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eess.SP2026
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…
eess.SP2025★ 1 cited
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…