Presentation 2004/11/20
Spiking Neuron Circuit Using Single-Electron Tunneling Device with Fault-Tolerant Architecture
Takahide OYA, Alexandre SCHMID, Tetsuya ASAI, Yusuf LEBLEBICI, Yoshihito AMEMIYA,
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Abstract(in English) In this report, we present an inhibitory spiking neural network that uses single-electron circuit devices. Recently, the study of various nanodevices such like single-electron devices is developed furthermore. The device failure or signal noise, however, will be problems, when the nanodevices are fabricated. To solve these problems, we constructed the inhibitory competitive network that consists of a single-electron circuit with the fault-tolerant architecture. We confirmed the operations of the proposed circuits by using computer simulation. These simulation results show the proposed circuit promises to overcome the device failure or the signal noise.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Spiking Neuron Circuit / Inhibitory Competitive Network / Single-Electron Circuit / Fault-Tolerant Architecture
Paper # NLP2004-77,NC2004-93
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Committee NC
Conference Date 2004/11/20(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Spiking Neuron Circuit Using Single-Electron Tunneling Device with Fault-Tolerant Architecture
Sub Title (in English)
Keyword(1) Spiking Neuron Circuit
Keyword(2) Inhibitory Competitive Network
Keyword(3) Single-Electron Circuit
Keyword(4) Fault-Tolerant Architecture
1st Author's Name Takahide OYA
1st Author's Affiliation Graduate School of Information Science and Technology, Hokkaido University()
2nd Author's Name Alexandre SCHMID
2nd Author's Affiliation Microelectronic Systems Laboratory, Swiss Federal Institute of Technology (EPFL)
3rd Author's Name Tetsuya ASAI
3rd Author's Affiliation Graduate School of Information Science and Technology, Hokkaido University
4th Author's Name Yusuf LEBLEBICI
4th Author's Affiliation Microelectronic Systems Laboratory, Swiss Federal Institute of Technology (EPFL)
5th Author's Name Yoshihito AMEMIYA
5th Author's Affiliation Graduate School of Information Science and Technology, Hokkaido University
Date 2004/11/20
Paper # NLP2004-77,NC2004-93
Volume (vol) vol.104
Number (no) 474
Page pp.pp.-
#Pages 6
Date of Issue