Neural chaos model of multistable perception

Neural Processing Letters

Volumn 12, Issue 3, 2000, Pages 267-276

  Nagao, Natsuki ^a   Nishimura, Haruhiko ^a   Matsui, Nobuyuki ^b  

^a HYOGO UNIVERSITY   (Japan)

^b UNIVERSITY OF HYOGO   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

CHAOS THEORY; COMPUTER SIMULATION; PATTERN RECOGNITION; PSYCHOPHYSIOLOGY;

NEURON ASSEMBLY; PERCEPTUAL ALTERNATION;

NEURAL NETWORKS;

EID: 0034513261     PISSN: 13704621     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1026511124944     Document Type: Article

References (23)

1. Attneave, F. (1971) Multistability in Perception, Scientific American 225, 62-71.
2. Haken, H. (1991) Synergetic Computers and Cognition, Springer-Verlag.
3. Borsellino, A., Marco, A. D., Allazatta, A., Rinsei, S. and Bartolini, B. (1972) Reversal time distribution in the perception of visual ambiguous stimuli, Kybernetik 10, 139-144.
4. Borsellino, A., Carlini, F., Riani, M., Tuccio, M. T., Marco, A. D., Penengo, P. and Trabucco, A. (1982) Effects of visual angle on perspective reversal for ambiguous patterns, Perception 11, 263-273.
5. Ditzinger, T. and Haken, H. (1989) Oscillations in the perception of ambiguous patterns: A model based on synergetics, Biological Cybernetics 61, 279-287.
6. Ditzinger, T. and Haken, H. (1990) The impact of fluctuations on the recognition of ambiguous patterns, Biological Cybernetics 63, 453-456.
7. Chialvo, D. R. and Apkarian, V. (1993) Modulated noisy biological dynamics: Three examples, Journal of Statistical Physics 70, 375-391.
8. Kawamoto, A. H. and Anderson, J. A. (1985) A Neural Network Model of Multistable Perception, Acta Psychol. 59, 35-65.
9. Riani, M., Masulli, F. and Simonotto, E. (1990) Stochastic dynamics and input dimensionality in a two-layer neural network for modeling multistable perception, In: Proc. IJCNN., pp. 1019-1022.
10. Matsui, N. and Mori, T. (1995) The efficiency of the chaotic visual behavior in modeling the human perception-alternation by artificial neural network, In: Proc. IEEE ICNN'95 4, 1991-1994.
11. Rumelhart, D. E., McClelland, J. L. and the PDP Research Group (1986) Parallel Distributed Processing, vol. 1, MIT Press.
12. Sakai, K., Katayama, T., Wada, S. and Oiwa, K. (1995) Chaos causes perspective reversals for ambiguous patterns, In: Advances in Intelligent Computing IPMU'94, pp. 463-472.
13. Inoue, M. and Nishi, Y. (1996) Dynamical Behavior of Chaos Neural Network of an Associative Schema Model, Prog. Theoret. Phys. 95, 837-850.
14. Arbib, M. A. (1995) The Handbook of Brain Theory and Neural Networks, MIT Press.
15. McCulloch, W. S. and Pitts, W. (1943) A Logical Calculus of the Ideas Immanent in Nervous Activity, Bull. Math. Biophys. 5, 115-133.
16. Hopfield, J. J. (1982) Neural Networks and Physical Systems with Emergent Collective Computational Abilities, Proc. Natl Acad. Sci. USA 79, 2554-2558.
17. Aihara, K., Takabe, T. and Toyoda, M. (1990) Chaotic Neural Networks, Phys. Lett. A 144, 333-340.
18. Adachi, M. and Aihara, K. (1997) Associative dynamics in a chaotic neural network, Neural Networks 10(1), 83-98.
19. Nishimura, H., Katada, N. and Fujita, Y. (1997) Dynamic Learning and Retrieving Scheme Based on Chaotic Neuron Model, In: R. Nakamura et al. (eds.): Complexity and Diversity, Springer-Verlag, pp. 64-66.
20. Nishimura, H., Nagao, N. and Matsui, N. (1997) A Perception Model of Ambiguous Figures based on the Neural Chaos, In: N. Kasabov et al. (eds): Progress in Connectionist-Based Information Systems 1, Springer-Verlag, pp. 89-92.
21. Marcus, C. M. and Westervelt, R. M. (1989) Dynamics of iterated-map neural networks, Phys. Rev. A 40(1), 501-504.
22. Chen, L. and Aihara, K. (1987) Chaos and asymptotical stability in discrete-time neural networks, Physica D 104, 286-325.
23. Parker, T. S. and Chua, L. O. (1989) Practical Numerical Algorithms for Chaotic Systems, Springer-Verlag.