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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]

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

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]

Independent component analysis applied to feature extraction from colour and stereo images.  Hoyer PO , Hyvarinen A Network 2000 ;11 (3) :191-210 [PMID: 11014668]

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]

Interpolating vectors for robust pattern recognition  Kunihiko FUKUSHIMA Neural Networks 2007 ;20 (8) :904-916

Mathematical analysis of a correlation-based model for orientation map formation  Tadashi Yamazaki Neural Networks 2003 ;16 (1) :47--54

Mathematical Foundations of Neurocomputing  Amari S Proceedings of the IEEE 1990 ;78 (9) :1443--1463

Neocognitron capable of incremental learning.  Fukushima, Kunihiko Neural networks 2004 ;17 (1) :37-46 [PMID: 14690705]

Neocognitron for handwritten digit recognition  Fukushima Kunihiko Neurocomputing 2003 ;51 :161-180

Neocognitron for handwritten digit recognition == Program in C language  FUKUSHIMA Kunihiko

Neocognitron on SUN workstation  Fukushima Kunihiko

Neocognitron trained with winner-kill-loser rule  Kunihiko FUKUSHIMA Neural Networks 2010 ;23 (7) :926-938

Neocognitron with dual C-cell layers  Fukushima Kunihiko , Okada Masato , Hiroshige Kazuhito Neural Networks 1994 ;7 (1) :41-47

Neocognitron: a hierarchical neural network capable of visual pattern recognition  Fukushima Kunihiko Neural Networks 1988 ;1 (2) :119-130

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

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

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

Neural network model for selective attention in visual pattern recognition and associative recall  Fukushima Kunihiko Applied Optics 1987 ;26 (23) :4985-4992

Neural networks for visual pattern recognition  Fukushima Kunihiko IEICE Transactions 1991 ;0 (1) :179-190