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Brain-Computer Interface-Based in vivo Bioelectronic Nose Demonstration
Members of the Biosensor National Special Laboratory at Zhejiang University , China, represented by Dr. Liujing Zhuang, will present a live demonstration of the revolutionary brain-computer interface-based in vivo bioelectronic nose at the 8th Digital Olfaction Society Annual Meeting on December 5-6, 2024, in Tokyo. The demonstration will the highlight a technology that blends biology, engineering, and artificial intelligence to achieve advanced olfactory sensing.
Key Features of the Demonstration:
- Real-Time Odor Detection: Integration of living mammals with implantable flexible neural electrodes captures brain signals linked to specific odors with unparalleled accuracy.
- Advanced Machine Learning Models: Achieves odor classification accuracies of up to 91.2% using state-of-the-art deep learning techniques.
- Precision Distance Estimation: Incorporates spiking neural networks for odor source localization, delivering average root mean square error values as low as 0.1 meters across diverse conditions.
- Dynamic Adaptability: Combines biological and AI-driven technologies for robust performance in varied environments.
