Developmental learning with behavioral mode tuning by carrier-frequency modulation in coherent neural networks

IEEE Transactions on Neural Networks

Volumn 17, Issue 6, 2006, Pages 1532-1543

  Hirose, Akira ^a   Asano, Yasufumi ^a,b   Hamano, Toshihiko ^a,c  

^a UNIVERSITY OF TOKYO   (Japan)

^b MITSUBISHI RESEARCH INSTITUTE   (Japan)

^c WASEDA UNIVERSITY   (Japan)

Author keywords

Behavioral modulation; Brain like computing; Complex valued neural network; Sensorimotor system

Indexed keywords

ARTIFICIAL INTELLIGENCE; FREQUENCIES; LEARNING SYSTEMS; MOTION CONTROL;

BEHAVIORAL MODULATION; BRAIN-LIKE COMPUTING; FIXED-MODE LEARNING; VARIABLE-MODE LEARNING;

NEURAL NETWORKS;

ADAPTATION; ARTICLE; ARTIFICIAL INTELLIGENCE; BICYCLE; BIOLOGICAL MODEL; COMPUTER SIMULATION; HUMAN; LEARNING; MAN MACHINE INTERACTION; MOTOR PERFORMANCE; MOVEMENT (PHYSIOLOGY); NERVE CELL NETWORK; PHYSIOLOGY; TASK PERFORMANCE;

ADAPTATION, PHYSIOLOGICAL; ARTIFICIAL INTELLIGENCE; BICYCLING; COMPUTER SIMULATION; HUMANS; LEARNING; MAN-MACHINE SYSTEMS; MODELS, NEUROLOGICAL; MOTOR SKILLS; MOVEMENT; NERVE NET; TASK PERFORMANCE AND ANALYSIS;

EID: 33846294473     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2006.880361     Document Type: Article

References (30)

1. M. H. Johnson, Developmental Cognitive Neuroscience. Cambridge, MA: Blackwell, 1996.
2. J. Elman, "Learning and development in neural networks: The importance of starting small," Cognition, vol. 48, pp. 71-99, 1993.
3. J. Elman, E. A. Bates, M. Johnson, A. Karmiloff-Smith, D. Parisi, and K. Plunkett, Rethinking Innateness: A Connectionist Perspective on Development. Cambridge, MA: MIT Press, 1996.
4. D. Rohde and D. Plaut, "Language acquisition in the absence of explicit negative evidence: How important is starting small?," Cognition, vol. 72, pp. 67-109, 1999.
5. S. Chalup, "Incremental learning in biological and machine learning systems," Int. J. Neural Syst., vol. 12, pp. 447-465, 2002.
6. Y. Zhang, J. Weng, and W.-S. Hwang, "Auditory learning: A developmental method," IEEE Trans. Neural Netw., vol. 16, no. 3, pp. 601-616, May 2005.
7. M. Asada, K. F. MacDorman, H. Ishiguro, and Y. Kuniyoshi, "Cognitive developmental robotics as a new paradigm for the design of humanoid robots," Robot. Autonom. Syst., vol. 37, pp. 185-193, 2001.
8. M. Asada, S. Noda, S. Tawaratumida, and K. Hosoda, "Purposive behavior acquisition for a real robot by vision-based reinforcement learning," Mach. Learn., vol. 23, pp. 279-303, 1996.
9. E. Uchibe, M. Asada, and K. Hosoda, "Environmental complexity control for vision-based learning mobile robot," in Proc. IEEE Int. Conf. Robot. Autom., 1998, pp. 1865-1870.
10. K. S. Narendra, J. Balakrishnan, and M. K. Ciliz, "Adaptation and learning using multiple models, switching and tuning," IEEE Control Syst. Mag., vol. 15, no. 3, pp. 37-51, Jun. 1995.
11. T. Omori, A. Mochizuki, and K. Mizutani, "Emergence of symbolic behavior from brain like memory with dynamic attention," Neural Netw., vol. 12, pp. 1157-1172, 1999.
12. T. Omori and A. Mochizuki, "PATON: A model of context dependent memory access with an attention mechanism," in Brain Processes, Theories and Models. Cambridge, MA: MIT Press, 1995, pp. 134-143.
13. D. M. Wolpert and M. Kawato, "Multiple paired forward and inverse models for motor control," Neural Netw., vol. 11, pp. 1317-1329, 1998.
14. D. M. Wolpert, C. M. Miall, and M. Kawato, "Internal models in the cerebellum," Trends Cogn. Sci., vol. 2, no. 9, pp. 79-87, 1998.
15. P. Hartono and S. Hashimoto, "Temperature switching in neural network ensemble," J. Signal Process., vol. 4, pp. 395-402, 2000.
16. A. Hirose and R. Eckmiller, "Behavior control of coherent-type neural networks by carrier-frequency modulation," IEEE Trans. Neural Netw., vol. 7, no. 4, pp. 1032-1034, Jul. 1996.
17. A. Hirose and R. Eckmiller, "Coherent optical neural networks that have optical-frequency-controlled behavior and generalization ability in the frequency domain," Appl. Opt., vol. 35, no. 5, pp. 836-843, 1996.
18. S. Kawata and A. Hirose, "Coherent lightwave associative memory system that possesses a carrier-frequency-controlled behavior," Opt. Eng., vol. 42, no. 9, pp. 2670-2675, 2003.
19. S. Kawata and A. Hirose, "A coherent optical neural network that learns desirable phase values in frequency domain by using plural optical-path differences," Opt. Lett., vol. 28, no. 24, pp. 2524-2526, 2003.
20. A. Hirose, Ed., Complex-Valued Neural Networks: Theories and Applications, ser. Series on Innovative Intelligent Systems. Singapore: World Scientific, 2003.
21. I. Aizenberg, "Book review on "Complex-valued neural networks: theories and applications", IEEE Trans. Neural Netw., vol. 17, no. 2, p. 534, Mar. 2006.
22. A. Hirose, Complex-Valued Neural Networks. New York: Springer-Verlag, 2006.
23. T. Hara and A. Hirose, "Plastic mine detecting radar system using complex-valued self-organizing map that deals with multiple-frequency interferometric images," Neural Netw., vol. 17, no. 8-9, pp. 1201-1210, 2004.
24. C.-C. Yang and N. K. Bose, "Landmine detection and classification with complex-valued hybrid neural network using scattering parameters dataset," IEEE Trans. Neural Netw., vol. 16, no. 3, pp. 743-753, May 2005.
25. A. Hirose, C. Tabata, and D. Ishimaru, "Coherent neural network architecture realizing a self-organizing activeness mechanism," in Proc. Int. Conf. Knowledge-Based Eng. Syst. (KES), Osaka, Sep. 6-8, 2001, pp. 576-580.
26. A. Hirose and D. Ishimaru, "Context-dependent behavior of coherent neural systems based on self-organizing mapping of carrier frequency values," in Proc. Int. Conf. Knowledge-Based Eng. Syst. (KES), Crema, Sept. 16-18, 2002, pp. 638-642.
27. S. Kawata and A. Hirose, "Frequency-multiplexed logic circuit based on a coherent optical neural network," Appl. Opt., vol. 44, no. 19, pp. 4053-4059, 2005.
28. M. Brown, R. Keynes, and A. Lumsden, The Developing Brain. London, U.K.: Oxford Univ. Press, 2001.
29. R. Llinas and U. Ribary, "Coherent 40-Hz oscillation characterizes dream state in humans," in Proc. Nat. Acad. Sci., 1993, vol. 90, pp. 2078-2081.
30. R. S. Sutton and A. G. Barto, Reinforcemant Learning: An Introduction. Cambridge, MA: MIT Press, 1998.