Acc Chem Res. 2019 Apr 16;52(4):964-974. doi: 10.1021/acs.accounts.8b00553. Epub 2019 Mar 21.
Living organisms have a long evolutionary history that has provided them with functions and structures that enable them to survive in their environment. The goal of biomimetic technology is to emulate these traits of living things. Research in bioinspired electronics develops electronic sensors and motor systems that mimic biological sensory organs and motor systems and that are intended to be used in bioinspired applications such as humanoid robots, exoskeletons, and other devices that combine a living body and an electronic device. To develop bioinspired robotic and electronic devices that are compatible with the living body at the neuronal level and that are operated by mechanisms similar to those in a living body, researchers must develop biomimetic electronic sensors, motor systems, brains, and nerves. Artificial organic synapses have emulated the brain's plasticity with much simpler structures and lower fabrication cost than neurons based on silicon circuits, and with smaller energy consumption than traditional von Neumann computing methods. Organic synapses are promising components of future neuromorphic systems. In this Account, we review recent research trends of neuromorphic systems based on organic synapses, then suggest research directions. We introduce the device structures and working mechanisms of reported organic synapses and the brain's plasticity, which are mainly imitated to demonstrate the learning and memory function of the organic synapses. We also introduce recent reports on sensory synapses and sensorimotor nervetronics that mimic biological sensory and motor nervous systems. Sensory nervetronics can be used to augment the sensory functions of the living body and to comprise the sensory systems of biomimetic robots. Organic synapses can also be used to control biological muscles and artificial muscles that have the same working mechanism as biological muscle. Motor nervetronics would impart life-like motion to bioinspired robots. Chemical approaches may provide insights to guide development of new organic materials, device structures, and working mechanisms to improve synaptic responses of organic neuromorphic systems. For example, organic synapses can be applied to electronic and robotic skins and bioimplantable medical devices that use mechanically stable, self-healing, and biocompatible organic materials. Biochemical approaches may expand the plasticity of the brain and nervous system. We expect that organic neuromorphic systems will be vital components in bioinspired robotic and electronic applications, including biocompatible neural prosthetics, exoskeletons, humanoid soft robots, and cybernetics devices that are integrated with biological and artificial organs.
生物具有悠久的进化历史,这使它们具备了在环境中生存的功能和结构。仿生技术的目标是模仿这些生物特征。受生物启发的电子学研究开发了电子传感器和运动系统,这些传感器和运动系统模仿生物感觉器官和运动系统,旨在用于仿生应用,如仿人机器人、外骨骼和其他将生物体与电子设备结合在一起的设备。为了开发与生物体在神经元水平上兼容并通过与生物体类似的机制运行的仿生机器人和电子设备,研究人员必须开发仿生电子传感器、运动系统、大脑和神经。与基于硅电路的神经元相比,人工有机突触具有更简单的结构和更低的制造成本,与传统的冯·诺依曼计算方法相比,能耗也更小,从而模拟了大脑的可塑性。有机突触是未来神经形态系统有前途的组成部分。在本综述中,我们回顾了基于有机突触的神经形态系统的最新研究趋势,然后提出了研究方向。我们介绍了报道的有机突触的器件结构和工作机制以及大脑的可塑性,主要是为了展示有机突触的学习和记忆功能。我们还介绍了最近关于模拟生物感觉和运动神经系统的感觉突触和感觉运动神经电子学的报告。感觉神经电子学可用于增强生物体的感觉功能,并构成仿生机器人的感觉系统。有机突触还可用于控制具有与生物肌肉相同工作机制的生物肌肉和人工肌肉。运动神经电子学将为仿生机器人赋予逼真的运动。化学方法可能提供见解,以指导新型有机材料、器件结构和工作机制的开发,从而改善有机神经形态系统的突触响应。例如,有机突触可应用于使用机械稳定、自修复和生物相容的有机材料的电子和机器人皮肤以及可植入生物医学设备。生化方法可能会扩展大脑和神经系统的可塑性。我们预计,有机神经形态系统将成为仿生机器人和电子应用的重要组成部分,包括生物相容的神经假体、外骨骼、仿人软机器人以及与生物和人工器官集成的控制论设备。