Artificial Nervous Systems

Lu Yang

doi:10.1002/advs.202511478

2025-09-14

DOI：10.1002/advs.202511478

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摘要

En 中文

能够模拟神经系统复杂认知能力的电子器件与系统，近年来已成为一个重要的研究课题。通过集成多模态传感器、神经形态突触器件和效应器单元，已建立起具备多模态感知、神经信号处理和反射驱动功能的人工神经系统。人工神经系统的重要价值主要体现于仿生信息处理、传输和环境适应等方面。然而，由于该领域仍处于早期阶段，仍需进一步探索以实现具备自主适应性、智能反馈和生物接口应用的人工神经系统。本文对近期进展进行了全面概述，内容涵盖从突触器件的基本结构与机制到仿生人工神经系统的广泛领域。最后，对这一研究领域提供了简要展望。

Keyword:

artificial nervous system

multimodal perception

neural signal processing

neuromorphic device

synaptic device

AI总结

对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

Advanced Science

IF:

14.1

论文数:

1.8W

被引数:

11.5W

机构

nankai university

学者数:

4.8W

论文数: 3.3W

被引数: 74

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