A topological and temporal correlator network for spatiotemporal pattern learning, recognition, and recall

IEEE Transactions on Neural Networks

Volumn 10, Issue 2, 1999, Pages 356-371

  Srinivasa, Narayan ^a,b   Ahuja, Narendra ^a,c  

^a IEEE   (United States)

^b Hughes Aircraft Co   (United States)

^c University of Illinois at Urbana Champaign   (United States)

Author keywords

Neural networks; Pattern recall; Pattern recognition; Self organizing maps; Spatiotemporal patterns

Indexed keywords

COMPUTER ARCHITECTURE; COMPUTER SIMULATION; COMPUTER SYSTEMS PROGRAMMING; FUZZY SETS; LEARNING SYSTEMS; ONLINE SYSTEMS; PATTERN RECOGNITION; RESPONSE TIME (COMPUTER SYSTEMS);

SELF-ORGANIZING MAPS (SOM);

NEURAL NETWORKS;

EID: 0033100649     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/72.750565     Document Type: Article

References (28)

1. L. B. Almeida, "A learning rule for asynchronous perceptrons with feedback in a combinatorial environment," in Proc. Int. Conf. Neural Networks, 1987, pp. 609-618.
2. U. Bodenhausen, "Learning internal representations of pattern sequences in a neural network with adaptive time-delays," in Proc. Int. Conf. Neural Networks, 1990, pp. 113-118.
3. G. A. Carpenter and S. Grossberg, "A massively parallel architecture for a self-organizing neural pattern recognition machine," Comput. Vision, Graphics, Image Processing, vol. 37, pp. 54-115, 1987.
4. G. A. Carpenter, S. Grossberg, and D. B. Rosen, "Fuzzy ART: Fast stable learning and categorization of analog patterns by an adaptive resonance system," Neural Networks, vol. 4, pp. 759-771, 1991.
5. T. Darrell and A. Pentland, "Space-time gestures," in Proc. IEEE Conf. Comput. Vision Pattern Recognition, 1993, pp. 335-340.
6. J. Daugmann, "Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortical filters," J. Opt. Soc. Amer., vol. 2, p. 1160, 1985.
7. J. L. Elman, "Finding structure in time," Cognitive Sci., vol. 14, pp. 179-211, 1990.
8. C. L. Giles, C. B. Miller, D. Chen, G. Z. Sun, and Y. C. Lee, "Learning and extracting finite-state automata with second order recurrent neural networks," Neural Comput., vol. 4, pp. 395-405, 1992.
9. S. Grossberg, "How does a brain build a cognitive code?," Psych. Rev., vol. 87, pp. 1-51, 1980.
10. S. Grossberg, Studies of Mind and Brain: Neural Principles of Learning, Perception, Development, Cognition, and Motor Control. Boston, MA: Reidel, 1982.
11. R. Hecht-Nielsen, "Nearest matched filter classification of spatiotemporal patterns," Appl. Opt., vol. 26, pp. 1892-1899, 1987.
12. J. Hertz, A. Krogh, and R. G. Palmer, Introduction to the Theory of Neural Computation. Reading, MA: Addison-Wesley, 1991.
13. J. J. Hopfield, "Neural networks and physical systems with emergent collective computational abilities," in Proc. Nat. Academy Sci., USA, 1982, pp. 2554-2558.
14. M. I. Jordan, "Attractor dynamics and parallelism in a conectionist sequential machine," in Proc. 8th Annu. Conf. Cognitive Sci. Soc., 1986, pp. 531-546.
15. T. Kohonen, "Self-organized formation of topologically correct feature maps," Biol. Cybern., vol. 43, pp. 59-69, 1982.
16. J. Moody and C. Darken, "Fast learning in networks of locally-tuned processing units," Neural Comput., vol. 1, pp. 281-294, 1989.
17. B. A. Pearlmutter, "Learning state space trajectories in recurrent neural networks," Neural Comput., vol. 1, pp. 263-269, 1989.
18. J. B. Pollack, "Recursive distributed representation," Artificial Intell., vol. 46, pp. 77-105, 1990.
19. L. Rabiner and B. Juang, Fundamentals of Speech Recognition. Englewood Cliffs, NJ: Prentice-Hall, 1993.
20. H. Ritter, T. Martinetz, and K. Schulten, Neural Computation and Self-Organizing Maps. Reading, MA: Addison-Wesley, 1991.
21. R. Rohwer and B. Forrest, "Training time-dependence in neural networks," in Proc. Int. Conf. Neural Networks, 1987, pp. 701-708.
22. D. E. Rumelhart, G. E. Hinton, and R. J. Williams, "Learning internal representations by error propagation," in Parallel Distributed Processing. Cambridge, MA: MIT Press, vol. 1, 1986.
23. A. Waibel, "Modular construction of time-delay neural networks for speech recognition," Neural Comput., vol. 1, pp. 39-46, 1989.
24. R. L. Watrous, "Speech recognition using connectionist networks," Ph.D. dissertation, Univ. Pennsylvania, Philadelphia, PA, 1988.
25. P. J. Werbos, "Generalization of backpropagation with application to a recurrent gas market model," Neural Networks, vol. 1, pp. 338-356, 1988.
26. R. J. Wiiliams and D. Zipser, "A learning algorithm for continually running fully recurrent neural networks," Neural Comput., vol. 1, pp. 270-280, 1989.
27. P. M. Woodward, Probability and Information Theory with Applications to Radar. London, U.K.: Pergamon, 1953.
28. L. Zadeh, "Fuzzy sets," Inform. Contr., vol. 8, pp. 338-353, 1965.