Pulsed neural networks consisting of single-flux-quantum spiking neurons


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Please use this identifier to cite or link to this item:http://hdl.handle.net/2115/30267

Title:	Pulsed neural networks consisting of single-flux-quantum spiking neurons
Authors:	Hirose, T. Browse this author
	Asai, T. Browse this author →KAKEN DB
	Amemiya, Y. Browse this author →KAKEN DB
Keywords:	Single-flux-quantum
	Spiking neuron device
	Integrate-and-fire neuron
	Pulsed neural network
Issue Date:	1-Oct-2007
Publisher:	Elsevier B.V.
Journal Title:	Physica C : Superconductivity
Volume:	463-465
Start Page:	1072
End Page:	1075
Publisher DOI:	10.1016/j.physc.2007.02.043
Abstract:	An inhibitory pulsed neural network was developed for brain-like information processing, by using single-flux-quantum (SFQ) circuits. 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.
Relation:	http://www.sciencedirect.com/science/journal/09214534
Type:	article (author version)
URI:	http://hdl.handle.net/2115/30267
Appears in Collections:	情報科学院・情報科学研究院 (Graduate School of Information Science and Technology / Faculty of Information Science and Technology) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 廣瀬哲也

OAI-PMH ( junii2 , jpcoar_1.0 )

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