Human hippocampus uses similar semantic coding as large language models

The research reveals that hippocampal neurons encode word meanings with distributed patterns and that this neural distance correlates with embedding vectors in large language models. This finding provides neuroscientific evidence that the brain's language processing process proceeds in parallel with the computational principles in artificial intelligence models.