GLIM reframes EEG-to-text as semantic summarization, using contrastive-generative alignment to a frozen language model and domain prompts, and reports gains in EEG-grounded generation, retrieval, and zero-shot classification on ZuCo.
Brain diffusion for visual exploration: Cortical discovery using large scale generative models
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Learning Interpretable Representations Leads to Semantically Faithful EEG-to-Text Generation
GLIM reframes EEG-to-text as semantic summarization, using contrastive-generative alignment to a frozen language model and domain prompts, and reports gains in EEG-grounded generation, retrieval, and zero-shot classification on ZuCo.