journal article·2025-10Open access

Artificial Nervous Systems

Lu Yang, Qingwen Cheng, Yue Li, Ning Wu, Zhipeng Xu, Wentao Xu

Advanced Science· Volume 12· Issue 40

Abstract

Abstract Electronic devices and systems that can emulate the complex cognitive abilities of nervous systems have been an important research topic in recent years. Artificial nervous systems with multimodal perception, neural signal processing, and reflex‐driven functionalities have been established by integrating multimodal sensors, neuromorphic synaptic devices, and effector units. The important value of artificial nervous systems is mainly embodied in bioinspired information processing, transmission, and environmental adaptation aspects. However, since this field is still in its early stages, more exploration is needed to realize artificial nervous systems with autonomous adaptability, intelligent feedback, and bio‐interfacing applications. This review provides a comprehensive overview of recent advancements, spanning from the fundamental device structure and mechanism of synaptic devices to bio‐inspired artificial nervous systems. Finally, a brief perspective of this research field is provided.
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Research context

OpenAlex topics: Advanced Memory and Neural Computing · Neuroscience and Neural Engineering · Photoreceptor and optogenetics research

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Institute of Photoelectronic Thin Film Devices and Technology Key Laboratory of Photoelectronic Thin Film Devices and Technology of Tianjin College of Electronic Information and Optical Engineering Engineering Research Center of Thin Film Photoelectronic Technology of Ministry of Education Academy for Advanced Interdisciplinary Studies Nankai University Tianjin 300350 China

Shenzhen Research Institute of Nankai University Shenzhen 518000 China

Funding

National Key Research and Development Program of China · China Postdoctoral Science Foundation

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