In this paper we analyze the reliability of computation of binary-programmable cellular nonlinear networks for processing binary data. We describe the probability of a cell producing an error with given inputs and the error probability when processing random data. Furthermore, we show how the error probability could be defined in case the cell needs to work correctly with all possible input combinations. This error probability is found by performing Monte Carlo simulations.
['Mika Laiho', 'Ari Paasio', 'Victor M. Brea']
Effect of mismatch on the reliability of binary-programmable CNNs