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Updated: Jan 6, 2026

Designing and Implementing Nervous System Simulations on LEGO Robots
Published on: May 25, 2013
Artificial Nervous Systems
Lu Yang1,2, Qingwen Cheng1,2, Yue Li1,2
1Institute 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.
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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