Optimal CNN Templates for Linearly-Separable One-Dimensional Cellular Automata

In this tutorial, we present optimal Cellular Nonlinear Network (CNN) templates for implementing linearly-separable one-dimensional (1-D) Cellular Automata (CA). From the gallery of CNN templates presented in this paper, one can calculate any of the 256 1-D CA Rules studied by Wolfram using a CNN Universal Machine chip that is several orders of magnitude faster than conventional programming on a digital computer.

• Type: Journal
• Year: 2007
• Where: IJBC
• Authors: P. J. Chang, Bharathwaj Muthuswamy
• Keywords: 1-d Ca Rules, Cellular Nonlinear Network, CNN Universal Machine, IJBC 2007