Presentation 2005/1/20
Numerical Examinations of Single-Electron Neural Devices : Temperature Characteristics on Competitive Neural Network
Takahide OYA, Tetsuya ASAI, Ryo KAGAYA, Tetsuya HIROSE, Yoshihito AMEMIYA,
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Abstract(in English) Information processing devices in the natural world ; e.g., our central nervous systems, can operate correctly under a noisy environment even though the unit elements are sensitive to noises. Recently many researchers have reported noise tolerance on neural networks. If we apply such tolerance of neural networks to single-electron circuits, we may design novel single-electron LSIs that have such tolerance for device failure or thermal noise. In this report, we propose a neuron circuit with a single-electron circuit, and a neural network with the circuit. We investigate noise and falut tolerance of the proposed network circuits by numerical simulations.
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Keyword(in English) single-electron circuit / competitive neural network / fault tolerance / noise tolerance
Paper # ED2004-233,SDM2004-228
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Committee ED
Conference Date 2005/1/20(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Numerical Examinations of Single-Electron Neural Devices : Temperature Characteristics on Competitive Neural Network
Sub Title (in English)
Keyword(1) single-electron circuit
Keyword(2) competitive neural network
Keyword(3) fault tolerance
Keyword(4) noise tolerance
1st Author's Name Takahide OYA
1st Author's Affiliation Graduate School of Information Science and Technology, Hokkaido University()
2nd Author's Name Tetsuya ASAI
2nd Author's Affiliation Graduate School of Information Science and Technology, Hokkaido University
3rd Author's Name Ryo KAGAYA
3rd Author's Affiliation Graduate School of Information Science and Technology, Hokkaido University
4th Author's Name Tetsuya HIROSE
4th Author's Affiliation Graduate School of Information Science and Technology, Hokkaido University
5th Author's Name Yoshihito AMEMIYA
5th Author's Affiliation Graduate School of Information Science and Technology, Hokkaido University
Date 2005/1/20
Paper # ED2004-233,SDM2004-228
Volume (vol) vol.104
Number (no) 622
Page pp.pp.-
#Pages 8
Date of Issue