The CNN Universal Machine part 1: The architecture

Proceedings - 2nd International Workshop on Cellular Neural Networks and their Applications, CNNA 1992

Volumn , Issue , 1992, Pages 1-10

  Chua, Leon O ^a   Roska, Tamás ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b INSTITUTE OF EXPERIMENTAL MEDICINE   (Hungary)

Author keywords

[No Author keywords available]

Indexed keywords

NETWORK ARCHITECTURE;

CNN UNIVERSAL MACHINES; EXHAUSTIVE LISTS; KEY FEATURE; MODES OF OPERATION;

CELLULAR NEURAL NETWORKS;

EID: 84982601864     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CNNA.1992.274335     Document Type: Conference Paper

References (79)

1. L. O. Chua and L. Yang. Cellular Neural Networks: Theory. IEEE Transactions on Circuits and Systems, 35: 1257-1272, October 1988.
2. L. O. Chua and L. Yang. Cellular Neural Networks: Applications. IEEE Transactions on Circuits and Systems, 35: 1273-1290, October 1988.
3. T. Roska and L. O. Chua. Cellular Neural Networks with nonlinear and delay-type template elements. In IEEE International Workshop on Cellular Neural Networks and Their Applications, Proceedings, pages 12-25, 1990. extended version in Int. 3. Circuit Theory and Applications, Vol. 20, 1992.
4. L. O. Chua, T. Roska, P. L. Venetianer, and A. Zarandy. Some novel capabilities of CNN: Game of life and examples of mulitpath algorithms. Report DNS-3-1992, Dual and Neural Computing Systems Laboratory, Hungarian Academy of Sciences, 1992.
5. J. A. Nossek, G. Seiler, T. Roska, and L. O. Chua. Cellular Neural Networks: Theory and circuit design. Report TUM-LNS-TR-90-7, Technische Universitat Munchen, December 1990. to appear in Int. J. Circuit Theory, Vol. 20, 1992.
6. H. Harrer and J. A. Nossek. Time discrete Cellular Neural Networks: Architecture, applications and realization. Report TUM-LNS-TR-90-12, Technische Universität München, November 1990.
7. J. Henseler and P. J. Braspennig. Memb-ain: a cellular neural network model based on a vibrating membrane, to appear in Int. J. Circuit Theory and Applications, Vol. 20, 1992.
8. A. Radvanyi, K. Halonen, and T. Roska. The CNNL simulator and some time-varying CNN templates. Report DNS-9-1991, Dual and Neural Computing Systems Laboratory, Hungarian Academy of Sciences, 1992.
9. L. O. Chua and B. E. Shi. Exploiting Cellular automata in the design of Cellular Neural Networks for binary image processing. Memorandum UCB/ERL M89/130, University of California at Berkeley Electronics Research Laboratory, November 1989.
10. L. O. Chua and T. Roska. Stability of a class of nonreciprocal cellular neural networks. IEEE Transactions on Circuits and Systems, 37: 1520-1527, December 1990.
11. V. Cimagalli. A neural network architecture for detecting moving objects II. In IEEE International Workshop on Cellular Neural Networks and Their Applications, Proceedings, pages 124-126, 1990.
12. N. Frühauf and E. Lüder. Realizations of CNNs by optical parallel processing with spatial light valves. In IEEE International Workshop on Cellular Neural Networks and Their Applications, Proceedings, pages 281-291, 1990.
13. K. Halonen, V. Porra, T. Roska, and L. Chua. VLSI implementation of a reconfigurable Cellular Neural Network containing local logic (CNNL). In IEEE International Workshop on Cellular Neural Networks and Their Applications, Proceedings, pages 206-215, 1990. extended version in Int. J. Circuit Theory and Applications, Vol. 20, 1992.
14. T. Matsumoto, L. O. Chua, and R. Furukawa. CNN cloning template: Hole-filler. IEEE Transactions on Circuits and Systems, 37: 635-638, May 1990.
15. T. Matsumoto, L. O. Chua, and H. Suzuki. CNN cloning template: Shadow detector. IEEE Transactions on Circuits and Systems, 37(8):1070 - 1073, August 1990.
16. T. Matsumoto, L. O. Chua, and H. Suzuki. CNN cloning template: Connected component detector. IEEE Transactions on Circuits and Systems, 37: 633-635, May 1990.
17. T. Matsumoto, T. Yokohama, H. Suzuki, and R. Furukawa. Several image processing examples by CNN. In IEEE International Workshop on Cellular Neural Networks and Their Applications, Proceedings, pages 100-111, 1990.
18. T. Matsumoto, L. O. Cliua, and T. Yokohama. Image thinning with a Cellular Neural Network. IEEE Transactions on Circuits and Systems, 37: 633-635, May 1990.
19. J. A. Nossek and G. Seiler. An equivalence between multi-layer perceptrons with step function type nonlinearity and a class of Cellular Neural Networks. Report TUM-LNS-TR-90-7, Technische Universitat Miinchen, December 1990.
20. T. Roska, T. Boros, P. Thiran, and L. O. Chua. Detecting simple motion using Cellular Neural Networks. In IEEE International Workshop on Cellular Neural Networks and Their Applications, Proceedings, pages 127-138, 1990.
21. T. Roska, G. Bartfai, P. Szolgay, T. Sziranyi, A. Radvanyi, T. Kozek, Zs. Ugray, and A. Zarandy. A digital multiprocessor hardware accelerator board for cellular neural networks: CNN-HAC. In IEEE International Workshop on Cellular Neural Networks and Their Applications. Proceedings, pages 160-168, 1990. extended version in Int. J. Circuit Theory and Applications, Vol. 20, 1992.
22. T. Roska and A. Radvanyi. CNND simulator, Cellular Neural Network embedded in a simple Dual computing structure, User's guide Version 3.0. Computer and Automation Institute, Hungarian Academy of Sciences, Budapest, 1990. Report No. 37/1990.
23. G. Seiler. Small object counting with Cellular Neural Networks. In IEEE International Workshop on Cellular Neural Networks and Their Applications, Proceedings, pages 114-123, 1990.
24. K. Slot. Determination of Cellular Neural Network parameters for feature detection of two dimensional images. In IEEE International Workshop on Cellular Neural Networks and Their Applications, Proceedings, pages 82-91, 1990.
25. L. Vandenberghe and J. Vandewalle. Finding multiple equilibrium points of Cellular Neural Networks without enumeration. In IEEE International Workshop on Cellular Neural Networks and Their Applications, Proceedings, pages 45-55, 1990. to appear in Int. J. of Circuit Theory and Applications, Vol. 20, 1992.
26. J. E. Varrientos, J. Ramirez-Angulo, and E. Sanchez-Sinencio. Cellular neural networks implementation: a current-mode approach. In IEEE International Workshop on Cellular Neural Networks and Their Applications, Proceedings, pages 216-225, 1990.
27. L. Yang, L. O. Chua, and K. R. Krieg. VLSI implementation of Cellular Neural Networks. In Proceedings of the IEEE International Symposium on Circuits and Systems, pages 2425-2427. IEEE, 1990.
28. G. G. Yang. Optical associative memory with invariance. In IEEE International Workshop on Cellular Neural Networks and Their Applications, Proceedings, pages 291-302, 1990.
29. F. Zou, S. Schwarz, and J. A. Nossek. Cellular neural network design using a learning algorithm. In IEEE International Workshop on Cellular Neural Networks and Their Applications, Proceedings, pages 73-81, 1990.
30. F. Zou and J. A. Nossek. Stability of Cellular Neural Networks with opposite sign templates. Report TUM-LNS-TR-15, Technische Universitat Miinchen, December 1990.
31. M. Balsi. Remarks on the stability and functionality of CNN's with one-dimensional templates. Report DNS-5-1991, Dual and Neural Computing Systems Laboratory, Hungarian Academy of Sciences, 1991. under publication in Int. J. Circuit Theory and Applications.
32. T. Boros, K. Lotz, A. Radvanyi, and T. Roska. Some useful, new, noninear and delay-type templates. Report DNS-1-1991, Dual and Neural Computing Systems Res. Lab., Comp. Aut. Inst., Hung. Acad. Sci. (MTA SzTAKI), Budapest, 1991.
33. L. O. Chua and B. E. Shi. Multiple layer Cellular Neural Networks: A tutorial. In E. F. Deprettere and A. van der Veen, editors, Algorithms and Parallel VLSI Architectures, volume A: Tutorials, pages 137-168. Elsevier Science Publishers B. V., New York, 1991.
34. L. O. Chua and P. Thiran. An analytic method for designing simple cellular neural networks. IEEE Transactions on Circuits and Systems, 38: 1332-1341, 1991.
35. L. O. Chua, L. Yang, and K. R. Krieg. Signal processing using cellular Neural Networks. Journal of VLSI Signal Processing, 3: 25-52, 1991.
36. P. P. Civalleri, M. Gilli, and L. Pandolfi. On stability of cellular neural networks with delay. Report, Politecnico di Torino, November 1991. under publication.
37. K. R. Crounse, T. Roska, and L. O. Chua. Image halftoning with Cellular Neural Networks. Memorandum UCB/ERL M91/106, University of California at Berkeley Electronics Research Laboratory, November 1991. submitted for publication.
38. J. M. Cruz and L. O. Chua. A CNN chip for connected component detection. IEEE Transactions on Circuits and Systems, 38(7):812-817, July 1991.
39. N. Friihauf, E. Liider, M. Gaiada, and G. Bader. An optical implementation of space invariant Cellular Neural Networks. In European Conference on Circuit Theory and Design, pages 42-51, 1991.
40. S. Fukuda, T. Boros, and T. Roska. A new efficient analysis of thermographic images by using cellular neural networks. Technical Report DNS-11-1991, Dual and Neural Computing Systems Laboratory, Hungarian Academy of Sciences, 1990. under publication.
41. C. Guzelis and L. O. Chua. Stability analysis of generalized cellular neural networks. Technical Report UCB/ERL M91/23, University of California at Berkeley Electronics Research Laboratory, March 1991. under publication.
42. H. Harrer and J. A. Nossek. An analog CMOS compatible convolution circuit for analog neural networks. Report TUM-LNS-TR-91-11, Technische Universitat Munchen, 1991. Extended version in IEEE Tr. Neural Networks 1992.
43. H. Harrer, J. A. Nossek, and R. Stelzl. An analog implementation of discrete-time cellular neural networks. Report TUM-LNS-TR-91-14, Technische Universität München, June 1991.
44. V. I. Krinsky, V. N. Biktashev, and I. R. Efimov. Autowave principles for parallel image processing. Physica D, 49: 247-253, 1991.
45. A. Radvanyi and T. Roska. The CNN workstation - CNND version 4.1. Technical Report DNS-12-1991, Dual and Neural Computing Systems Laboratory, Hungarian Academy of Sciences, 1991. submitted for publication.
46. T. Roska, A. Radvanyi, T. Kozek, and T. Boros. Dual CNN software library. Report DNS-7-1991, Dual and Neural Computing Systems Laboratory, Hungarian Academy of Sciences, 1991.
47. T. Roska. Cellular neural networks: a state-of-the-art review. In Proc. European Conference on Circuit Theory and Design (ECCTD-91), pages 1-9, 1991.
48. T. Roska and P. Sssolgay. A comparison of various cellular neural network (CNN) realizations - a review. In Proc. 2nd Int. Conf. on Microelectronics for Neural Networks, pages 423-421, 1991.
49. T. Roska. Dual computing structures containing analog cellular neural networks and digital decision units. In Proc. IFIP Workshop on Silicon Architectures for Neural Nets, pages 233-244, Nice, 1990, 1991. North Holland, Amsterdam.
50. S. Schwarz and W. Mathis. A design algorithm for Cellular Neural Networks. In Proceedings of the Snd International Conference on Microelectronics for Neural Networks, pages 53-59, 1991.
51. G. Seiler and M. Hasler. Convergence of reciprocal cellular neural networks. Report TUM-LNS- TR-91-12, Technische Universität München, June 1991.
52. B. E. Shi and L. O. Chua. A generalized Cellular Neural Network of a novel edge detection algorithm. Memorandum UCB/ERL M91/25, University of California at Berkeley Electronics Research Laboratory, April 1991.
53. P. Szolgay and T. Kozck. Optical detection of layout errors of printed circuit boards using learned CNN templates. Report DNS-8-1991, Dual and Neural Computing Systems Res. Lab., Comp. Aut. Inst., Hung. Acad. Sci. (MTA SzTAKI), Budapest, 1991.
54. T. Roska, C. VV. Wu, M. Balsi, and L. O. Chua. Stability and dynamics of delay-type and nonlinear Cellular Neural Networks. Memorandum UCB/ERL M91/110, University of California at Berkeley Electronics Research Laboratory, December 1991.
55. L. O. Chua and C. W. Wu. On the universe of stable cellular neural networks. ERL Memorandum UCB/ERL M91/31, University of California, Berkeley, 1991. to appear in Int. J. of Circuit Theory and Applications, Vol. 20, 1992.
56. F. Zou and J. A. Nossek. A chaotic attractor with Cellular Neural Networks. IEEE Transactions on Circuits and Systems, 38(7):811-812, July 1991.
57. J. M. Cruz and L. O. Chua. Design of high speed high density CNNs in CMOS technology. International Journal of Circuit Theory and Applications, 20(4), 1992.
58. Gy. Eross, A. Radvanyi, T. Boros, A. Kiss, P. Lantos, J. Bito, T. Roska, and J. Vass. Optical tracking system for automatic guided vehichle (AGV) using cellular neural networks. Report DNS-15-1992, Dual and Neural Computing Systems Laboratory, Hungarian Academy of Sciences, 1992. submitted for publication.
59. W. Heiligenberg and T. Roska. On biological sensory information processing principles relevant to dually computing CNNs. Report DNS-4-1992, Dual and Neural Computing Systems Laboratory, Hungarian Academy of Sciences, 1992.
60. T. Kozek, T. Roska, and L. O. Chua. Genetic algorithm for CNN template learning. Memorandum, University of California at Berkeley Electronics Research Laboratory, 1992. submitted for publication.
61. V. Perez-Muiiuzuri, V. Perez-Villar, and L. O. Chua. Autowaves for image processing on a twodimensional CNN array of Chua's circuits: flat and wrinkled labyrinths. Memorandum, University of California at Berkeley Electronics Research Laboratory, 1992. submitted for publication.
62. T. Roska, J. Hámori, E. Lábos, K. Lotz, L. Orzó, J. Takács, P. Venetianer, Z. Vidnyánszky, and Á. Zarándy. The use of CNN models in the subcortical visual pathway. Technical report, submitted for publication, 1992.
63. T. Roska and L. O. Chua. The dual CNN analog software. Technical Report DNS-2-1992, Dual and Neural Computing Systems Laboratory, Hungarian Academy of Sciences, 1992.
64. T. Roska. Programmable cellular neural networks - a state-of-the-art. In P. Dewilde and J. Vandewalle, editors. State-of-the-art in computer systems and software engineering. Kluwer Academic Publishers, 1992.
65. T. Roska, C. W. Wu, M. Balsi, and L. O. Chua. Stability and dynamics of delay-type general and Cellular Neural Networks. IEEE Transactions on Circuits and Systems, 39(6):487-490, June 1992.
66. T. Roska, T. Boros, A. Radvanyi, P. Thiran, and L. O. Chua. Detecting moving and standing objects using cellular neural networks. Int. J. Circuit Theory and Applications, July-August 1992.
67. T. Roska and L. O. Chua. CNN: cellular analog programmable multidimensional processing array with distibuted logic and memory, submitted for publication, June 1992.
68. B. E. Shi, T. Roska, and L. O. Chua. Design of linear cellular neural networks for motion sensitive filtering, submitted for publication, 1992.
69. P. Szolgay, I. Kispal, and T. Kozek. An experimental system for optical detection of layout errors using analog software on a dual CNN. Report DNS-14-1992, Dual and Neural Computing Systems Laboratory, Hungarian Academy of Sciences, 1992. under publication.
70. P. Szolgay, G. Vörös, and Gy. Eröss. On the application of cellular neural network (CNN) paradigm in mechanical vibrating systems. Report DNS-8-1992, Dual and Neural Computing Systems Laboratory, Hungarian Academy of Sciences, 1992. submitted for publication.
71. L. Vandenberghe, J. Vandewalle, St. Daenen, and M. Verduyn. Measuring the size of an object by a sequence of CNNs. Memorandum, Catholic University, Leuven, 1992.
72. Proceedings of the IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA-90), 1990. Budapest, IEEE Cat. No. 90TH0312-9.
73. Proceedings of the 2nd IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA-92), 1992. Munich.
74. European Conference on Circuit Theory and Design (ECCTD-91). Proceedings of the Special Session on Cellular Neural Networks, September 1991.
75. Int. J. Circuit Theory and Applications. Special issue on Cellular Neural Networks, July-August 1992.
76. IEEE Transactions on Circuits and Systems. Special issue on Cellular Neural Networks, March 1993.
77. T. Roska. Analog events and a dual computing structure using analog and digital circuits and operators. In Discrete Event Systems: Models and Applications, pages 225-238, 1988. eds. P. Varaiya and A. B'. Kurzhanski, Springer Verlag.
78. C. W. Wu, T. Roska, and L. O. Chua. Detecting features by CNNs in oscillating or chaotic mode. in preparation, 1992.
79. CNN workstation (version 5.1). In MTA SzTAKI papers, Users' documentation, 1992. Budapest.