Abstract
The ability of the conventional, simple Cellular Neural Network (CNN) model to form spatial and spatio-temporal patterns has been recently highlighted [1, 2]. This paper continues this investigation, by studying new properties of pattern formation, and their application to modeling of biological pattern forming systems.
Original language | English (US) |
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Title of host publication | Proceedings of the IEEE International Workshop on Cellular Neural Networks and their Applications |
Publisher | IEEEPiscataway, NJ, United States |
Pages | 279-284 |
Number of pages | 6 |
State | Published - Dec 1 1996 |
Externally published | Yes |