Work Description

Title: EEG Datasets for Naturalistic Listening to "Alice in Wonderland" Open Access Deposited
Attribute Value
  • The data comprise 49 human electroencephalography (EEG) datasets collected at the University of Michigan Computational Neurolinguistics 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 ( 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
  • These files contain the raw data and processing parameters to go with the paper "Hierarchical structure guides rapid linguistic predictions during naturalistic listening" by Jonathan R. Brennan and John T. Hale. These files include the stimulus (wav files), raw data (matlab format for the Fieldtrip toolbox), data processing paramters (matlab), and variables used to align the stimuli with the EEG data and for the statistical analyses reported in the paper.
Contact information
Funding agency
  • National Science Foundation (NSF)
ORSP grant number
  • AWD003231
Date coverage
  • 2015-03-01 to 2018-08-01
Citations to related material
Resource type
Last modified
  • 05/03/2019
  • 11/20/2018
To Cite this Work:
Brennan, J. (2018). EEG Datasets for Naturalistic Listening to "Alice in Wonderland" [Data set]. University of Michigan - Deep Blue.


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