Goal: We aim to harness the precision of human intracranial recordings and a large set of diverse linguistic materials designed to best discriminate among candidate artificial neural networks (ANNs) to test computational models of language understanding. 

Study population and setting:

• Participants include individuals with intractable epilepsy undergoing temporary implantation of subdural electrode arrays and depth electrodes to localize epileptogenic zones before brain resection.

Data generated:

• Intracranial recordings and task data will be archived on DABI and OSF.

Resources:

• Lab website: https://evlab.mit.edu

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