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相关概念视频

Gustation01:43

Gustation

47.5K
Gustation is a chemical sense that, along with olfaction (smell), contributes to our perception of taste. It starts with the activation of receptors by chemical compounds (tastants) dissolved in the saliva. The saliva and filiform papillae on the tongue distribute the tastants and increase their exposure to the taste receptors.
47.5K
Taste Buds and Receptors01:20

Taste Buds and Receptors

1.8K
Gustation, or the sense of taste, is intrinsically linked to the anatomical structures located on the tongue. This organ's surface, along with the entirety of the oral cavity, is adorned with stratified squamous epithelium. Evident on the tongue are elevated structures known as papillae (singular = papilla), which house the mechanisms for the transduction of gustatory stimuli. Four distinct types of papillae exist, each identified by their unique morphological attributes: the circumvallate,...
1.8K
The Physiology of Taste01:24

The Physiology of Taste

3.6K
The perception of a salty flavor is facilitated by sodium ions within the oral salivary fluid. Upon consumption of a salty substance, salt crystals disassemble, leading to the liberation of its constituents—Na+ and Cl- ions. These ions subsequently dissolve into the salivary fluid present in the oral cavity. The external environment of the gustatory cells experiences an elevation in Na+ concentration, thereby establishing a potent concentration gradient. This gradient propels the...
3.6K

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相关实验视频

Updated: May 17, 2025

Deep Neural Networks for Image-Based Dietary Assessment
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Deep Neural Networks for Image-Based Dietary Assessment

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品味网:一种新的深度学习方法,用于基于EEG的基本口味感知识别,使用CEEMDAN域特征.

Sagnik De1, Prithwijit Mukherjee1, Anisha Halder Roy1

  • 1Institute of Radio Physics & Electronics, University of Calcutta, Kolkata, 700009, West Bengal, India.

Journal of neuroscience methods
|May 2, 2025
PubMed
概括

这项研究介绍了TasteNet,这是一种深度学习模型,可以准确地从EEG信号中识别基本的口味,准确率为97.52%. 味道网通过分解EEG信号和提取特征来分析味道感知,以提高味道分类.

关键词:
这就是Att-BiPLSTM.在CEEMDAN,你会发现.在美国,CNN是CNN.这是一个EEGEEGEEGEEGEEGEEGEEG.的特征是的特征.多头注意力注意力多头注意力味觉感知分析的分析.

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Integration of Animal Behavioral Assessment and Convolutional Neural Network to Study Wasabi-Alcohol Taste-Smell Interaction
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Electronic Tongue Generating Continuous Recognition Patterns for Protein Analysis
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相关实验视频

Last Updated: May 17, 2025

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科学领域:

  • 神经科学是一个神经科学.
  • 计算神经科学是一种神经科学.
  • 感官科学 感官科学

背景情况:

  • 味觉感知涉及味觉系统通过味觉受体检测化学刺激.
  • 分析味觉感知对于理解感官反应和味觉障碍至关重要.

研究的目的:

  • 开发一种深度学习框架,用于识别来自电脑电图 (EEG) 信号的基本口味刺激.
  • 通过先进的信号处理和神经网络架构,提高味觉分类的准确性.

主要方法:

  • 用完整集体实证模式分解与自适应噪声 (CEEMDAN) 预处理和分解了EEG信号.
  • 从内在模式函数 (IMF) 中提取了六个特征 (样本,泡,近似,分散,斜率,变换).
  • 开发了一个新的深度学习模型TasteNet,集成CNN,多头注意力和Att-BiPLSTM.

主要成果:

  • 品味网模型准确地将味觉刺激分为六类:没有味道,甜,酸,苦,乌玛米和.
  • 获得了高分类准确度97.52±0.48%的味觉感知.

结论:

  • 味道网提供了一个强大的框架,用于使用EEG信号精确识别味道感知.
  • CEEMDAN,特征和先进的神经网络组件 (多头注意力,Att-BiPLSTM) 的组合增强了味觉识别.