2. Books
2.1. Books (single author)
(Titles marked with * are written in Japanese.)
-
* K. Fukushima: Neural Networks and Information Processing,
Tokyo: Asakura Shoten (1989).
-
* K. Fukushima: Neural Networks and Self-Organization,
Tokyo: Kyoritsu Shuppan Co. (1979).
-
* K. Fukushima: Physiology and Bionics of the Visual System,
Tokyo: Inst. Electronics Commun. Engrs. Japan (present name: IEICE) (1976).
2.2. Co-authored Books
(Only English titles are listed.)
-
K. Fukushima:
"Add-if-silent rule for training multi-layered convolutional network neocognitron",
ICONIP 2014, Part I, LNCS 8834,
eds: C.K. Loo, K.S. Yap, K.W. Wong, A. Teoh, K. Huang,
pp. 78-85, Springer International Publishing Switzerland (2014).
-
K. Fukushima:
"One-shot learning with feedback for multi-layered convolutional network",
ICANN 2014, LNCS 8681,
eds: S. Wermter, C. Weber, W. Duch, T. Honkela, P. Koprinkova-Hristova, S. Magg, G. Palm, A.E.P. Villa,
pp. 291-298, Springer International Publishing Switzerland (2014).
https://doi.org/10.1007/978-3-319-11179-7_37
-
K. Fukushima:
"Modeling vision with the neocognitron",
Springer Handbook of Bio-/Neuro-Informatics, Chapter I.44,
ed: N.~Kasabov, pp.~765--782,
Springer-Verlag Berlin Heidelberg (2014).
-
K. Fukushima, I. Hayashi, J. Léveillé:
"Neocognitron trained by winner-kill-loser with triple threshold",
Neural Information Processing — ICONIP 2011, Part II,
eds: B.-L. Lu, L. Zhang, J. Kwok,
Lecture Notes in Computer Science, LNCS 7063,
pp. 628-637, Berlin Heidelberg: Springer-Verlag (2011).
-
K. Fukushima:
"Increased robustness against background noise: pattern recognition by a neocognitron",
Artificial Neural Networks: Models and Applications — ICONIP 2010, Part II,
eds: K.W. Wong, B.S.U. Mendis, A. Bouzerdoum,
Lecture Notes in Computer Science, LNCS 6444,
pp. 574-581, Berlin Heidelberg: Springer-Verlag (2010).
-
K. Fukushima:
"Neural network capable of amodal completion",
Artificial Neural Networks — ICANN 2008, Part II,
eds: V. Kurková, R. Neruda, and J. Koutník,
Lecture Notes in Computer Science, LNCS 5164,
pp. 376-385, Berlin Heidelberg: Springer-Verlag (2008).
-
K. Fukushima:
"Interpolating vectors: powerful algorithm for pattern recognition",
Neural Information Processing — ICONIP 2007, Part II ,
eds: M. Ishikawa, K. Doya, H. Miyamoto, T. Yamakawa,
Lecture Notes in Computer Science, LNCS 4985,
pp. 1-10, Berlin Heidelberg: Springer-Verlag (2008).
-
K. Fukushima:
"Recent advances in the neocognitron",
Neural Information Processing — ICONIP 2007, Part I ,
eds: M. Ishikawa, K. Doya, H. Miyamoto, T. Yamakawa,
Lecture Notes in Computer Science, LNCS 4984,
pp. 1041-1050, Berlin Heidelberg: Springer-Verlag (2008).
-
K. Fukushima:
"Extraction of visual motion and optic flow",
Brain-Inspired IT III,
eds. K. Natsume, A. Hanazawa, T. Miki,
International Congress Series, Volume 1301,
pp. 75-78, Elsevier (July 2007).
-
K. Fukushima, K. Tohyama:
"Neural network model for extracting optic flow",
Artificial Neural Networks: Biological Inspirations — ICANN 2005,
eds. W. Duch, J. Kacprzyk. E. Oja, S. Zadrozny,
Lecture Notes in Computer Science 3696,
pp. 455-460, Berlin - Heidelberg: Springer-Verlag (2005).
-
K. Tohyama, K. Fukushima:
"Neural network model for extracting optic flow",
Human and Artificial Intelligence Systems: From Control to Autonomy,
eds. K. Murase, L. C. Jain, K. Sekiyama, T. Asakura,
International Series on Neural and Artificial Intelligence, Volume 1,
Adelaide, Australia: Advanced Knowledge International Pty Ltd,
pp. 455-460 (2004).
-
K. Fukushima, M. Kikuchi:
"Blurring operations in neural networks for vision",
Human and Artificial Intelligence Systems: From Control to Autonomy,
eds. K. Murase, L. C. Jain, K. Sekiyama, T. Asakura,
International Series on Neural and Artificial Intelligence, Volume 1,
Adelaide, Australia: Advanced Knowledge International Pty Ltd,
pp. 20-25 (2004).
-
K. Fukushima:
"Neural network models for vision",
Machine Intelligence, Quo Vadis?,
eds. P. Sincák, J. Vascák, K. Hirota,
Advances in Fuzzy Systems — Applications and Theory, vol. 21,
pp. 341-355, Singapore: World Scientific (2004).
-
K. Fukushima:
"Neural network model restoring partly occluded patterns",
Knowledge-Based Intelligent Information and Engineering Systems, (7th International Conference, KES 2003 ), Part II,
eds: V. Palade, R. J. Howlett, L. Jain,
pp. 131-138, Berlin - Heidelberg: Springer-Verlag (2003).
-
M. Kikuchi, K. Fukushima:
"Assignment of figural side to contours based on symmetry, parallelism, and convexity",
Knowledge-Based Intelligent Information and Engineering Systems, (7th International Conference, KES 2003 ), Part II,
eds: V. Palade, R. J. Howlett, L. Jain,
pp. 123-130, Berlin - Heidelberg: Springer-Verlag (2003).
-
K. Fukushima:
"Restoring partly occluded patterns: a neural network model with backward paths",
Artificial Neural Networks and Neural Information Processing — ICANN/ICONIP 2003,
eds. O. Kaynak, E. Alpaydin, E. Oja, L. Xu,
pp. 393-400, Berlin - Heidelberg: Springer-Verlag (2003).
-
K. Fukushima:
"Neocognitron: a model for visual pattern recognition",
The Handbook of Brain Theory and Neural Networks, Second Edition,
ed.: M. A. Arbib, pp. 715-719,
Cambridge MA, London: Bradford Book, MIT Press (2003).
-
K. Fukushima:
"Recent advances in the neocognitron",
Knowledge-based Intelligent Information Engineering Systems & Allied Technologies — KES'2001,
eds. N. Baba, L. C. Jain, R. J. Howlett,
Part 1, pp. 3-9, Amsterdam: IOS Press (2001).
-
K. Fukushima:
"Neocognitron of a new version: handwritten digit recognition",
Artificial Neural Networks — ICANN 2001,
Lecture Notes in Computer Science 2130,
eds. G. Dorffner, H. Bischof, K. Hornik,
pp. 987-992, Berlin - Heidelberg: Springer-Verlag (2001).
-
M. Kikuchi, K. Fukushima:
"Invariant pattern recognition with eye movement: a neural network model",
Computational Neuroscience: Trends in Research 2001,
ed. James M. Bower, pp. 1359-1365, Elsevier Science (2001).
-
K. Fukushima:
"Neural network models for vision",
Quo Vadis Computational Intelligence?
— New Trends and Approaches in Computational Intelligence,
eds. P. Sincák, J. Vascák,
pp. 13-22, Heidelberg: Physica-Verlag (2000).
-
K. Fukushima:
"Computational intelligence and modeling neural networks" (foreword),
The State of the Art in Computational Intelligence,
(Proceedings of the European Symposium on Computational Intelligence,
Kosice, Slovak Republic, Aug. 30-Sept. 1, 2000),
eds. P. Sincák, J. Vascák, V. Kvasnicka, R. Mesiar,
pp. xi-xii, Heidelberg: Physica-Verlag (2000).
-
K. Fukushima:
"Active and adaptive vision: neural network models",
Biologically Motivated Computer Vision,
Lecture Notes in Computer Science 1811,
(First IEEE International Workshop, BMCV 2000, Seoul, Korea, May 2000),
eds.: S.-W. Lee, H. H. Bülthoff, T. Poggio,
pp. 623-634, Berlin, Heidelberg: Springer-Verlag (2000).
-
K. Fukushima, K. Yoshimoto:
"Self-organization of shift-invariant receptive fields",
Foundations and Tools for Neural Modeling,
(International Work-Conference on Artificial and Natural Networks, IWANN'99, Alicante, Spain, June 1999, Proceedings, Volume I),
eds.: J. Mira, J. V. Sánchez-Andrés,
pp. 806-815, Berlin, Heidelberg: Springer-Verlag (1999).
-
H. Shouno, K. Fukushima, M. Okada:
"Recognition of handwritten digits in the real world by a neocognitron",
Knowledge-Based Intelligent Techniques in Character Recognition,
eds.: L. C. Jain, B. Lazzerini, pp. 17-46, CRC Press (1999).
-
K. Fukushima:
"Active vision: neural network models",
Brain-Like Computing and Intelligent Information Systems,
eds.: N. Kasabov, S. Amari, pp. 3-24,
Singapore: Springer-Verlag (1998).
-
K. Fukushima:
"Active vision: neural network models",
Progress in Connectionist-Based Information Systems,
(Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems ),
eds.: N. Kasabov, R. Kozma, K. Ko, R. O'Shea, G. Coghill, T. Gedeon,
Vol. 1, pp. 43-46,
Singapore: Springer-Verlag (1998).
-
H. Matsuda, M. Kikuchi, K. Fukushima:
"A neural network model for detecting the motion of an object whose vertexes are masked",
Progress in Connectionist-Based Information Systems,
(Proceedings of the 1997 International Conference on
Neural Information Processing and Intelligent Information Systems ),
eds.: N. Kasabov, R. Kozma, K. Ko, R. O'Shea, G. Coghill, T. Gedeon,
Vol. 1, pp. 18-21,
Singapore: Springer-Verlag (1998).
-
K. Fukushima, H. Hashimoto:
"Recognition and segmentation of components of a face by a multi-resolution neural network",
Artificial Neural Networks — ICANN 97,
Lecture Notes in Computer Science 1327,
eds.: W. Gerstner, A. Germond, M. Hasler, J.-D. Nicoud, pp. 931-936,
Berlin, Heidelberg, New York: Springer-Verlag (1997).
-
K. Fukushima: "Neocognitron",
The Industrial Electronics Handbook,
ed.: J. D. Irwin, pp. 966-974,
Boca Raton, Florida: CRC Press (1997).
-
K. Fukushima, Y. Yamaguchi, M. Okada:
"Neural network model recalling spatial maps",
Artificial Neural Networks — ICANN 96,
Lecture Notes in Computer Science 1112,
eds.: C. von der Malsburg, W. von Seelen, J. C. Vorbrüggen, B. Sendhoff,
pp. 329-334, Berlin, Heidelberg: Springer-Verlag (1996).
-
K. Fukushima, M. Kikuchi:
"Binding of form and motion by selective attention: A neural network model",
Brain Processes, Theories and Models: An International Conference
in Honor of W. S. McCulloch 25 Years after His Death,
ed.: R. Moreno-Díaz, J. Mira-Mira, pp. 436-445,
Cambridge MA, London: MIT Press (1996).
-
K. Fukushima: "Neocognitron: a model for visual pattern recognition",
The Handbook of Brain Theory and Neural Networks,
ed.: M. A. Arbib, pp. 613-617,
Cambridge MA, London: Bradford Book, MIT Press (1995).
-
K. Fukushima: "Pattern recognition with neural networks",
Neural Modeling and Neural Networks, ed.: F. Ventriglia, pp. 283-308,
Oxford, New York, Seoul, Tokyo: Pergamon Press (1994).
-
K. Fukushima, M. Okada, K. Yamauchi, M. Ohno, K. Hiroshige:
"Neocognitron with non-uniform receptive field",
ICANN'93, eds.: S. Gielen, B. Kappen, pp. 994-997,
London: Springer-Verlag (1993).
-
K. Fukushima: "An improved neocognitron architecture and learning algorithm",
Computational Learning and Cognition, eds.: E. B. Baum, pp. 29-43,
Philadelphia: SIAM (Society for Industrial and Applied Mathematics) (1993).
-
K. Fukushima: "Visual pattern recognition with neural networks",
Parallel Image Analysis, Lecture Notes in Computer Science 654,
eds.: A. Nakayama, M. Nivat, A. Saoudi, P. S. P. Wang, K. Inoue,
pp. 16-31, Berlin, Heidelberg: Springer-Verlag (1992).
-
K. Fukushima: "Neural network models for visual pattern recognition",
Recent Advances in Mathematical Theory of Systems, Control, Networks and
Signal Processing II, eds.: H. Kimura, S. Kodama, pp. 475-479,
Tokyo: Mita Press (1992).
-
K. Fukushima, N. Wake:
"An improved learning algorithm for the neocognitron",
Artificial Neural Networks, 2, Volume 1,
eds.: I. Aleksander, J. Taylor, pp. 497-505, Amsterdam: North-Holland (1992).
-
K. Fukushima, T. Imagawa:
"Recognition and segmentation of characters in handwriting with selective attention",
Neural Networks — Theory and Applications,
eds.: R. Mammone, Y. Zeevi,
pp. 113-123, Boston, San Diego, New York, London, Sydney, Tokyo, Toronto: Academic Press (1991).
-
K. Fukushima, T. Imagawa:
"Recognition and segmentation of connected characters in cursive handwriting with selective attention",
Artificial Neural Networks, Volume 1,
eds.: T. Kohonen, K. Mäkisara, O. Simura, J. Kangas, pp. 105-110,
Amsterdam, New York, Oxford, Tokyo: Elsevier Science Publishers B. V. (North-Holland) (1991).
-
K. Fukushima, N. Wake:
"Alphanumeric character recognition by the neocognitron",
Advanced Neural Computers, ed.: R. Eckmiller,
pp. 263-270, Amsterdam, New York, Oxford, Tokyo: Elsevier Science
Publishers B. V. (North-Holland) (1990).
-
K. Fukushima: "Neural network models for visual pattern recognition",
Parallel Processing in Neural Systems and Computers,
eds.: R. Eckmiller, G. Hartmann and G. Hauske, pp. 351-356,
Amsterdam, New York, Oxford, Tokyo: Elsevier Science Publishers B. V. (North-Holland) (1990).
-
S. Miyake, K. Fukushima:
"Self-organizing neural network with the mechanism of feedback information processing",
Dynamic Interactions in Neural Networks:
Models and Data, Research Notes
in Neural Computing, Volume 1, eds.: M. A. Arbib, S. Amari, pp. 107-119,
New York: Springer-Verlag (1989).
-
K. Fukushima, S. Miyake, T. Ito:
"Neocognitron: A neural network model for visual pattern recognition",
Evolution, Learning and Cognition, ed.: Y. C. Lee, pp. 233-254,
Singapore, New Jersey, London, Hong Kong: World Scientific (1988).
-
K. Fukushima: "Neural networks and visual pattern recognition",
Systems with Learning and Memory Abilities,
eds.: J. Delacour, J. C. S. Levy,
pp. 365-386, Amsterdam, New York, Oxford, Tokyo: Elsevier Science Publishers B. V. (North-Holland) (1988).
-
K. Fukushima: "Selective attention in pattern recognition and associative recall",
Fuzzy Computing: Theory, Hardware, and Applications,
eds.: M. M. Gupta,
T. Yamakawa, pp. 71-88, Amsterdam, New York, Oxford, Tokyo: Elsevier Science Publishers B. V. (North-Holland) (1988).
-
K. Fukushima: "Neocognitron: A hierarchical network for visual pattern recognition",
Fuzzy Computing: Theory, Hardware, and Applications,
eds.: M. M. Gupta, T. Yamakawa, pp. 53-69,
Amsterdam, New York, Oxford, Tokyo: Elsevier Science Publishers B. V. (North-Holland) (1988).
-
K. Fukushima: "A hierarchical neural network model for selective attention",
Neural Computers, NATO ASI Series, Vol. F41,
eds.: R. Eckmiller, Ch. v. d. Malsburg, pp. 81-90, Berlin, Heidelberg: Springer-Verlag (1988).
-
K. Fukushima: "Self-organizing neural network models for visual pattern recognition",
Plasticity of the Central Nervous System,
Acta Neurochirurgica, Supplementum 41,
eds.: K. Sano, S. Ishii, pp. 51-67, Wien, New York: Springer-Verlag (1987).
-
S. Miyake, K. Fukushima:
"A neural network model for the mechanism of pattern information processing",
Neural Networks for Computing, AIP Conference Proceedings 151,
ed.: J. S. Denker, pp. 305-308, New York: American Institute of Physics (1986).
-
K. Fukushima, S. Miyake:
"Neocognitron: A self-organizing neural network model for a mechanism of visual pattern recognition",
Competition and Cooperation in Neural Nets, Lecture Notes in
Biomathematics 45, eds.: S. Amari, M. A. Arbib, pp. 267-285, Berlin, Heidelberg, New York: Springer-Verlag (1982).
|