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This study uses EEG to investigate how word predictability influences N400 brain responses across lexical categories, showing that content words exhibit greater N400 differences than function words, and decoding techniques outperform traditional ERP analysis.
Scientists recorded individual neurons in bilingual brains for the first time and found that the brain does not translate words using shared neurons but instead organizes each language into a geometric map of meaning with the same structure, similar to vector space isomorphism in LLMs.
This ERP study examines recursive locative processing in Mandarin-speaking children with autism, finding reduced early predictive engagement and increased semantic integration demands in the ASD group.
Researchers at Baylor College of Medicine discovered that the unconscious human hippocampus can process language and predict words, challenging current views on consciousness. The study, published in Nature, suggests biological parallels to AI predictive coding.