Title :
Biological pattern formation with cellular neural networks
Author :
Setti, Gianluca ; Thiran, Patrick
Author_Institution :
Dept. of Electron., Bologna Univ., Italy
Abstract :
The ability of the conventional, simple cellular neural network (CNN) model to form spatial and spatio-temporal patterns has recently been highlighted. This paper continues this investigation, by studying new properties of pattern formation, and their application to modeling of biological pattern forming systems
Keywords :
biology computing; cellular neural nets; computer graphics; convolution; sensor fusion; biological pattern forming systems; cellular neural networks; convolution; mammalian coat pattern; reaction diffusion model; spatio-temporal patterns; Biological system modeling; Cells (biology); Cellular neural networks; Chemicals; Chemistry; Inhibitors; Lattices; Pattern formation; Physics; Stability;
Conference_Titel :
Cellular Neural Networks and their Applications, 1996. CNNA-96. Proceedings., 1996 Fourth IEEE International Workshop on
Conference_Location :
Seville
Print_ISBN :
0-7803-3261-X
DOI :
10.1109/CNNA.1996.566576
