EEG Datasets for Naturalistic Listening to "Alice in Wonderland"
| Authors: | Jonathan R. Brennan, John T. Hale |
|---|---|
| Updated: | Fri 30 November 2018 |
| Source: | https://deepblue.lib.umich.edu/data/concern/data_sets/bg257f92t |
| Type: | dataset |
| Languages: | English |
| Keywords: | Naturalistic, Listening, Predictions, EEG, English |
| Open Access: | yes |
| License: | CC BY 4.0 |
| Publications: | Brennan, J. R., & Hale, J. T. (To appear). Hierarchical structure guides rapid linguistic predictions during naturalistic listening. PLoS ONE |
| Citation: | Brennan, J.R. (2018). EEG Datasets for Naturalistic Listening to ""Alice in Wonderland"" [Data set]. University of Michigan Deep Blue Data Repository. |
| Summary: | 49 human electroencephalography (EEG) datasets collected at the University of Michigan Computational Neurolinguistics Lab. Participants listened passively to an audiobook recording of the first chapter of Alice's Adventures in Wonderland (librivox.org, catalog date 2006-01-12) and after which they completed a short 8-question comprehension questionnaire. |