Analog CMOS current mode primitives for feed-forward neural networks

The CMOS circuit implementation of the feed forward neural primitives of a generic Multi Layer Perceptron network is presented. Basically our approach is based on current mode computation and is aimed at a low power/low voltage circuit implementation; moreover, it is easily scalable to implement network of any size. Experimental results are reported.