Presentation	1995/10/19 Pulse Coded Cellular Neural Network Tetsuya Kimura, Mumemitsu Ikegami, Mamoru Tanaka,
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Abstract(in English)	This paper describes a pulse coded cellular neural network which uses random pulse sequences as inputs and is operated equivalently as an analog cellular neural network. The pulse-stream is used for representation of the neuronal signal . The neural network implementation based on the pulse-stream scheme has several advantages: the network can be easily supported by the digital VLSI technology. the input/output are easily interfaced with the host controller, and it is based on the understanding of the biological neurons.
Keyword(in Japanese)	(See Japanese page)
Keyword(in English)	random pulse / cellular neural network / image halftoning
Paper #	NLP95-58
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Conference Information
Committee	NLP
Conference Date	1995/10/19(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)	Pulse Coded Cellular Neural Network
Sub Title (in English)
Keyword(1)	random pulse
Keyword(2)	cellular neural network
Keyword(3)	image halftoning
1st Author's Name	Tetsuya Kimura
1st Author's Affiliation	Dept. of Electrical, Eng., Sophia Univ.()
2nd Author's Name	Mumemitsu Ikegami
2nd Author's Affiliation	Dept. of Electrical, Eng., Sophia Univ.
3rd Author's Name	Mamoru Tanaka
3rd Author's Affiliation	Dept. of Electrical, Eng., Sophia Univ.
Date	1995/10/19
Paper #	NLP95-58
Volume (vol)	vol.95
Number (no)	296
Page	pp.pp.-
#Pages	7
Date of Issue