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相关概念视频

Olfaction01:25

Olfaction

48.2K
The sense of smell is achieved through the activities of the olfactory system. It starts when an airborne odorant enters the nasal cavity and reaches olfactory epithelium (OE). The OE is protected by a thin layer of mucus, which also serves the purpose of dissolving more complex compounds into simpler chemical odorants. The size of the OE and the density of sensory neurons varies among species; in humans, the OE is only about 9-10 cm2.
The olfactory receptors are embedded in the cilia of the...
48.2K
Physiology of Smell and Olfactory Pathway01:20

Physiology of Smell and Olfactory Pathway

12.4K
Humans detect odors with the help of specialized cells located in the upper part of the nasal cavity, called olfactory receptor neurons (ORNs). ORNs possess hair-like structures called cilia, which are receptive to sensations from the inhaled air. When an odorant molecule binds to a specific receptor on the cell of the cilia, it leads to a series of events that ultimately cause the ORN to send electrical signals to the olfactory bulb in the brain through the olfactory nerves.
The olfactory...
12.4K
Olfactory Receptors: Location and Structure01:03

Olfactory Receptors: Location and Structure

11.2K
The process of olfaction, also known as the sense of smell, is a sophisticated chemical response system. The specialized sensory neurons that facilitate this process, known as olfactory receptor neurons, are situated in an upper segment of the nasal cavity, known as the olfactory epithelium. Olfactory sensory neurons are bipolar, with their dendrites extending from the epithelium's apex into the mucus that lines the nasal cavity. Airborne molecules, when inhaled, traverse the olfactory...
11.2K

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相关实验视频

Updated: Jan 18, 2026

A Free-breathing fMRI Method to Study Human Olfactory Function
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利用可解释的AI来探索人工嗅觉中的结构-活动关系.

Yota Fukui1,2, Kosuke Minami3, Genki Yoshikawa3,4

  • 1Graduate School of Frontier Sciences, The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba 277-8568, Japan.

ACS applied materials & interfaces
|September 8, 2025
PubMed
概括

可解释性AI (XAI) 技术可视化化学传感器阵列的结构-活动关系. 这通过识别有效的受体材料和分析气味数据信号来推进人工嗅觉.

关键词:
人工嗅觉是一种人为的嗅觉.化学传感器阵列 化学传感器阵列卷积神经网络是一种卷积神经网络.可以解释的人工智能AI接收器材料 接收器材料评分-CAM 评分-CAM 评分-CAM 评分

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Author Spotlight: Exploring Olfactory Influences on Corticospinal Excitability - Insights and Innovations in Neurological Research
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相关实验视频

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科学领域:

  • 人工嗅觉是一种人为的嗅觉.
  • 化学传感器是一种化学传感器.
  • 材料科学是一种材料科学.

背景情况:

  • 化学传感器阵列旨在复制哺乳动物的嗅觉系统,以实现人工嗅觉.
  • 开发有效的受体材料需要理解结构-活性关系.

研究的目的:

  • 使用可解释AI (XAI) 可视化传感信号特征和气味分子特征之间的关系.
  • 制定指导方针,用于开发有效的受体材料,用于人工嗅觉.

主要方法:

  • 利用可解释的人工智能 (XAI) 技术,特别是卷积神经网络 (CNN) 和得分类激活映射 (Score-CAM).
  • 分析了94个用纯溶剂制备的气味样本,用于分类任务.

主要成果:

  • 成功地可视化了气味分子和传感器信号之间的结构-活性关系.
  • 精确地提取了传感器信号中的活性受体材料和数据点的信息.
  • 证明了XAI在分析传感器信号的气味数据方面的有效性.

结论:

  • 通过对传感器信号进行详细分析,XAI技术对于推进人工嗅觉至关重要.
  • 可视化结构-活动关系有助于合理设计新的嗅觉受体材料.