Visual Feature Extraction by a Multilayered Network of Analog Threshold Elements. - Kunihiko Fukushima (IEEE Trans. Syst. Sci. Cybern., 1969)

Correction to "Visual Feature Extraction by a Multilayered Network of Analog Threshold Elements". - Kunihiko Fukushima (IEEE Trans. Syst. Sci. Cybern., 1970)

Self-Organization of a Neural Network which Gives Position-Invariant Response. - Kunihiko Fukushima (IJCAI, 1979)

Neocognitron: A new algorithm for pattern recognition tolerant of deformations and shifts in position. - Kunihiko Fukushima; Sei Miyake (Pattern Recognit., 1982)

Neocognitron: A neural network model for a mechanism of visual pattern recognition. - Kunihiko Fukushima; Sei Miyake; Takayuki Ito 005 (IEEE Trans. Syst. Man Cybern., 1983)

A neural network model for the mechanism of selective attention in visual pattern recognition. - Kunihiko Fukushima (Syst. Comput. Jpn., 1987)

A Neural Network for Visual Pattern Recognition. - Kunihiko Fukushima (Computer, 1988)

Neocognitron: A hierarchical neural network capable of visual pattern recognition. - Kunihiko Fukushima (Neural Networks, 1988)

A neural network model extracting features from speech signals. - Takayuki Ito 005; Kunihiko Fukushima (Syst. Comput. Jpn., 1988)

Analysis of the process of visual pattern recognition by the neocognitron. - Kunihiko Fukushima (Neural Networks, 1989)

Realization of a Neural Network Model Neocognitron on a Hypercube Parallel Computer. - Takayuki Ito 005; Kunihiko Fukushima; Sei Miyake (Int. J. High Speed Comput., 1990)

Handwritten alphanumeric character recognition by the neocognitron. - Kunihiko Fukushima; Nobuaki Wake (IEEE Trans. Neural Networks, 1991)

Visual Pattern Recognition with Neural Networks. - Kunihiko Fukushima (ICPIA, 1992)

Character recognition with neural networks. - Kunihiko Fukushima (Neurocomputing, 1992)

Neural network for connected character recognition. - Kunihiko Fukushima (ANNES, 1993)

Connected character recognition with a neural network. - Kunihiko Fukushima (ICDAR, 1993)

Recognition and segmentation of connected characters with selective attention. - Kunihiko Fukushima; Taro Imagawa (Neural Networks, 1993)

Character recognition in cursive handwriting with the mechanism of selective attention. - Taro Imagawa; Kunihiko Fukushima (Syst. Comput. Jpn., 1993)

Response to letter by S. Grossberg. - Kunihiko Fukushima (Neural Networks, 1994)

Neocognitron with dual C-cell layers. - Kunihiko Fukushima; Masato Okada; Kazuhito Hiroshige (Neural Networks, 1994)

How to adjust the thresholds of feature-extracting cells in the neocognitron. - Masashi Tanigawa; Kunihiko Fukushima (Syst. Comput. Jpn., 1994)

Speed invariant speech recognition using variable velocity delay lines. - Kouichirou Yamauchi; Megumu Fukuda; Kunihiko Fukushima (Neural Networks, 1995)

Neocognitron learning by backpropagation. - Michihiro Ohno; Masato Okada; Kunihiko Fukushima (Syst. Comput. Jpn., 1995)

Connected character recognition in cursive handwriting using selective attention model with bend processing. - Hayaru Shouno; Kunihiko Fukushima (Syst. Comput. Jpn., 1995)

Neural Network Model Recalling Spatial Maps. - Kunihiko Fukushima; Yoshio Yamaguchi; Masato Okada (ICANN, 1996)

Use of different thresholds in learning and recognition. - Kunihiko Fukushima; Masashi Tanigawa (Neurocomputing, 1996)

Neural Network Model of the Visual System: Binding Form and Motion. - Masayuki Kikuchi; Kunihiko Fukushima (Neural Networks, 1996)

Recognition and Segmentation of Components of a Face by a Multi-Resolution Neural Network. - Kunihiko Fukushima; Hideki Hashimoto (ICANN, 1997)

Neural network model of spatial memory. - Kunihiko Fukushima; Yoshio Yamaguchi (ICNN, 1997)

A Neural Network Model for Detecting the Motion of an Object Whose Vertexes are Masked. - H. Matsuda; Masayuki Kikuchi; Kunihiko Fukushima (ICONIP (1), 1997)

Neural Network Model of Spatial Memory: Associative Recall of Maps. - Kunihiko Fukushima; Yoshio Yamaguchi; Masato Okada (Neural Networks, 1997)

Self-Organization of Shift-Invariant Receptive Fields through Pre- and Post-Synaptic Competition. - Kunihiko Fukushima; Kazuya Yoshimoto (ICONIP, 1998)

Neural Network Model Completing Occluded Contour. - Masayuki Kikuchi; Koichi Anada; Kunihiko Fukushima (ICONIP, 1998)

Modular Structure of Neocognitron to Pattern Recognition. - José Hiroki Saito; Kunihiko Fukushima (ICONIP, 1998)

Handwritten Digit Recognition by a Neocognitron with Improved Bend-Extractors. - Kunihiko Fukushima; Eiji Kimura; Hayaru Shouno (NC, 1998)

Neocognitron with improved bend-extractors: Recognition of handwritten digits in the real world. - Kunihiko Fukushima; Eiji Kimura; Hayaru Shouno (Neural Comput. Appl., 1998)

A neural network model for associative recall of maps. - Yoshio Yamaguchi; Kunihiko Fukushima; Masato Okada (Syst. Comput. Jpn., 1998)

Guest Editorial Applications Of Artificial Neural Networks To Image Processing. - Rama Chellappa; Kunihiko Fukushima; Aggelos K. Katsaggelos; Sun-Yuan Kung; Yann LeCun; Nasser M. Nasrabadi; Tomaso A. Poggio (IEEE Trans. Image Process., 1998)

Self-Organization of Shift-Invariant Receptive Fields. - Kunihiko Fukushima; Kazuya Yoshimoto (IWANN (1), 1999)

Self-organization of shift-invariant receptive fields. - Kunihiko Fukushima (Neural Networks, 1999)

Stereo algorithm that extracts a depth cue from interocularly unpaired points. - Osamu Watanabe; Kunihiko Fukushima (Neural Networks, 1999)

Recognition and segmentation of facial components using selective attention mechanism. - Hideki Hashimoto; Kunihiko Fukushima (Syst. Comput. Jpn., 1999)

Active and Adaptive Vision: Neural Network Models. - Kunihiko Fukushima (Biologically Motivated Computer Vision, 2000)

Recognition of Occluded Patterns: A Neural Network Model. - Kunihiko Fukushima (IJCNN (3), 2000)

Pattern Recognition with Eye Movement: A Neural Network Model. - Masayuki Kikuchi; Kunihiko Fukushima (IJCNN (2), 2000)

Neocognitron of a New Version: Handwritten Digit Recognition. - Kunihiko Fukushima (ICANN, 2001)

Recognition of partly occluded patterns: a neural network model. - Kunihiko Fukushima (Biol. Cybern., 2001)

Invariant pattern recognition with eye movement: A neural network model. - Masayuki Kikuchi; Kunihiko Fukushima (Neurocomputing, 2001)

Restoring Partly Occluded Patterns: A Neural Network Model with Backward Paths. - Kunihiko Fukushima (ICANN, 2003)

Assignment of Figural Side to Contours Based on Symmetry, Parallelism, and Convexity. - Masayuki Kikuchi; Kunihiko Fukushima (KES, 2003)

Neocognitron for handwritten digit recognition. - Kunihiko Fukushima (Neurocomputing, 2003)

Neural network model restoring partly occluded patterns. - Kunihiko Fukushima (Int. J. Knowl. Based Intell. Eng. Syst., 2004)

Neocognitron capable of incremental learning. - Kunihiko Fukushima (Neural Networks, 2004)

Use of non-uniform spatial blur for image comparison: symmetry axis extraction. - Kunihiko Fukushima (Neural Networks, 2005)

Restoring partly occluded patterns: a neural network model. - Kunihiko Fukushima (Neural Networks, 2005)

Neural network model for extracting optic flow. - Kazuya Tohyama; Kunihiko Fukushima (Neural Networks, 2005)

Selective Motion Analysis Based on Dynamic Visual Saliency Map Model. - Inwon Lee; Sang-Woo Ban; Kunihiko Fukushima; Minho Lee 001 (ICAISC, 2006)

Symmetry axis extraction by a neural network. - Kunihiko Fukushima; Masayuki Kikuchi (Neurocomputing, 2006)

Recent Advances in the Neocognitron. - Kunihiko Fukushima (ICONIP (1), 2007)

Interpolating Vectors: Powerful Algorithm for Pattern Recognition. - Kunihiko Fukushima (ICONIP (2), 2007)

Robust Pattern Recognition by Interpolating Vectors. - Kunihiko Fukushima (IJCNN, 2007)

Interpolating vectors for robust pattern recognition. - Kunihiko Fukushima (Neural Networks, 2007)

Neocognitron. - Kunihiko Fukushima (Scholarpedia, 2007)

Neural Network Capable of Amodal Completion. - Kunihiko Fukushima (ICANN (2), 2008)

Extraction of visual motion and optic flow. - Kunihiko Fukushima (Neural Networks, 2008)

Increased Robustness against Background Noise: Pattern Recognition by a Neocognitron. - Kunihiko Fukushima (ICONIP (2), 2010)

Neural network model for completing occluded contours. - Kunihiko Fukushima (Neural Networks, 2010)

Neocognitron trained with winner-kill-loser rule. - Kunihiko Fukushima (Neural Networks, 2010)

Increasing robustness against background noise: Visual pattern recognition by a neocognitron. - Kunihiko Fukushima (Neural Networks, 2011)

Online learning of feature detectors from natural images with the probabilistic WKL rule. - Jasmin Léveillé; Isao Hayashi; Kunihiko Fukushima (SCIS&ISIS, 2012)

Artificial vision by multi-layered neural networks: Neocognitron and its advances. - Kunihiko Fukushima (Neural Networks, 2013)

Training multi-layered neural network neocognitron. - Kunihiko Fukushima (Neural Networks, 2013)

One-Shot Learning with Feedback for Multi-layered Convolutional Network. - Kunihiko Fukushima (ICANN, 2014)

Add-if-Silent Rule for Training Multi-layered Convolutional Network Neocognitron. - Kunihiko Fukushima (ICONIP (1), 2014)

Neocognitron trained by winner-kill-loser with triple threshold. - Kunihiko Fukushima; Isao Hayashi; Jasmin Léveillé (Neurocomputing, 2014)

A Probabilistic WKL Rule for Incremental Feature Learning and Pattern Recognition. - Jasmin Léveillé; Isao Hayashi; Kunihiko Fukushima (J. Adv. Comput. Intell. Intell. Informatics, 2014)

Deep convolutional network neocognitron: Improved Interpolating-Vector. - Kunihiko Fukushima; Hayaru Shouno (IJCNN, 2015)

Automatic Design of Neural Network Structures Using AiS. - Toshisada Mariyama; Kunihiko Fukushima; Wataru Matsumoto (ICONIP (2), 2016)

A Deep Neural Network Architecture Using Dimensionality Reduction with Sparse Matrices. - Wataru Matsumoto; Manabu Hagiwara; Petros T. Boufounos; Kunihiko Fukushima; Toshisada Mariyama; Xiongxin Zhao (ICONIP (4), 2016)

Introduction. - Diego Andina; Kunihiko Fukushima; Francisco Javier Ropero Peláez; Duc Truong Pham (Int. J. Neural Syst., 2018)

Margined winner-take-all: New learning rule for pattern recognition. - Kunihiko Fukushima (Neural Networks, 2018)

Efficient IntVec: High recognition rate with reduced computational cost. - Kunihiko Fukushima (Neural Networks, 2019)

Artificial Vision by Deep CNN Neocognitron. - Kunihiko Fukushima (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Circuit2Graph: Circuits With Graph Neural Networks. - Yusuke Yamakaji; Hayaru Shouno; Kunihiko Fukushima (IEEE Access, 2024)