Detail

ID
Title	Neocognitron
Free Keywords	neocognitron, Fukushima, Kunihiko, NHK
Description	If you are planning to study character recognition, you should start with the great works by the pioneer, Dr. Kunihiko Fukushima.
Last Modified Date	Mar 16, 2004 15:11:33
Created Date	Feb 25, 2004 13:58:03
Contributor	Isao YAMAGUCHI (isao)
Item Type	Binder
Change Log(History)
Index	/ Public / Binders / Public / Visiome 2004 / Models & Theory / Model / Public / Visiome 2004 / Models & Theory / Model / MLP / Public / Visiome 2004 / Models & Theory / Model / Neocognitron

Registerd items

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

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

Analysis of the process of visual pattern recognition by the neocognitron  Fukushima Kunihiko Neural Networks 1989 ;2 (6) :413-420

Cognitron: A self-organizing multilayered neural network  Fukushima Kunihiko Biological Cybernetics 1975 ;20 :121-136

Handwritten alphanumeric character recognition by the neocognitron  Fukushima Kunihiko , Wake Nobuaki IEEE Transactions on Neural Networks 1991 ;2 (3) :355-365

Handwritten Alphanumeric Character Recognition by the Neocognitron --- Demonstration on SUN workstation  Fukushima Kunihiko

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

Recognition of Partly Occluded Patterns: A Neural Network Model === Simulation program in C language  FUKUSHIMA Kunihiko

Neocognitron on SUN workstation  Fukushima Kunihiko

Recognition and Segmentation of Connected Characters with Selective Attention --- Demonstration on SUN workstation  Fukushima Kunihiko

Selective Attention Model on SUN workstation  Fukushima Kunihiko

Use of different thresholds in learning and recognition  Fukushima Kunihiko , Tanigawa Masashi Neurocomputing 1996 ;11 (1) :1-17

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

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

Realization of a neural network model neocognitron on a hypercube parallel computer  Ito Takayuki , Fukushima Kunihiko , Miyake Sei Journal of High Speed Computing 1990 ;2 (1) :1-16

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

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

Recognition of Partly Occluded Patterns: A Neural Network Model === Text and Figures  Text Fukushima . Kunihiko

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

Recognition of partly occluded patterns: a neural network model  Fukushima Kunihiko Biological Cybernetics 2001 ;84 (4) :251-259

Self-organization of shift-invariant receptive fields  Fukushima Kunihiko Neural Networks 1999 ;12 (6) :791-801

Neural network model of the visual system: binding form and motion  Kikuchi Masayuki , Fukushima Kunihiko Neural Networks 1996 ;9 (8) :1417-1427

Recognition and segmentation of connected characters with selective attention  Fukushima Kunihiko , Imagawa Taro Neural Networks 1993 ;6 (1) :33-41

Shinkeikairo to Johoshori , (written in Japanese) (Neural Networks and Information Processing)  Fukushima Kunihiko

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

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

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

A neural network for visual pattern recognition  Fukushima Kunihiko IEEE Computer 1988 ;21 (3) :65-75

A neural network model for a mechanism of visual pattern recognition -- Neocognitron --  Movie Kunihiko FUKUSHIMA . Sei MIYAKE . Takayuki ITO

A neural network model for selective attention in visual pattern recognition  Fukushima Kunihiko Biological Cybernetics 1986 ;55 (1) :5-15

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