Data in support of the article "Orthogonal neural codes for speech in the infant brain"

Each subject has a dedicated .zip directory containing: [A] the EEG data in the original .raw format (recorded and converted from .mff files with the NetStation 5.3 software); [B] an event file with 6 columns reporting in order: <strong>the onset time of the events (i.e. syllables) in samples</strong> zeros (only useful when working with MNE Python) event codes (useful when working with MNE Python) <strong>the id of the event</strong><strong> (i.e. syllable: e.g. ‘bi_f’ where the last letter corresponds to speaker’s gender)</strong> the name of the precise speech token presented, specifying its duration (in ms) inter-stimulus-intervals (ISI, i.e. time lag in ms from syllable offset to next onset) <em>Additional material</em> The .txt file contains the <em>xyz</em> coordinates of the prototype EEG net employed. Being a custom and unique net, please note that such coordinates are approximate (and not perfectly symmetrical). In order to use them it is necessary to drop the channels E125 to E128 (EOG), not employed for the experiment. In scripts.zip there is a demonstration of how to use the event file (with MNE Python) to construct epochs and Python codes for the decoding analyses reported in the paper. <em>Useful to know:</em> For the original publication, EEG data was pre-processed with a preliminary version of APICE (see the Methods section of the paper for more details). A more advanced version of the pre-processing pipeline is now available here.