Source Reconstructed MEG Data for Adaptive biasing of action-selective cortical build-up activity by stimulus history

This dataset contains source reconstructed MEG data for "Adaptive biasing of action-selective cortical build-up activity by stimulus history".

Source reconstructed files are named as follows: S{subject number}-SESS{session number}-REC{recording number}-stimulus-{"F" or "LF"}-chunk{a number between 0 and 500 in steps of 100}-lcmv.hdf. Source reconstructed data contain stimulus locked epochs for high (>=37Hz, "F") and low (<37 Hz, "LF") frequency TFR decompositions. Each session is spread over a number of files that contain chunks of up to 100 trials each.

Files can be read using 'pandas.read_hdf'. This returns a table that contains individual ROIs as columns and a multi-index. The index contains a trial identifier ('trial'), a time identifier ('time', seconds relative to trial onset), an identifier for the TFR settings ('est_key') and a frequency identifier ('est_val').