A mixed-mode polynomial-type CNN for analysing brain electrical activity in epilepsy

摘要

In this paper, a mixed-mode polynomial-type cellular neural network (CNN) for analysis brain elec- trical activity in epilepsy is presented. The principles and design characteristics of this application are overviewed. The main difference of the requirements of this application compared to conventional CNN realization is that in addition to linear, cells are also coupled with polynomial-type couplings. A mixed- mode CNN is shown to e suitable for the realization of a polynomial-type CNN in the brain electrical activity analysis application.