IGZO/PVP Composite\nNanofiber Neuromorphic Transistors\nwith Optoelectronic Synapse Emulation and Reservoir Computing

Nanofiber neuromorphic transistors are regarded as promising\ncandidates\nfor mimicking brain-like learning and advancing high-performance computing.\nComposite nanofibers (CNFs) typically exhibit enhanced optoelectronic\nand mechanical properties. In this study, indium–gallium–zinc\noxide (IGZO)/polyvinylpyrrolidone (PVP) CNFs were synthesized, and\nthe neuromorphic transistor was integrated on both rigid and flexible\nsubstrates. The learning behavior, characterized by the transition\nfrom short-term plasticity (STP) to long-term plasticity, was achieved\nthrough photoelectric stimulation of the rigid neuromorphic transistor.\nThe nonlinear STP was simulated by the flexible neuromorphic transistor\nthrough electrical pulses, matching effectively with a reservoir computing\n(RC) system. Hand gesture recognition with little energy consumption\n(49 pJ per reservoir state) and a maximum accuracy of 92.86% has been\nachieved by the RC system, proving the substantial potential of the\nIGZO/PVP CNF neuromorphic transistor for wearable intelligent processing\ntasks.