Abstract
As proposed by L.O.Chua and L.Yang in [1], if we discretize the time in the equations that describe a Cellular Neural Netwozk (CNN), we obtain a difference equation that recalls the dynamics of cellular automata. In this paper a hardware accelerator for CNN’s with the structure of a cellular automaton is proposed. Its simple architecture allows the implementation of large arrays with high efficiency.
Cite
CITATION STYLE
Torralba, A. (1995). Low-cost accelerator for the simulation of cellular neural networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 930, pp. 689–695). Springer Verlag. https://doi.org/10.1007/3-540-59497-3_239
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