DocumentCode
1092588
Title
Application of Hopfield network to saccades
Author
Washizawa, Teruyoshi
Author_Institution
Fac. of Letters, Keio Univ., Kanagawa, Japan
Volume
4
Issue
6
fYear
1993
fDate
11/1/1993 12:00:00 AM
Firstpage
995
Lastpage
997
Abstract
Human eye movement mechanisms (saccades) are very useful for scene analysis, including object representation and pattern recognition. A Hopfield neural network for emulating saccades is proposed. The network uses an energy function that includes location and identification tasks. Computer simulation shows that the network performs those tasks cooperatively. The result suggests that the network is applicable to shift-invariant pattern recognition
Keywords
Hopfield neural nets; computer vision; digital simulation; eye; image recognition; physiological models; vision; Hopfield neural network; computer simulation; human eye movement mechanisms; identification; location; object representation; saccades; scene analysis; shift-invariant pattern recognition; Acoustic signal processing; Artificial neural networks; Automation; Feature extraction; Neural networks; Pattern recognition; Probability distribution; Testing; Training data; Underwater acoustics;
fLanguage
English
Journal_Title
Neural Networks, IEEE Transactions on
Publisher
ieee
ISSN
1045-9227
Type
jour
DOI
10.1109/72.286896
Filename
286896
Link To Document