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Neural Contextualization in Language Processing by xinyuanyan2016 is a document available to read on EtoBox.
This study investigates semantic contextualization in the human hippocampus by examining neuronal responses while participants listened to podcasts. The findings suggest that hippocampal neurons utilize positional encoding and weighted summation of word embeddings, paralleling self-attention mechanisms in large language models (LLMs). The results support the hypothesis that the computational principles of language processing in the brain share similarities with those used in LLMs, particularly in next-word
- Author
- xinyuanyan2016
- Language
- EN