List of Published Papers   (Kunihiko Fukushima)

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1. Original Papers

1. K. Fukushima: "Artificial vision by deep CNN neocognitron",
   IEEE Transactions on Systems, Man, and Cybernetics: Systems, 51[1], pp. 76-90 (Jan. 2021).
   doi: 10.1109/TSMC.2020.3042785
2. K. Fukushima: "Efficient IntVec: High recognition rate with reduced computational cost",
   Neural Networks, 119, pp. 323-331 (Nov. 2019).
   doi: 10.1016/j.neunet.2019.08.024
3. K. Fukushima: "Recent advances in the deep CNN neocognitron",
   NOLTA, IEICE ( Nonlinear Theory and Its Applications), 10[4], pp. 1-18 (Oct. 2019).
   doi: 10.1587/nolta.10.304
   https://www.jstage.jst.go.jp/article/nolta/10/4/10_304/_article
4. K. Fukushima: "Margined winner-take-all: new learning rule for pattern recognition",
   Neural Networks, 97, pp. 152-161 (Jan. 2018).
   doi: 10.1016/j.neunet.2017.10.005
   Share Link: https://authors.elsevier.com/a/1W0RL3BBjKS9El
5. J. Léveillé, I. Hayashi, K. Fukushima: "A probabilistic WKL rule for incremental feature learning and pattern recognition",
   JACIII (Journal of Advanced Computational Intelligence and Intelligent Informatics), Special Issue on SCIS-ISIS2012, 18[4], pp. 672-681 (2014).
   doi: 10.20965/jaciii.2014.p0672
6. K. Fukushima, I. Hayashi, J. Léveillé: "Neocognitron trained by winner-kill-loser with triple threshold",
   Neurocomputing, 129, pp. 78-84 (April 2014).
   doi: 10.1016/j.neucom.2012.05.038
7. K. Fukushima: "Training multi-layered neural network neocognitron",
   Neural Networks, 40, pp. 18-31 (April 2013).
   doi: 10.1016/j.neunet.2013.01.001
8. K. Fukushima: "Artificial vision by multi-layered neural networks: neocognitron and its advances",
   Neural Networks, 37, pp. 103-119 (Jan. 2013).
   doi: 10.1016/j.neunet.2012.09.016
9. K. Fukushima: "Increasing robustness against background noise: visual pattern recognition by a neocognitron",
   Neural Networks, 24[7], pp. 767-778 (Sept. 2011).
   doi: 10.1016/j.neunet.2011.03.017
10. K. Fukushima: "Neocognitron trained with winner-kill-loser rule",
    Neural Networks, 23[7], pp. 926-938 (Sept. 2010).
    doi: 10.1016/j.neunet.2010.04.008
11. K. Fukushima: "Neural network model for completing occluded contours",
    Neural Networks, 23[4], pp. 465-582 (May 2010).
    doi: 10.1016/j.neunet.2009.10.002
12. K. Fukushima: "Extraction of visual motion and optic flow",
    Neural Networks, 21[5], pp. 774-785 (June 2008).
    doi: 10.1016/j.neunet.2007.12.049
13. * T. Yoshizuka, H. Shouno, H. Miyamoto, M. Okada, K. Fukushima: "Modeling visual ventral pathway based on the neocognitron",
    The Brain and Neural Networks, 14[4], pp. 266-272 (Dec. 2007).
14. K. Fukushima: "Interpolating vectors for robust pattern recognition",
    Neural Networks, 20[8], pp. 904-916 (Oct. 2007).
    doi: 10.1016/j.neunet.2007.06.003
15. K. Fukushima: "Visual motion analysis by a neural network",
    NIP-LR (Neural Information Processing — Letters and Reviews), 11[4-6], pp. 63-73 (April-June 2007).
16. K. Fukushima, M. Kikuchi: "Symmetry axis extraction by a neural network",
    Neurocomputing, 69[16/18], pp. 1827-1836 (Oct. 2006).
    doi: 10.1016/j.neucom.2005.11.010
17. * K. Tohyama, K. Fukushima: "Neural network model for extracting optic flow",
    Trans. IEICE D, J89-D[2], pp. 271-280 (2006.2).
18. K. Tohyama, K. Fukushima: "Neural network model for extracting optic flow",
    Neural Networks, 18[5/6], pp. 549-556 (2005).
    doi: 10.1016/j.neunet.2005.06.039
19. K. Fukushima: "Restoring partly occluded patterns: a neural network model",
    Neural Networks, 18[1], pp. 33-43 (2005).
    doi: 10.1016/j.neunet.2004.05.001
20. K. Fukushima: "Use of non-uniform spatial blur for image comparison: Symmetry axis extraction",
    Neural Networks, 18[1], pp. 23-32 (2005).
    doi: 10.1016/j.neunet.2004.08.001
21. K. Fukushima: "Neural network model restoring partly occluded patterns",
    International Journal of Knowledge-based and Intelligent Engineering Systems, 8[2], pp. 59-67 (2004).
22. K. Fukushima: "Neocognitron capable of incremental learning",
    Neural Networks, 17[1], pp. 37-46 (Jan. 2004).
    doi: 10.1016/S0893-6080(03)00078-9
23. K. Fukushima: "Neocognitron for handwritten digit recognition",
    Neurocomputing, 51, pp. 161-180 (April 2003).
    doi: 10.1016/S0925-2312(02)00614-8
24. M. Kikuchi, K. Fukushima: "Invariant pattern recognition with eye movement: a neural network model",
    Neurocomputing, 38-40, pp. 1359-1365 (June 2001).
    doi: 10.1016/S0925-2312(01)00496-9
25. K. Fukushima: "Recognition of partly occluded patterns: a neural network model",
    Biological Cybernetics, 84[4], pp. 251-259 (2001).
26. K. Toya, K. Fukushima, Y. Kabashima, M. Okada: "Bistability of mixed states in a neural network storing hierarchical patterns",
    Journal of Physics A: Mathematical and General, 33[14], pp. 2725-2737 (April 2000).
27. * M. Kikuchi, K. Anada, K. Fukushima: ``Neural network model for amodal completion and depth restoration'',
    Trans. IEICE D-II, J82-D-II[9], pp. 1500-1509 (Sept. 1999).
28. K. Fukushima: "Self-organization of shift-invariant receptive fields",
    Neural Networks, 12[6], pp. 791-801 (July 1999).
29. O. Watanabe, K. Fukushima: "Stereo algorithm that extracts a depth cue from interocularly unpaired points",
    Neural Networks, 12[4-5], pp. 569-578 (June 1999).
30. K. Fukushima, E. Kimura, H. Shouno: "Neocognitron with improved bend-extractors: recognition of handwritten digits in the real world",
    Neural Computing & Applications, 7, pp. 260-272 (1998).
31. * H. Matsuda, M. Kikuchi, K. Fukushima: "Neural network model for detecting the motion of an object whose vertexes are masked",
    Trans. IEICE D-II, J81-D-II[10], pp. 2330-2340 (Oct. 1998).
32. * Y. Yamaguchi, K. Fukushima, M. Okada: "Neural network model for associative recall of maps",
    Trans. IEICE D-II, J81-D-II[2], pp. 386-394 (Feb. 1998).
33. K. Fukushima, Y. Yamaguchi, M. Okada: "Neural network model of the spatial memory: Associative recall of maps",
    Neural Networks, 10[6], pp. 971-979 (Aug. 1997).
34. * H. Hashimoto, K. Fukushima: "Recognition and segmentation of components of a face with selective attention",
    Trans. IEICE D-II, J80-D-II[8], pp. 2194-2202 (Aug. 1997).
35. M. Kikuchi, K. Fukushima: "Neural network model of the visual system: Binding form and motion",
    Neural Networks, 9[8], pp. 1417-1427 (Nov. 1996).
    doi: 10.1016/S0893-6080(96)00007-X
36. K. Fukushima, M. Tanigawa: "Use of different thresholds in learning and recognition",
    Neurocomputing, 11[1], pp. 1-17 (May 1996).
    doi: 10.1016/0925-2312(94)00065-4
37. * T. Kimoto, M. Okada, K. Fukushima: "Velocity perception of a moving contour",
    Trans. IEICE D-II, J78-D-II[9], pp. 1428-1431 (Sept. 1995).
38. * O. Watanabe, K. Fukushima: "A neural network model of near and far cells",
    Trans. IEICE D-II, J78-D-II[9], pp. 1404-1413 (Sept. 1995).
39. * T. Aonishi, K. Fukushima: "Eye movement model based on non-uniformity of the retina and cortex",
    Trans. IEICE D-II, J78-D-II[9], pp. 1363-1371 (Sept. 1995).
40. K. Yamauchi, M. Fukuda, K. Fukushima: "Speed invariant speech recognition using variable velocity delay lines",
    Neural Networks, 8[2], pp. 167-177 (1995).
41. * H. Shouno, K. Fukushima: "Connected character recognition in cursive handwriting using selective attention model with bend processing",
    Trans. IEICE D-II, J77-D-II[5], pp. 940-950 (May 1994).
42. K. Fukushima: "Letters to the editor: Recognition and segmentation of connected characters with selective attention — Response to letter by S. Grossberg",
    Neural Networks, 7[1], pp. 206-207 (1994).
43. K. Fukushima, M. Okada, K. Hiroshige: "Neocognitron with dual C-cell layers",
    Neural Networks, 7[1], pp. 41-47 (1994).
44. * M. Ohno, M. Okada, K. Fukushima: "Neocognitron learned by backpropagation",
    Trans. IEICE D-II, J77-D-II[2], pp. 413-421 (Feb. 1994).
45. * K. Yamauchi, K. Fukushima: "New learning method for temporal-pattern recognition in the neocognitron",
    Trans. IEICE D-II, J76-D-II[10], pp. 2223-2232 (Oct. 1993).
46. * M. Tanigawa, K. Fukushima: "How to adjust the thresholds of feature-extracting cells in the neocognitron",
    Trans. IEICE D-II, J76-D-II[10], pp. 2215-2222 (Oct. 1993).
47. K. Fukushima, T. Imagawa: "Recognition and segmentation of connected characters with selective attention",
    Neural Networks, 6[1], pp. 33-41 (1993).
    doi: 10.1016/S0893-6080(05)80071-1
48. * N. Wake, K. Fukushima: "An improved learning method for the neocognitron",
    Trans. IEICE D-II, J75-D-II[11], pp. 1892-1899 (Nov. 1992).
49. * T. Imagawa, K. Fukushima: "Character recognition in cursive handwriting with the mechanism of selective attention",
    Trans. IEICE D-II, J74-D-II[12], pp. 1768-1775 (Dec. 1991).
50. K. Fukushima, N. Wake: "Handwritten alphanumeric character recognition by the neocognitron",
    IEEE Transactions on Neural Networks, 2[3], pp. 355-365 (May 1991).
51. K. Fukushima: "Neural networks for visual pattern recognition",
    IEICE Transactions E74[1], pp. 179-190 (Jan. 1991).
52. K. Fukushima: "Unsupervised learning in the neocognitron (The author responds)",
    Neural Network Review, 4[2], pp. 94-95 (1990).
53. T. Ito, K. Fukushima, S. Miyake: "Realization of a neural network model neocognitron on a hypercube parallel computer",
    J. of High Speed Computing, 2[1], pp. 1-16 (March 1990).
54. * T. Ito, K. Fukushima, S. Miyake: "Examination of implementing a neural network on a parallel computer — NEOCOGNITRON on NCUBE —",
    IEICE Transactions D-I, J73-D-I[1], pp. 1-8 (Jan. 1990).
55. K. Fukushima: "Analysis of the process of visual pattern recognition by the neocognitron",
    Neural Networks, 2[6], pp. 413-420 (1989).
56. K. Fukushima: "Neocognitron: A hierarchical neural network capable of visual pattern recognition",
    Neural Networks, 1[2], pp. 119-130 (1988).
57. K. Fukushima: "A neural network for visual pattern recognition",
    IEEE Computer, 21[3], pp. 65-75 (March 1988).
58. K. Fukushima: "Neural network model for selective attention in visual pattern recognition and associative recall",
    Applied Optics, 26[23], pp. 4985-4992 (Dec. 1987).
    doi: 10.1364/AO.26.004985
59. * T. Ito, K. Fukushima: "A neural network model extracting features from speech signals",
    NHK Technical Journal, 39[2], pp. 59-75 (Sept. 1987).
60. * K. Fukushima, S. Miyake, T. Ito, T. Kouno: "Handwritten numeral recognition by the algorithm of the neocognitron — An experimental system using a microcomputer —",
    Trans. Information Processing Soc. Japan, 28[6], pp. 627-635 (June 1987).
61. * T. Ito, K. Fukushima: "A neural network model extracting features from speech signals",
    Trans. IEICE D (The Transactions of the Institute of Electronics, Information and Communication Engineers of Japan, Section D ), J70-D[2], pp. 451-462 (Feb. 1987).
62. K. Fukushima: "A neural network model for selective attention in visual pattern recognition",
    Biological Cybernetics, 55[1], pp. 5-15 (Oct. 1986).
63. * K. Fukushima: "A neural network model for the mechanism of selective attention in visual pattern recognition",
    Trans. IECE, J69-D[6], pp. 993-1003 (June 1986).
64. S. Miyake, K. Fukushima: "A neural network model for the mechanism of feature extraction: a self-organizing network with feedback inhibition",
    Biological Cybernetics, 50[5], pp. 377-384 (Aug. 1984).
65. * S. Miyake, K. Fukushima: "Picture I/O equipment for computer simulation of neural network models",
    Trans. Information Processing Soc. Japan, 25[3], pp. 443-450 (May 1984).
66. K. Fukushima: "A hierarchical neural network model for associative memory",
    Biological Cybernetics, 50[2], pp. 105-113 (April 1984).
67. * K. Fukushima: "A hierarchical neural network model for associative memory",
    Trans. IECE, J66-A[11], pp. 1130-1137 (Nov. 1983).
68. K. Fukushima, S. Miyake, T. Ito: "Neocognitron: a neural network model for a mechanism of visual pattern recognition",
    IEEE Transactions on Systems, Man, and Cybernetics, SMC-13[5], pp. 826-834 (Sep./Oct. 1983).
69. * S. Miyake, K. Fukushima: "A neural network model for the mechanism of feature extraction — A self-organizing network with feedback inhibition —",
    Trans. IECE, J66-A[6], pp. 500-507 (June 1983).
70. * K. Fukushima, S. Miyake, T. Ito: "Numeral character recognition by the algorithm of the neocognitron",
    Trans. IECE, J66-D[2], pp. 206-213 (Feb. 1983).
71. K. Fukushima, S. Miyake: "Neocognitron: A new algorithm for pattern recognition tolerant of deformations and shifts in position",
    Pattern Recognition, 15[6], pp. 455-469 (1982).
72. K. Fukushima: "Cognitron: A self-organizing multilayered neural network model",
    NHK Technical Monograph, No. 30 (Jan. 1981).
73. K. Fukushima: "Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position",
    Biological Cybernetics, 36[4], pp. 193-202 (April 1980).
    doi: 10.1007/BF00344251
74. * K. Fukushima: "Neural network model for a mechanism of pattern recognition unaffected by shift in position — Neocognitron —",
    Trans. IECE, J62-A[10], pp. 658-665 (Oct. 1979).
75. * K. Fukushima: "Improvement in pattern-selectivity of a cognitron",
    Trans. IECE, J62-A[10], pp. 650-657 (Oct. 1979).
76. Y. Hirai, K. Fukushima: "An inference upon the neural network finding binocular correspondence",
    Biological Cybernetics, 31[4], pp. 209-217 (Dec. 1978).
77. K. Fukushima, S. Miyake: "A self-organizing neural network with a function of associative memory: feedback-type cognitron",
    Biological Cybernetics, 28[4], pp. 201-208 (March 1978).
78. * K. Fukushima, S. Miyake: "Self-organizing neural network with a function of associative memory — Feedback type cognitron —",
    Trans. IECE, J60-D[2], pp. 143-150 (Feb. 1977).
79. * Y. Hirai, K. Fukushima: "An inference upon the neural network finding binocular correspondence",
    Trans. IECE, J59-D[3], pp. 133-140 (Mar. 1976).
80. K. Fukushima: "Cognitron: A self-organizing multilayered neural network",
    Biological Cybernetics, 20[3/4], pp. 121-136 (Nov. 1975).
    doi: 10.1007/BF00342633
81. * K. Fukushima: "Self-organizing multilayered neural network",
    Trans. IECE, 58-D[9], pp. 530-537 (Sept. 1975).
82. Y. Hirai, K. Fukushima: "A model of neural network extracting binocular parallax",
    Biological Cybernetics, 18[1], pp. 19-29 (March 1975).
83. * Y. Hirai, K. Fukushima: "A neural network model for the binocular parallax extraction",
    Trans. IECE, 56-D[8], pp. 465-472 (Aug. 1973).
84. * K. Fukushima: "Associative memory for spatio-temporal patterns",
    Trans. IECE, 56-D[7], pp. 401-407 (July 1973).
85. K. Fukushima: "A model of associative memory in the brain",
    Kybernetik, 12[2], pp. 58-63 (Feb. 1973).
86. * M. Yasuda, K. Fukushima, S. Nagata, Y. Yamaguchi: "An electronic model of the visual system",
    NHK Technical Journal, 23[5], pp. 368-377 (Sept. 1971).
87. * K. Fukushima: "A feature extractor for a pattern recognizer — A design suggested by the visual system —",
    NHK Technical Journal, 23[5], pp. 351-367 (Sept. 1971).
88. * M. Yasuda, Y. Yamaguchi, K. Fukushima, S. Nagata: "An electronic model of visual receptive fields",
    Trans. IECE, 54-C[6], pp. 514-521 (June 1971).
89. Y. Yamaguchi, K. Fukushima, M. Yasuda, S. Nagata: "Electronic retina",
    NHK Laboratories Note, No. 141 (March 1971).
90. K. Fukushima, Y. Yamaguchi, M. Yasuda, S. Nagata: "An electronic model of the retina",
    Proceedings of the IEEE, 58[12], pp. 1950-1951 (Dec. 1970).
91. K. Fukushima: "A feature extractor for curvilinear patterns: a design suggested by the mammalian visual system",
    Kybernetik, 7[4], pp. 153-160 (Sept. 1970).
92. K. Fukushima: "A feature extractor for curvilinear patterns",
    Proceedings of the IEEE, 58[7], pp. 1145-1146 (July 1970).
93. K. Fukushima: "Visual feature extraction by a multilayered network of analog threshold elements",
    IEEE Transactions on Systems Science and Cybernetics, SSC-5[4], pp. 322-333 (Oct. 1969).
94. * K. Fukushima: "Feature extraction by multi-layered network of analog threshold elements",
    Trans. IECE (The Transactions of the Institute of Electronics and Communication Engineers of Japan ), 51-C[7], pp. 319-326 (July 1968).
95. K. Fukushima: "Television bandwidth compression by multi-mode interpolation",
    NHK Laboratories Note, No. 101 (Oct. 1966).
96. * K. Fukushima: "Computer simulation chain for study of picture processing",
    Journal Institute of Television Engineers of Japan, 19[10], pp. 697-705 (Oct. 1965).
97. * K. Fukushima, H. Ando: "Television band compression by multi-mode interpolation",
    J. IECE, 47[1], pp. 55-64 (Jan. 1964).
98. * K. Fukushima, H. Ando: "Television band compression by multi-mode interpolation — Experiment by computer simulation —",
    NHK Technical Journal, 15[12], pp. 813-829 (Dec. 1963).
99. * K. Fukushima: "Prediction theorem in multi-dimensional space",
    J. IECE, 46[2], pp. 169-176 (Feb. 1963).
100. * K. Fukushima: "Redundancy of two-dimensional pattern-theoretical limit of television bandwidth compression",
     J. IECE (The Journal of the Institute of Electrical Communication Engineers of Japan ), 44[10], pp. 1473-1480 (Oct. 1961).

Top | Original Papers | Books | Technical Surveys | International Conferences |