4 citations · 10 across the 18 of their papers we have counts for
4 papers · 1 filter
Learning Dynamic Neural Evidence Representations for Time-Adaptive Brain-Computer Interfaces
Beining Cao, Ziyi Zhao, Xiaowei Jiang +5
Brain-computer interfaces (BCIs) decode neural activity into commands, yet most existing systems rely on fixed-window decoding that may result in redundant observation or unreliabl…
Interpretable Fuzzy Modeling Reveals Population-Level Representation Differences in P300 Brain Computer Interfaces Across Neurodivergent and Neurotypical Cohorts
Xiaowei Jiang, Sudong Shang, Adrian Wilkinson +4
P300-based brain-computer interfaces (BCIs) are widely used for communication, but population heterogeneity may alter the neural patterns available for decoding. Prior work has mai…
Interpretable Dual-Filter Fuzzy Neural Networks for Affective Brain-Computer Interfaces
Xiaowei Jiang, Yanan Chen, Nikhil Ranjan Pal +4
Fuzzy logic provides a robust framework for enhancing explainability, particularly in domains requiring the interpretation of complex and ambiguous signals, such as brain-computer…
BELT-2: Bootstrapping EEG-to-Language representation alignment for multi-task brain decoding
Jinzhao Zhou, Yiqun Duan, Fred Chang +3
The remarkable success of large language models (LLMs) across various multi-modality applications is well established. However, integrating large language models with humans, or br…