) vol.110
Number (no) 255
Page pp.pp.-
#Pages 6
Date of Issue