Emergence of syntax and word prediction in an artificial neural circuit of the cerebellum.

ABSTRACT: The cerebellum, interconnected with the cerebral neocortex, plays a vital role in human-characteristic cognition such as language processing, however, knowledge about the underlying circuit computation of the cerebellum remains very limited. To gain a better understanding of the computation underlying cerebellar language processing, we developed a biologically constrained cerebellar artificial neural network (cANN) model, which implements the recently identified cerebello-cerebellar recurrent pathway. We found that while cANN acquires prediction of future words, another function of syntactic recognition emerges in the middle layer of the prediction circuit. The recurrent pathway of the cANN was essential for the two language functions, whereas cANN variants with further biological constrai

SUBMITTER: Ohmae K 

PROVIDER: S-EPMC10831061 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature