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eess.SP2026
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…
eess.SP2025
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…