Brains and algorithms partially converge in natural language processing - Communications Biology.
Charlotte Caucheteux and Jean-Rémi King examine the ability of transformer neural networks trained on word prediction tasks to fit representations in the human brain measured with fMRI and MEG. Their results provide further insight into the workings of transformer language models and their relevance to brain responses.

Read in full here:

https://www.nature.com/articles/s42003-022-03036-1

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