Advanced EEG Sensing and Brain–Computer Interfaces for Neuroengineering

Dear Colleagues,

This Special Issue aims to highlight the latest advances in EEG sensing technologies and Brain–Computer Interfaces (BCIs) that are transforming the landscape of neuroengineering and human–machine symbiosis. As noninvasive neurotechnologies become more precise and accessible, novel developments in wearable EEG systems, dry and flexible electrodes, and AI-driven signal decoding are opening new possibilities for clinical neuroscience, rehabilitation, and cognitive augmentation.

We invite contributions that address breakthroughs in signal acquisition, noise reduction, feature extraction, connectivity analysis, and neuromodulation interfaces. Studies integrating machine learning, deep learning, and neurofeedback frameworks to enhance decoding performance are especially encouraged. The goal is to advance the design of smarter, adaptive, and interpretable BCI systems for both healthcare and everyday neurotechnology applications.

Dr. Yufeng Ke
Guest Editor

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