2022
DOI: 10.1101/2022.09.11.507501
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Emergence of syntax and word prediction in an artificial neural circuit of the cerebellum

Abstract: The cerebellum cooperates with the neocortex in language processing, particularly during language acquisition, but little is known about the circuit computations underlying cerebellar language functions. Here, to simulate language acquisition, we created a biologically constrained cerebellar artificial neural network (cANN) model. We found that as the cANN acquired prediction of future words, a second function—syntactic recognition, the extraction of rules from word sequences—emerged spontaneously in the middl… Show more

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“…Codes were written in Python and executed with Google Colab (Pro). The source codes are available on GitHub (https://github.com/cANN-NLP/NLP_codes; https://doi.org/10.5281/zenodo.10257296) 109 .…”
Section: Discussionmentioning
confidence: 99%
“…Codes were written in Python and executed with Google Colab (Pro). The source codes are available on GitHub (https://github.com/cANN-NLP/NLP_codes; https://doi.org/10.5281/zenodo.10257296) 109 .…”
Section: Discussionmentioning
confidence: 99%