AI RESEARCH
SIMON: Saliency-aware Integrative Multi-view Object-centric Neural Decoding
arXiv CS.CV
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ArXi:2605.00401v1 Announce Type: new Recent EEG-to-image retrieval methods leverage pretrained vision encoders and foveation-inspired priors, but typically assume a fixed, center-focused view. This center bias conflicts with content-driven human attention, creating a geometric-semantic dissociation between visual features and EEG responses. We propose SIMON, a saliency-aware multi-view framework for zero-shot EEG-to-image retrieval.