Flexible Electrolyte-Based Devices for Neuromorphic Electronics

Abstract

It is difficult for traditional digital circuits to gain a foothold in the next generation of artificial intelligence (AI) and Internet of Things (IoT) because the von Neumann architecture faces storage and power consumption walls that are difficult to break through. Fortunately, biologically inspired neuromorphic devices can realize bio-sensing, memory, and computing functions with low power consumption and high energy efficiency, which opens up a new way to break the above technological bottlenecks. Particularly, flexible electrolyte-based neuromorphic devices have significant application potential in the fields of bio-prosthesis, wearable intelligent systems, and brain–computer interface due to their flexible, reconfigurable, and biocompatible characteristics. This article introduces their working mechanisms and recent progresses in artificial neural networks, bionic perception systems, and human–machine interfaces. Finally, the existing problems, challenges, and future directions are discussed.