Research suggests that the human brain and artificial neural networks process language in different ways, with the brain potentially creating summaries of text and artificial models processing full texts. Studies have found that the brain's natural language processing has a temporal structure, which may correspond to the layered hierarchy of large language models. The relationship between the brain's processing of language and artificial neural networks is being explored through various methods, including generative language reconstruction from brain recordings.