Programmable Logic Circuits based Neuromorphic Organic Electrochemical Diode Arrays

Abstract

As technology of both computer and data processing evolves, data-intensive applications bring about physical limitations of devices. Therefore, a low-power consumption, energy-efficient next-generation electronic device with new architecture has been required to satisfy this computing system. Herein, we introduced the first organic neuromorphic devices-based reconfigurable/programmable circuits. We tried to apply learning-capability of a single device to implement multiple logic functions from the same hardware-based circuit. The conductivity level of each devices can be modulated according to the polarity of the VDS, so diodes in different locations are activated depending on how the external input voltage (Vlogic) is used, resulting in differing which class of operation appears selectively from unknown to either AND or OR gate on the same hardware-based circuitry. Also, a more complex operation was demonstrated by connecting learnable AND and XOR circuit, creating half-adder. Our results opened the new way for realization of digital circuitry through on-chip learning and saw the potential to overcome the efficiency bottleneck of conventional computing system.