Cellular Neural Networks
Cellular Neural Networks (CNN) a revolutionary concept and an experimentally proven computing paradigm for analog computers. A standard CNN architecture consists of an m*n rectangular array of cells c(i,j) with Cartesian co-ordinates. Considering inputs and outputs of a cell as binary arguments. It can realize Boolean functions. using this technology, analog computers mimic anatomy & physiology of many sensory& processing organs with stored programmability. this has been called “sensor revolution” with cheap sensors &mems arrays in desired forms of artificial eyes, ears, nose etc. Such a computer is capable of computing 3 trillion equivalent digital operations/sec, a performance that can be only matched by super computers. CNN chips are mainly used in processing brain-like tasks due to its unique architecture which are non-numeric &spatio temporal in nature and will require no more than accuracy of common neurons.
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