Biologically inspired image sensor/processor architecture with 2D cellular neural network for vision

A scalable image sensor array processor with frame memory buffer and cellular neural network (CNN) for nearest neighbor interaction has been developed in a 0.5 /spl mu/m HP CMOS technology. The CNN with analog programmable weights was constructed with compact mixed-signal VLSI circuit components in the current-mode techniques. The low voltage, low power operation is supported with the current mode scheme which scales well with the supply voltage. VLSI design of a variable gain neuron circuit can be incorporated into the prototype to realize the optimal solution capability using hardware annealing.