An Artificial Neural Network for Image Classification Inspired by the Aversive Olfactory Learning Neural Circuit in Caenorhabditis elegans (Adv. Sci. 7/2025)

IF 14.1 1区 材料科学 Q1 CHEMISTRY, MULTIDISCIPLINARY Advanced Science Pub Date : 2025-02-17 DOI:10.1002/advs.202570039
Xuebin Wang, Chunxiuzi Liu, Meng Zhao, Ke Zhang, Zengru Di, He Liu
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Abstract

Nematode's Brain-Inspired AI

This cover image adapts a scene from the novel Journey to the West. In this version, the Monkey King uses a high-tech AI magic mirror to reveal the White Bone Spirit disguised among humans. The cover is linked to the research findings in article number 2410637, in which Xuebin Wang, Zengru Di, He Liu, and colleagues identify a neural circuit responsible for learning aversive olfactory memory in Caenorhabditis elegans. Drawing inspiration from these findings, they designed a novel artificial neural network architecture specifically tailored for image classification tasks. This brain-inspired AI architecture outperforms conventional methods, demonstrating superior performance.

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基于秀丽隐杆线虫厌恶嗅觉学习神经回路的图像分类人工神经网络研究(Sci. 7/2025)
这张封面图片改编自小说《西游记》中的一个场景。在这个版本中,孙悟空使用高科技人工智能魔镜,发现了伪装在人类中的白骨精。该封面与编号2410637的研究成果相关联,在这篇文章中,王学斌、狄增如、刘贺及其同事发现了秀丽隐杆线虫学习厌恶嗅觉记忆的神经回路。从这些发现中获得灵感,他们设计了一种专门为图像分类任务量身定制的新型人工神经网络架构。这种以大脑为灵感的人工智能架构优于传统方法,表现出卓越的性能。
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来源期刊
Advanced Science
Advanced Science CHEMISTRY, MULTIDISCIPLINARYNANOSCIENCE &-NANOSCIENCE & NANOTECHNOLOGY
CiteScore
18.90
自引率
2.60%
发文量
1602
审稿时长
1.9 months
期刊介绍: Advanced Science is a prestigious open access journal that focuses on interdisciplinary research in materials science, physics, chemistry, medical and life sciences, and engineering. The journal aims to promote cutting-edge research by employing a rigorous and impartial review process. It is committed to presenting research articles with the highest quality production standards, ensuring maximum accessibility of top scientific findings. With its vibrant and innovative publication platform, Advanced Science seeks to revolutionize the dissemination and organization of scientific knowledge.
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