We’re pleased to release the raw EEG data, pre-processing parameters and stimulus details for our EEG story-listening experiment. The data comprise 49 human electroencephalography (EEG) datasets collected in our lab. The data were recorded with 61 active electrodes and a Brain Products actiCHamp amplifier at 500 Hz (0.1 to 200 hz band). Participants listened passively to a 12.4 m audiobook recording of the first chapter of Alice’s Adventures in Wonderland (librivox.org) and after which they completed a short 8-question comprehension questionnaire. The raw data are stored as MATLAB data structures created by the Fieldtrip toolbox (version 20170322, available at http://fieldtriptoolbox.org/).
The data and other information are released under the Creative Commons By Attribution License 4.0. That means that anyone can use these data to replicate/remix/build our work as long as you give appropriate credit. So have fun and let us know what you find!
Here is the recommended citation for the data:
Brennan, J.R. (2018). EEG Datasets for Naturalistic Listening to “”Alice in Wonderland”” [Data set]. University of Michigan Deep Blue Data Repository. https://doi.org/10.7302/Z29C6VNH
These data are used in these papers:
Brennan, J. R., & Hale, J. T. (2019). Hierarchical structure guides rapid linguistic predictions during naturalistic listening. PLoS ONE, 14(1), e0207741. https://doi.org/10.1371/journal.pone.0207741
Hale, J., Dyer, C., Kuncoro, A., & Brennan, J. (2018). Finding syntax in human encephalography with beam search. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2727–2736. https://doi.org/10/ggbzgt