摘要
嗅觉对于生物的生存和繁衍有着至关重要的作用,仿生嗅觉模型是研究嗅觉的重要途径,对其进行研究能够推动生物学、神经科学、环境监测、计算科学、医学等众多领域的发展。针对现有仿生嗅觉模型繁多的问题,首先,对生物嗅觉神经系统的组成及工作原理进行全面的梳理,为仿生嗅觉模型的构建提供理论基础;其次,根据模拟嗅觉受体细胞与气味分子结合过程的实现原理不同,对构建仿生嗅觉模型的方法进行细致的划分和归纳,针对每一种方法都深入剖析其工作机制和原理,并总结其在仿生嗅觉模型研究中的优势和不足;最后,针对仿生嗅觉模型构建过程中存在的问题,基于理论推导和实际应用经验提供可行的建议。
Olfaction plays a crucial role in the survival and reproduction of organisms.Bio-inspired olfactory models,as a significant approach to studying smell,have the potential to drive the development of various fields such as biology,neuroscience,environmental monitoring,computer science,and medicine.In addressing the challenges presented by the numerous existing bio-inspired olfactory models,this work initially conducts a comprehensive review of the composition and operation principles of the biological olfactory nervous system,providing a theoretical foundation for constructing bio-inspired olfactory models.Secondly,based on the principle of simulating the binding process between olfactory receptor cells and odor molecules,the methods for constructing bio-inspired olfactory models are meticulously categorized and summarized.Each method is thoroughly dissected in terms of its working mechanisms and principles,and their strengths and limitations in bio-inspired olfactory model research are summarized.Finally,addressing the issues encountered during the construction of bio-inspired olfactory models,feasible recommendations are provided based on theoretical derivations and practical application experiences.
作者
李威
何浩波
李光
邝利丹
张锦
LI Wei;HE Haobo;LI Guang;KUANG Lidan;ZHANG Jin(School of Computer&Communication Engineering,Changsha University of Science&Technology,Changsha 410076,China;School of Control Science and Engineering,Zhejiang University,Hangzhou 310027,China)
出处
《计算机与现代化》
2024年第10期100-106,119,共8页
Computer and Modernization
基金
国家自然科学基金资助项目(61972055)
国防科技重点实验室基金资助项目(2021-KJWPDL-17)
工业控制技术国家重点实验室开放研究项目(ICT2022B60)
湖南省自然科学基金资助项目(2021JJ30456,2021JJ30734)。
关键词
嗅觉
生物学
神经科学
环境监测
计算科学
olfaction
biology
neuroscience
environmental monitoring
computational science