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icon_papar A neural network for visual pattern recognition 
Fukushima Kunihiko
IEEE Computer 1988 ;21 (3) :65-75
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 Analysis of the process of visual pattern recognition by the neocognitron 
Fukushima Kunihiko
Neural Networks 1989 ;2 (6) :413-420
icon_papar BCM network develops orientation selectivity and ocular dominance in natural scene environment. 
Shouval H , Intrator N , Cooper LN
Vision Res 1997 ;37 (23) :3339-42 [PMID: 9425548]
icon_papar Cognitron: A self-organizing multilayered neural network 
Fukushima Kunihiko
Biological Cybernetics 1975 ;20 :121-136
icon_papar Genetic evidence that relative synaptic efficacy biases the outcome of synaptic competition. 
Buffelli M , Burgess RW , Feng G , Lobe CG , Lichtman JW , Sanes JR
Nature 2003 ;424 (6947) :430-4 [PMID: 12879071]
icon_papar Increasing robustness against background noise: visual pattern recognition by a neocognitron. 
Fukushima K
Neural networks : the official journal of the International Neural Network Society 2011 ;24 (7) :767-78 [PMID: 21482455]
icon_papar Interpolating vectors for robust pattern recognition 
Kunihiko FUKUSHIMA
Neural Networks 2007 ;20 (8) :904-916
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
icon_papar Neocognitron with dual C-cell layers 
Fukushima Kunihiko , Okada Masato , Hiroshige Kazuhito
Neural Networks 1994 ;7 (1) :41-47
icon_papar Neocognitron: a hierarchical neural network capable of visual pattern recognition 
Fukushima Kunihiko
Neural Networks 1988 ;1 (2) :119-130
icon_papar Neocognitron: A new algorithm for pattern recognition tolerant of deformations and shifts in position 
Fukushima Kunihiko , Miyake Sei
Pattern Recognition 1982 ;15 (6) :455-469
icon_papar Neocognitron:A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position 
Fukushima Kunihiko
Biological Cybernetics 1980 ;36 (4) :193-202
icon_papar Neural network model for selective attention in visual pattern recognition and associative recall 
Fukushima Kunihiko
Applied Optics 1987 ;26 (23) :4985-4992
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