The Brain & Neural Networks
Online ISSN : 1883-0455
Print ISSN : 1340-766X
ISSN-L : 1340-766X
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Volume 2, Issue 3
Displaying 1-8 of 8 articles from this issue
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  • Self-Organization of Visual Feature Extraction of Edge Orientation, Motion Direction and Speed
    Dai Ito, Takashi Omori
    1995 Volume 2 Issue 3 Pages 77-83
    Published: November 05, 1995
    Released on J-STAGE: December 01, 2010
    DOIhttps://doi.org/10.3902/jnns.2.77
    JOURNAL FREE ACCESS
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    In this paper, we propose a neural network model that can detect in any of moving direction, moving speed and edge orientation of visual stimuli. The model adapts its structure to each function by a parameter of learning equations. The learning equations vary a horizontal connection and a self connection weight. Preferred stimulus is decided by the horizontal connection and the self connection. Computer simulations show self-organization of a edge orientation, a moving direction and a moving speed selectivity by single model. And we discuss a possibility of a functional specialization model.
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