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cs.NE2026
Neural Dynamics Self-Attention for Spiking Transformers
Dehao Zhang, Fukai Guo, Shuai Wang +6
Integrating Spiking Neural Networks (SNNs) with Transformer architectures offers a promising pathway to balance energy efficiency and performance, particularly for edge vision appl…
cs.NE2025
Decoding Listeners Identity: Person Identification from EEG Signals Using a Lightweight Spiking Transformer
Zheyuan Lin, Siqi Cai, Haizhou Li
EEG-based person identification enables applications in security, personalized brain-computer interfaces (BCIs), and cognitive monitoring. However, existing techniques often rely o…