A Low Power Trainable Neuromorphic Integrated Circuit That Is Tolerant to Device Mismatch.

Random device mismatch that arises as a result of scaling of the CMOS (complementary metal-oxide semiconductor) technology into the deep submicrometer regime degrades the accuracy of analog circuits. Methods to combat this increase the complexity of design. We have developed a novel neuromorphic system called a trainable analog block (TAB), which exploits device mismatch as a means for random proj...