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Space-in-Time and Time-in-Space Self-Organizing Maps for Exploring Spatiotemporal Patterns

✍ Scribed by G. Andrienko; N. Andrienko; S. Bremm; T. Schreck; T. Von Landesberger; P. Bak; D. Keim


Book ID
110985636
Publisher
John Wiley and Sons
Year
2010
Tongue
English
Weight
780 KB
Volume
29
Category
Article
ISSN
0167-7055

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In this paper we present a biologically-inspired generalized artificial model of retinal neural response organization that can serve as a useful framework for analysis of response dynamics in artificial neural networks, specially in the visual systems. Adaptive Response Organizer (ARO), is an ON-cen