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Updated: Mar 11, 2026

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New Methods to Study Gustatory Coding
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面向味道的大脑与计算机接口 (Flavor-BCI):神经解码饮食和感官感知,在食品评估中新兴应用
Tianyi Yang1,2, Mian Cao2, Zhiyu Qian1
1Department of Biomedical Engineering, Key Laboratory of Multi-modal Brain-Computer Precision Drive, Ministry of Industry and Information Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China.
Comprehensive reviews in food science and food safety
|March 10, 2026
概括
味道-大脑-计算机接口 (味道-BCI) 提供客观的,实时测量味道感知,克服主观感官评估对食品科学和产品开发的局限性.
科学领域:
- 神经科学和食品科学 食品科学
- 多感官集成和味道的神经处理.
背景情况:
- 传统的感官评估依赖于主观评估,无法捕捉客观的神经处理的味道.
- 味觉感知涉及到奖励和享乐性大脑网络中的味觉,嗅觉和体感输入之间的复杂相互作用.
研究的目的:
- 审查味觉感知神经通路及其在大脑中的整合.
- 概述开发面向味道的大脑与计算机接口 (味道BCI) 的策略.
- 评估风味-BCI在食品设计和消费者研究中的应用和挑战.
主要方法:
- 检查神经通路的味觉,嗅觉和体感官输入集成.
- 对神经成像技术 (电生理学等) 的审查. 用于神经活动记录.
- 应用先进的算法来解码神经表征以获得客观的感官输出.
主要成果:
- 味觉感知涉及分布式神经网络的并行编码和集成.
- 味道BCI系统将记录的神经活动转化为客观的,实时测量味道体验.
- 这种方法提供了比传统的主观方法更高的精确量化.
结论:
- 味道BCI代表了食品科学中客观感官评估的重大进步.
- 它使智能感官评估和新型的人机交互能够用于产品开发.
- 未来的机遇在于利用风味-BCI来提高食品设计和消费者理解.
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