Natural language processing models reveal neural dynamics of human conversation.

ABSTRACT: Through conversation, humans engage in a complex process of alternating speech production and comprehension to communicate. The neural mechanisms that underlie these complementary processes through which information is precisely conveyed by language, however, remain poorly understood. Here, we used pre-trained deep learning natural language processing models in combination with intracranial neuronal recordings to discover neural signals that reliably reflected speech production, comprehension, and their transitions during natural conversation between individuals. Our findings indicate that the neural activities that reflected speech production and comprehension were broadly distributed throughout frontotemporal areas across multiple frequency bands. We also find that these activities were

SUBMITTER: Cai J 

PROVIDER: S-EPMC11982309 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature