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icon_papar From basic network principles to neural architecture: emergence of spatial-opponent cells. 
Linsker R
Proc Natl Acad Sci U S A 1986 ;83 (19) :7508-12 [PMID: 3463980]
icon_papar Hippocampal LTP depends on spatial and temporal correlation of inputs. 
Tsukada M. , Aihara T. , Saito H. , Kato H.
Neural Networks 1996 ;9 (8) :1357-1365
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 Independent component analysis applied to feature extraction from colour and stereo images. 
Hoyer PO , Hyvarinen A
Network 2000 ;11 (3) :191-210 [PMID: 11014668]
icon_papar Injection of nicotine into the superior colliculus facilitates occurrence of express saccades in monkeys. 
Aizawa H , Kobayashi Y , Yamamoto M , Isa T
J Neurophysiol 1999 ;82 (3) :1642-6 [PMID: 10482780]
icon_papar Interpolating vectors for robust pattern recognition 
Kunihiko FUKUSHIMA
Neural Networks 2007 ;20 (8) :904-916
icon_papar Mathematical analysis of a correlation-based model for orientation map formation 
Tadashi Yamazaki
Neural Networks 2003 ;16 (1) :47--54
icon_papar Mathematical Foundations of Neurocomputing 
Amari S
Proceedings of the IEEE 1990 ;78 (9) :1443--1463
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 neural network model for a mechanism of visual pattern recognition 
Kunihiko FUKUSHIMA , Sei MIYAKE , Takayuki ITO
IEEE Transactions on Systems, Man, and Cybernetics 1983 ;0 (5) :826-834
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
icon_papar Neural networks for visual pattern recognition 
Fukushima Kunihiko
IEICE Transactions 1991 ;0 (1) :179-190
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