AI RESEARCH
Neural Visual Decoding via Cognitive guided Adaptive Blurring and Information Constrained Alignment
arXiv CS.CV
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ArXi:2605.16418v1 Announce Type: new EEG-based visual decoding aims to establish a mapping between neural signals and visual semantics. However, it remains constrained by the dual challenges of severe information granularity mismatch and the low signal-to-noise ratio (SNR) of EEG signals. Existing approaches typically treat static visual features, ignoring the dynamic selectivity of human vision and the frequency specificity of neural oscillations.