信号(编程语言)
计算机科学
能量(信号处理)
传感器
功率(物理)
联轴节(管道)
人工神经网络
传输(电信)
电气工程
人工智能
工程类
物理
电信
量子力学
机械工程
程序设计语言
作者
Congtian Gu,Guoliang Ma,Mengze Zhang,Ying H. Shen,Liaoyuan Pu,Yanhe Song,S. Yan,Dakai Wang,Kaixian Ba,Bin Yu,Zhiwu Han,Luquan Ren
标识
DOI:10.1002/advs.202414173
摘要
Abstract Bionic neural devices often feature complex structures with multiple interfaces, requiring extensive post‐processing. In this paper, a neural device with intrinsic perception and decision‐making (NDIPD), inspired by neuronal oscillatory activity is introduced. The device utilizes alternating signals generated by coupling the human body with the power‐frequency electromagnetic field as both a signal source and energy source, mimicking neuronal oscillatory activity. The peaks and valleys of the alternating signal are differentially modulated to replicate the baseline shift process in neuronal oscillatory activity. By comparing the amplitude of the peaks and valleys in the NDIPD's electrical output signal, the device achieves intrinsic perception and decision‐making regarding the location of mechanical stimulation. This is accomplished using a single interface, which reduces data transmission, simplifies functionality, and eliminates the need for an external power supply. The NDIPD demonstrates a low‐pressure detection limit (<0.02 N), fast response time (<20 ms), and exceptional stability (>200 000 cycles). It shows great potential for applications such as game control, UAV navigation, and virtual vehicle driving. The innovative energy supply method and sensing mechanism are expected to open new avenues in the development of bionic neural devices.
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