计算机与现代化2024,Issue(10) :100-106,119.DOI:10.3969/j.issn.1006-2475.2024.10.016

仿生嗅觉模型构建方法及其应用综述

A Review of Bionic Olfactory Model Construction Methods and Applications

李威 何浩波 李光 邝利丹 张锦
计算机与现代化2024,Issue(10) :100-106,119.DOI:10.3969/j.issn.1006-2475.2024.10.016

仿生嗅觉模型构建方法及其应用综述

A Review of Bionic Olfactory Model Construction Methods and Applications

李威 1何浩波 1李光 2邝利丹 1张锦1
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作者信息

  • 1. 长沙理工大学计算机与通信工程学院,湖南 长沙 410076
  • 2. 浙江大学控制科学与工程学院,浙江 杭州 310027
  • 折叠

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.

Abstract

Olfaction plays a crucial role in the survival and reproduction of organisms.Bio-inspired olfactory models,as a signifi-cant approach to studying smell,have the potential to drive the development of various fields such as biology,neuroscience,en-vironmental 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 con-structing 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 recom-mendations are provided based on theoretical derivations and practical application experiences.

关键词

嗅觉/生物学/神经科学/环境监测/计算科学

Key words

olfaction/biology/neuroscience/environmental monitoring/computational science

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基金项目

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)

湖南省自然科学基金资助项目(2021JJ30734)

出版年

2024
计算机与现代化
江西省计算机学会 江西省计算技术研究所

计算机与现代化

CSTPCD
影响因子:0.472
ISSN:1006-2475
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