LLM predictions of brain activity during naturalistic listening show cross-lingual spatial stability in cortical and subcortical networks that is not driven by surprisal or intrinsic dimensionality.
Pre-trained FastText word vector models (cc.en.300.bin, cc.zh.300bin, and cc.fr.300bin) served as models for non-contextual word embeddings
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Cross-lingual robustness of LLM-brain alignment and its computational roots
LLM predictions of brain activity during naturalistic listening show cross-lingual spatial stability in cortical and subcortical networks that is not driven by surprisal or intrinsic dimensionality.