2D Path Solutions from a Single Layer Excitable CNN Model

摘要: An easily implementable path solution algorithm for 2D spatial problems, based on excitable/programmable characteristics of a specific cellular nonlinear network (CNN) model is presented and numerically investigated. The single layer bioinspired which was also implemented in CMOS technology. It exhibits excitable with regionally bistable cells. related response realizes propagations trigger autowaves, where the mode can be globally preset reset. shown that, obstacle distributions space directly mapped onto coupled cell array network. Combining these two features, serve as main block computing processor. configurations are experimented circuit level parameters performance estimations presented. simplicity allows alternative technology device implementation, may become critical autonomous processor design micro or nanoscale robotic applications.