Neurologists use millisecond-level M/EEG tracking to prove the human brain and AI language models organize and predict language using parallel processing principles.

Neural network language models are not only key tools in natural language processing (NLP), but are also drawing an increasing scientific interest as potential models of human language processing.

Transformer-based large language models (LLMs) have considerably advanced our understanding of how meaning is represented in the human brain; however, the validity of increasingly large LLMs is being ...

Our brains handle vast amounts of complicated information. So, how exactly does the mind make sense of all the many things it has to deal with? While there are a few different ideas, information ...