Data for: Intracranial entrainment reveals statistical learning across levels of abstraction

<div class="t-landing__text-wall "> <p>The following submission contains the data reported from the manuscript "Intracranial entrainment reveals statistical learning across levels of abstraction". The dataset was obtained from 8 neurosurgical patients who had intracranially implanted electrodes for seizure monitoring. Intracranial EEG (iEEG) data were recorded while the patients viewed a rapid stream of scene images. In the Category-Level Structured condition, patients viewed a series of trial-unique scene images, in which the categories of scenes were paired across repetitions (e.g., images of beach always followed by images of canyons). In the Exemplar-level Structured condition, participants viewed a sequence of 6 repeating scene images (from non-overlapping scene categories), which were paired across repetitions (e.g., image A always followed by image B). In the baseline Random condition, participants again viewed a sequence of 6 repeating scene images, but the images were presented in a random temporal order. Each image was presented for 250 ms, followed by a 250 ms inter-stimulus-interval period.</p> <p>The data presented here contain the raw iEEG data from the 8 patients during these task conditions, as well as information about the anatomical placement of their electrodes.</p> </div>