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相关概念视频

Olfaction01:25

Olfaction

44.5K
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...
44.5K
Physiology of Smell and Olfactory Pathway01:20

Physiology of Smell and Olfactory Pathway

8.7K
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...
8.7K
Olfactory Receptors: Location and Structure01:03

Olfactory Receptors: Location and Structure

9.4K
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...
9.4K

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相关实验视频

Updated: Jul 19, 2025

Using Insect Electroantennogram Sensors on Autonomous Robots for Olfactory Searches
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Using Insect Electroantennogram Sensors on Autonomous Robots for Olfactory Searches

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使用有限状态控制器进行嗅觉搜索.

Kyrell Vann B Verano1,2, Emanuele Panizon1, Antonio Celani1

  • 1Quantitative Life Sciences, The Abdus Salam International Center for Theoretical Physics, 34151 Trieste, Italy.

Proceedings of the National Academy of Sciences of the United States of America
|August 14, 2023
PubMed
概括
此摘要是机器生成的。

具有离散记忆状态的有限状态控制器可以有效地模拟复杂的嗅觉搜索行为. 这种方法为了解动物导航和神经机制提供了更简单,可解释的算法.

关键词:
嗅觉搜索是一种嗅觉搜索.部分可观测的马尔科夫决策过程.强化学习是一种强化学习.

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Controlled Odor Mimic Permeation Systems for Olfactory Training and Field Testing
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Controlled Odor Mimic Permeation Systems for Olfactory Training and Field Testing

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Olfactory Behaviors Assayed by Computer Tracking Of Drosophila in a Four-quadrant Olfactometer
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Olfactory Behaviors Assayed by Computer Tracking Of Drosophila in a Four-quadrant Olfactometer

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相关实验视频

Last Updated: Jul 19, 2025

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07:23

Using Insect Electroantennogram Sensors on Autonomous Robots for Olfactory Searches

Published on: August 4, 2014

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Controlled Odor Mimic Permeation Systems for Olfactory Training and Field Testing
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Olfactory Behaviors Assayed by Computer Tracking Of Drosophila in a Four-quadrant Olfactometer
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科学领域:

  • 计算神经科学是一种计算神经科学.
  • 动物行为 动物行为
  • 算法设计的设计算法

背景情况:

  • 由于气味信号稀疏和复杂的空间信息编码,长距离的嗅觉搜索具有挑战性.
  • 现有的算法方法通常依赖于大,连续的内存空间,阻碍了优化和解释.

研究的目的:

  • 为了证明具有离散内存的有限状态控制器可以有效地模拟复杂的搜索行为.
  • 为了解嗅觉搜索机制提供一个可解释的框架.

主要方法:

  • 为嗅觉搜索任务开发和优化有限状态控制器.
  • 分析由这些控制器生成的行为模块.

主要成果:

  • 具有少量离散状态的有限状态控制器表现出丰富的,时间延长的行为模块,类似于生物体中的行为模块.
  • 优化的控制器提供与近似时间 (钟) 和空间映射相关的解释.

结论:

  • 离散的记忆系统足以进行复杂的嗅觉搜索.
  • 这个框架将算法方法与搜索行为的神经模型连接起来,表明了潜在的生物相关性.