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icon_papar A feature extractor for curvilinear patterns: a design suggested by the mammalian visual system. 
Fukushima K
Kybernetik 1970 ;7 (4) :153-60 [PMID: 5512393]
icon_papar A neural network for visual pattern recognition 
Fukushima Kunihiko
IEEE Computer 1988 ;21 (3) :65-75
icon_data A neural network model for a mechanism of visual pattern recognition -- Neocognitron -- 
Movie
Kunihiko FUKUSHIMA . Sei MIYAKE . Takayuki ITO
icon_papar A neural network model for selective attention in visual pattern recognition 
Fukushima Kunihiko
Biological Cybernetics 1986 ;55 (1) :5-15
icon_papar A neural network model for the mechanism of feature extraction: a self-organizing network with feedback inhibition 
Miyake Sei , Fukushima Kunihiko
Biological Cybernetics 1984 ;50 (5) :377-384
icon_papar A self-organizing neural network with a function of associative memory: Feedback-type cognitron 
Fukushima Kunihiko , Miyake Sei
Biological Cybernetics 1978 ;28 (4) :201-208
icon_papar Adaptive method of realizing natural gradient learning for multilayer perceptrons 
Amari S , Park H , Fukumizu K
Neural Computation 2000 ;12 :1399-1409
icon_papar Analysis of the process of visual pattern recognition by the neocognitron 
Fukushima Kunihiko
Neural Networks 1989 ;2 (6) :413-420
icon_papar Cognitron: A self-organizing multilayered neural network 
Fukushima Kunihiko
Biological Cybernetics 1975 ;20 :121-136
icon_papar Differential and algebraic geometry of multilayer perceptrons 
Amari S , Ozeki T
IEICE Trans 2001 ;0 (1) :31-38
icon_papar Extraction of visual motion and optic flow 
Kunihiko FUKUSHIMA
Neural Networks 2008 ;21 (5) :774-785
icon_book Fundamantals of Computational Neuroscience 
Trappenberg TP
icon_papar Handwritten alphanumeric character recognition by the neocognitron 
Fukushima Kunihiko , Wake Nobuaki
IEEE Transactions on Neural Networks 1991 ;2 (3) :355-365
icon_model Handwritten Alphanumeric Character Recognition by the Neocognitron --- Demonstration on SUN workstation 
Fukushima Kunihiko
Neocognitron 
If you are planning to study character recognition, you should start with the great works by the pioneer, Dr. Kunihiko Fukushima.
icon_papar Neocognitron capable of incremental learning. 
Fukushima, Kunihiko
Neural networks 2004 ;17 (1) :37-46 [PMID: 14690705]
icon_papar Neocognitron for handwritten digit recognition 
Fukushima Kunihiko
Neurocomputing 2003 ;51 :161-180
icon_model Neocognitron for handwritten digit recognition == Program in C language 
FUKUSHIMA Kunihiko
icon_model Neocognitron on SUN workstation 
Fukushima Kunihiko
icon_papar Neocognitron trained with winner-kill-loser rule 
Kunihiko FUKUSHIMA
Neural Networks 2010 ;23 (7) :926-938
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