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Passage-level context is decodable from single EEG windows, with this information residing in deeper LLM layers, suggesting a richer representation of discourse than previously assumed.
Open-vocabulary word-level information can be reliably decoded from EEG during silent reading, revealing a scalable approach to understanding inner speech.