Cellular neural networks - A tutorial on programmable nonlinear dynamics in space

L. O. Chua, T. Roska, T. Kozek

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Cellular Neural/Nonlinear Networks (CNN) are analog, nonlinear, mainly locally connected processor arrays placed on a multidimensional grid. In this tutorial the general framework and some application areas are described, mainly for mathematicians and physicists. The new invention, the CNN Universal Machine is exposed as well; its unique capability of implementing stored-programmable nonlinear spatial dynamics is highlighted. Finally, the first silicon VLSI implementations providing enormous computing power (in the order of 1012 operations per second on a single chip) are reviewed.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages53-73
Number of pages21
Volume888
ISBN (Print)3540588434, 9783540588436
DOIs
Publication statusPublished - 1995
EventAdvanced Course on Analysis of Dynamical and Cognitive Systems, 1993 - Stockholm, Sweden
Duration: Aug 9 1993Aug 14 1993

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume888
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

OtherAdvanced Course on Analysis of Dynamical and Cognitive Systems, 1993
CountrySweden
CityStockholm
Period8/9/938/14/93

Fingerprint

Nonlinear networks
Cellular neural networks
Cellular Networks
Nonlinear Dynamics
Neural Networks
Patents and inventions
Parallel processing systems
Silicon
Locally Connected
Chip
Grid
Analogue
Computing

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Chua, L. O., Roska, T., & Kozek, T. (1995). Cellular neural networks - A tutorial on programmable nonlinear dynamics in space. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 888, pp. 53-73). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 888). Springer Verlag. https://doi.org/10.1007/3-540-58843-4_14

Cellular neural networks - A tutorial on programmable nonlinear dynamics in space. / Chua, L. O.; Roska, T.; Kozek, T.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 888 Springer Verlag, 1995. p. 53-73 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 888).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Chua, LO, Roska, T & Kozek, T 1995, Cellular neural networks - A tutorial on programmable nonlinear dynamics in space. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 888, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 888, Springer Verlag, pp. 53-73, Advanced Course on Analysis of Dynamical and Cognitive Systems, 1993, Stockholm, Sweden, 8/9/93. https://doi.org/10.1007/3-540-58843-4_14
Chua LO, Roska T, Kozek T. Cellular neural networks - A tutorial on programmable nonlinear dynamics in space. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 888. Springer Verlag. 1995. p. 53-73. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/3-540-58843-4_14
Chua, L. O. ; Roska, T. ; Kozek, T. / Cellular neural networks - A tutorial on programmable nonlinear dynamics in space. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 888 Springer Verlag, 1995. pp. 53-73 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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