This study uses wide-scale single-neuronal recordings combined with natural language processing models to identify fine-grained linguistic representations in the human frontotemporal cortex during speech production. Researchers found that specific neurons represent grammatical relationships, parts of speech, higher-order syntactic structures, and sentence sequences. These cells encode both semantic properties and dynamic sentence contexts at highly granular levels. The findings reveal that language encoding is left-lateralized and varies across cortical regions, defining the cellular building blocks of language from a micro to macro scale.
* Neurons track hierarchical syntactic structures and phrase transitions.
* Linguistic information is encoded combinationally with sentence context.
* Encoding patterns are distributed broadly but show left-hemisphere lateralization.
* Microscale neuronal activity differs significantly from wider field potential patterns.
* Neurons track hierarchical syntactic structures and phrase transitions.
* Linguistic information is encoded combinationally with sentence context.
* Encoding patterns are distributed broadly but show left-hemisphere lateralization.
* Microscale neuronal activity differs significantly from wider field potential patterns.
