Presentation	1999/1/21 Visual Information Processing by Neural Networks Kunihiko Fukushima,
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Abstract(in English)	To capture and process visual information flexibly and efficiently from changing external world, the function of active information processing and self-organization is indispensable. When looking at an object, for example, the brain does not passively accept all information within the visual field. It moves eyes and focuses attention to the places that attract its interest, and actively gathers only necessary information. The self-organization of the neural network is another important function for flexible information processing. The brain modifies its own structure to adapt the environment. This paper introduces neural network models for these mechanisms from the works by the author's research group.
Keyword(in Japanese)	(See Japanese page)
Keyword(in English)	Neural network model / Visual system / Active vision / Selective attention / Self-organization / Pattern recognition
Paper #	PRMU98-184
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Conference Information
Committee	PRMU
Conference Date	1999/1/21(1days)
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Paper Information
Registration To	Pattern Recognition and Media Understanding (PRMU)
Language	JPN
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	Visual Information Processing by Neural Networks
Sub Title (in English)
Keyword(1)	Neural network model
Keyword(2)	Visual system
Keyword(3)	Active vision
Keyword(4)	Selective attention
Keyword(5)	Self-organization
Keyword(6)	Pattern recognition
1st Author's Name	Kunihiko Fukushima
1st Author's Affiliation	Graduate School of Engineering Science, Osaka Univwersity()
Date	1999/1/21
Paper #	PRMU98-184
Volume (vol)	vol.98
Number (no)	527
Page	pp.pp.-
#Pages	8
Date of Issue