Carnegie Mellon University
Browse

File(s) not publicly available

Reason: Agreement required before data is released

RSVP reading of book chapter in MEG

dataset
posted on 2022-08-18, 14:55 authored by Leila WehbeLeila Wehbe, Tom MitchellTom Mitchell

Subjects read Chapter 9 of Harry Potter and the Sorcerer's Stone one word at a time while their activity was recorded using an Elekta MEG scanner. Words were presented for 0.5 seconds each. The Carnegie Mellon University and the University of Pittsburgh Institutional Review Boards have approved and overseen this study. 

This study was performed by Tom Mitchell's lab at Carnegie Mellon University. 

To access this data, please fill the following form, we will contact you shortly with more information:

https://forms.gle/9pjRk6B7aw79w2xs6


This data was used in the following publications:

Wehbe, L., Vaswani, A., Knight, K., & Mitchell, T. (2014, October). Aligning context-based statistical models of language with brain activity during reading. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP) (pp. 233-243).

Toneva, M., & Wehbe, L. (2019). Interpreting and improving natural-language processing (in machines) with natural language-processing (in the brain). Advances in Neural Information Processing Systems, 32

Schwartz, D., Toneva, M., & Wehbe, L. (2019). Inducing brain-relevant bias in natural language processing models. Advances in neural information processing systems, 32.

Toneva, M., Mitchell, T. M., & Wehbe, L. (2022). Combining computational controls with natural text reveals new aspects of meaning composition. BioRxiv, 2020-09.  

The files shared here include a time array indicating the timing of each column of data, and a label array indicating the order of each word in the stimulus text. To access the full MEG data, please fill the form above. 

Funding

NICHD grant 5R01HD07328-02

History

Date

2022-08-10

Usage metrics

    Categories

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC