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Henry Samueli School of Engineering and Applied Science, University of California, Los Angeles, California 90095
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Phase transitions in language models aren't just a statistical mechanics quirk of long-range interactions, but arise from the intrinsic, context-sensitive nature of language itself.
A new large-scale, harmonized iEEG dataset with expert annotations finally opens the door for reproducible and clinically relevant machine learning models for epilepsy research.