Dingkun Liu

Asynchronous EEG event detection is solved by a novel multiscale discrete spatiotemporal tokenization that captures both brief and sustained neural dynamics, outperforming prior methods across diverse datasets.

Anchoring neural and visual representations can boost brain-to-image retrieval accuracy by over 9% with minimal stimulus repetitions, challenging the reliance on trial averaging.

STEAM achieves superior EEG decoding performance with a novel hierarchical pre-training approach that enhances model specialization without starting from scratch.