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一种受神经元振荡活动启发、具有内在感知和决策能力的神经装置。

A Neural Device Inspired by Neuronal Oscillatory Activity with Intrinsic Perception and Decision-Making.

作者信息

Gu Congtian, Ma Guoliang, Zhang Mengze, Shen Hu, Pu Liaoyuan, Song Yanhe, Yan Shilong, Wang Dakai, Ba Kaixian, Yu Bin, Han Zhiwu, Ren Luquan

机构信息

State Key Laboratory of Crane Technology, Yanshan University, Qinhuangdao, Hebei, 066000, China.

School of Engineering and Informatics, University of Sussex, Falmer, Brighton, BN1 9RH, United Kingdom.

出版信息

Adv Sci (Weinh). 2025 Mar;12(12):e2414173. doi: 10.1002/advs.202414173. Epub 2025 Feb 4.

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.

摘要

仿生神经装置通常具有带有多个接口的复杂结构,需要大量的后处理。本文介绍了一种受神经元振荡活动启发的具有内在感知和决策能力的神经装置(NDIPD)。该装置利用人体与工频电磁场耦合产生的交变信号作为信号源和能量源,模仿神经元振荡活动。对交变信号的峰值和谷值进行差分调制,以复制神经元振荡活动中的基线偏移过程。通过比较NDIPD电输出信号中峰值和谷值的幅度,该装置实现了对机械刺激位置的内在感知和决策。这是通过单个接口完成的,减少了数据传输,简化了功能,并且无需外部电源。NDIPD展示了低压力检测极限(<0.02 N)、快速响应时间(<20 ms)和出色的稳定性(>200 000次循环)。它在游戏控制、无人机导航和虚拟车辆驾驶等应用中显示出巨大潜力。这种创新的能量供应方法和传感机制有望为仿生神经装置的发展开辟新途径。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bdf1/11948023/0cab3fb8d7f0/ADVS-12-2414173-g004.jpg

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