神经形态工程学
接口
计算机科学
人工神经网络
离子液体
自然计算
人机交互
计算机体系结构
纳米技术
人工智能
材料科学
化学
计算机硬件
生物化学
催化作用
作者
Zijia Huang,Tingting Mei,Xinyi Zhu,Kai Xiao
标识
DOI:10.1002/asia.202401170
摘要
In living organisms, the modulation of ion conductivity in ion channels of neuron cells enables intelligent behaviors, such as generating, transmitting, and storing neural signals. Drawing inspiration from these natural processes, researchers have fabricated ionic devices that replicate the functions of the nervous system. However, this field remains in its infancy, necessitating extensive foundational research in ionic device preparation, algorithm development, and biological interaction. This review summarizes recently developed neuromorphic ionic devices into three categories based on the materials states: liquid, semi‐solid, and solid. The neural network algorithms embedded in these devices for neuromorphic computing are introduced, and future directions for the development of bidirectional human‐computer interaction and hybrid human‐computer intelligence are discussed.
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