Presentation 2007-02-01
Spiking Neuron Devices consisting with Single-Flux-Quantum Circuits and its Applications
Tetsuya HIROSE, Tetsuya ASAI, Yoshihito AMEMIYA,
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Abstract(in English) Single flux quantum (SFQ) circuits can be used for making spiking neuron devices, which are useful elements for constructing intelligent, brain-like computers. The device we propose is based on the leaky integrate-and-fire neuron (IFN) model and uses a SFQ pulse as an action signal or a spike of neurons. The operation of the neuron device is confirmed by computer simulation. It can operate with a short delay of 100 ps or less and is the highest-speed neuron device ever reported. An inhibitory pulsed neural network was developed for brain-like information processing, by using SFQ spiking neuron devices. It consists of spiking neuron devices that are coupled to each other through all-to-all inhibitory connections. The network selects neural activity. The operation of the neural network was confirmed by computer simulation. SFQ neuron devices can imitate the operation of the inhibition phenomenon of neural networks.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Single-flux-quanturn / Spiking neuron device / Integrate-and-fire neuron model / Inhibitory neural net-work
Paper # ED2006-247,SDM2006-235
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Committee ED
Conference Date 2007/1/25(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Spiking Neuron Devices consisting with Single-Flux-Quantum Circuits and its Applications
Sub Title (in English)
Keyword(1) Single-flux-quanturn
Keyword(2) Spiking neuron device
Keyword(3) Integrate-and-fire neuron model
Keyword(4) Inhibitory neural net-work
1st Author's Name Tetsuya HIROSE
1st Author's Affiliation Dept. of Electrical Engineering, Hokkaido University()
2nd Author's Name Tetsuya ASAI
2nd Author's Affiliation Dept. of Electrical Engineering, Hokkaido University
3rd Author's Name Yoshihito AMEMIYA
3rd Author's Affiliation Dept. of Electrical Engineering, Hokkaido University
Date 2007-02-01
Paper # ED2006-247,SDM2006-235
Volume (vol) vol.106
Number (no) 520
Page pp.pp.-
#Pages 5
Date of Issue