Analogic CNN computing: architectural, implementation, and algorithmic advances-a review

In this paper, first, an overview is given about the whole scenario of analogic cellular neural net (CNN) computing. Next, two areas of CNN computing technology are considered briefly: (i) the architectural advances, especially variable resolution and adaptation in space, time, and value and (ii) the computational infrastructure from high-level language and compiler to physical implementations. Three basic physical implementations are considered: analogic CMOS, emulated digital CMOS and optical. The computational infrastructure is the same for all implementations, except the physical interfaces.