Art

J-GLOBAL ID：200902197704989970   Reference number：98A0927758

Self-Organizing Formation of Receptive Fields.

受容野の自己組織的形成

Author (4)： MAEKAWA SATOSHI (通信総研) ,  KITA HAJIME (東京工大) ,  NISHIKAWA YOSHIKAZU (大阪工大) ,  SAWAI HIDEFUMI (通信総研)
Material： 電子情報通信学会論文誌 D-2  (IEICE Transactions on Information and Systems, Pt.2 (Japanese Edition))
Volume： J81-D-2  Issue： 9  Page： 2181-2190  Publication year： Sep. 1998 
JST Material Number： L0197A  ISSN： 0915-1923  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： JAPANESE (JA)

Thesaurus term： *unsupervised learning ,...

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JST classification (1)： Artificial intelligence  (JE08000Z)

Reference (12)：

• FIELD, D. J. What is the goal of sensory coding. Neural Computation. 1994, 6, 559-601
• FUKUSHIMA, K. Necognitron : A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position. Biol. Cybern. 1980, 36, 192-202
• FOLDIAK, P. Forming sparse representations by local anti-hebbian learning. Biol. Cybern. 1990, 64, 165-170
• ZEMEL, R. S. A minimum description length framework for unsupervised learning. Ph. D. thesis, Dept. of Computer Science, Univ. of Toronto. 1993
• OLSHAUSEN, B. A. Eemrgence of simple-cell receptive field properties by learning a sparse. Nature. 1996, 381, 607-609

Terms in the title (2)： 受容野 ,  自己組織