Evidence of Turing patterns in Memristive Cellular Nonlinear Networks

Conference: CNNA 2016 - 15th International Workshop on Cellular Nanoscale Networks and their Applications
08/23/2016 - 08/25/2016 at Dresden, Deutschland

Proceedings: CNNA 2016

Pages: 2Language: englishTyp: PDF

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Buscarino, Arturo; Corradino, Claudia; Fortuna, Luigi; Frasca, Mattia (Dipartimento di Ingegneria Elettrica Elettronica e Informatica, University of Catania, Italy)
Chua, Leon O. (Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA 94720-1770, USA)

The formation of patterns in complex systems has been studied from different perspectives ranging from chemistry and biology to electronic systems. Aim of this paper is to study the generation of Turing patterns in Cellular Nonlinear Networks in which memristors are considered as the main nonlinear device. Analytical conditions to observe Turing patterns in Memristive CNNs will be given and numerical simulations showing the importance of the memristor parameters will be presented. Memristors characteristics, in fact, reveal to play a key role in the selection of the type and the features of the emerging patterns.