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Zhenyao Cui

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Preprint Aug 2026

SCORE: Subject Coordinate Recovery for Label-Free Cross-Subject EEG-to-Image Retrieval

Accurate visual decoding can reveal how the brain represents visual information and recover perceived content from neural signals such as electroencephalography (EEG), with potential for neural communication. However, current EEG-to-image retrieval methods perform far below their within-subject counterparts for new use...

Zhenyao Cui, Siyuan Kan, Siyang Li et al. · 1 citation
Preprint Aug 2026

Beyond Trial Averaging: Anchoring Neural and Visual Representations for Few-Repetition Brain-to-Image Retrieval

A neural-anchor-based retrieval framework that treats the high-repetition center as an anchor and approaches it from both sides: a denoiser pulls the noisy query toward the true anchor, and a small network predicts each candidate's pseudo anchor from its image and pulls the image toward it.

Zhenyao Cui, Siyuan Kan, Ding-Kun Liu et al. · 0 citations
Review Open access Jan 2026

EEG-FM-Compass: Progress, Benchmarking, and Future Directions for EEG Foundation Models

The results indicate that: 1) linear probing is frequently insufficient; 2) specialist models trained from scratch remain competitive across many tasks; and 3) larger FMs do not necessarily yield better generalization performance under current data regimes and training practices.

Dingkun Liu, Yu-Heng Chen, Zhu Chen et al. · 12 citations · ⚡3

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