Biological pattern formation with cellular neural networks

Gianluca Setti, Patrick Thiran

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

4 Scopus citations


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 languageEnglish (US)
Title of host publicationProceedings of the IEEE International Workshop on Cellular Neural Networks and their Applications
PublisherIEEEPiscataway, NJ, United States
Number of pages6
StatePublished - Dec 1 1996
Externally publishedYes

Bibliographical note

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