Lead-free halide perovskite-based optoelectronic synapse for reservoir computing

The development of reservoir computing (RC) systems based on optoelectronic synapse presents a promising avenue for advancing neuromorphic computing. In this work, an optoelectronic device is prepared based on CsCu₂I₃/PEDOT:PSS heterojunction. The device successfully mimics the basic functions of biological synapses. The nonlinear photocurrent response of device endows it capability as the reservoir in RC system. The developed RC systems achieve 94.6 % accuracy in brain tumor identification and 97.1 % accuracy in elderly fall detection, all while significantly reducing energy consumption compared to conventional neural networks. These results highlight the potential of the fabricated optoelectronic synapse as a low-power, high-efficiency solution for next-generation diagnostic and monitoring technologies.