文章基本信息

标题：視覚系における動的な群化過程のニューラルネットワークモデル
本地全文：下载
作者：小林新 ; 岡林繁 ; 堀場勇夫等
期刊名称：映像情報メディア学会誌
印刷版ISSN：1342-6907
电子版ISSN：1881-6908
出版年度：1999
卷号：53
期号：1
页码：135-141
DOI：10.3169/itej.53.135
出版社：The Institute of Image Information and Television Engineers
摘要：The mechanism underlying perceptual grouping of visual stimuli is not static, but dynamic. In this paper, the dynamical grouping process is implemented with a neural network model consisting of an array of (hyper) columns suggested by Hubel & Wiesel, where intracolumnar inhibition and intercolumnar facilitation are incorporated. The model was applied successfully to figures consisting of a.set of points yielding either of two ways of groupings from time to time due to neural fatigue. Then the model was extended to introduce dependency on fixation points as well as neural fatigue and then applied to the Necker Cube. The model output either of two ways of 3D interpretations depending on the fixation points.
关键词：Necker Cube;視覚;群化;ニューラルネットワーク;モデル;疲労