narratives_reading_listening_fmri/datacite.yml

authors:
  -
    firstname: "Fatma"
    lastname: "Deniz"
    affiliation: "University of California, Berkeley"
    id: "0000-0001-6051-7288"
  -
    firstname: "Anwar O."
    lastname: "Nunez-Elizalde"
    affiliation: "University of California, Berkeley"
  -
    firstname: "Alexander G."
    lastname: "Huth"
    affiliation: "University of California, Berkeley"
    id: "ORCID:0000-0002-7590-3525"
  -
    firstname: "Jack L."
    lastname: "Gallant"
    affiliation: "University of California, Berkeley"
    id: "ORCID:0000-0001-7273-1054"
title: "The Representation of Semantic Information Across Human Cerebral Cortex During Listening Versus Reading Is Invariant to Stimulus Modality"
description: "This folder contains stimuli, models, and fMRI data of subject reading and listening to english narratives originally collected for Deniz et al. 2019."
keywords:
  - Neuroscience
  - BOLD
  - cross-model representations
  - fMRI
  - listening
  - reading
  - semantics
license:
  name: "Creative Commons CC0 1.0 Public Domain Dedication"
  url: "https://creativecommons.org/publicdomain/zero/1.0/"
funding:
  - "NSF; IIS1208203"
  - "NEI; EY019684"
  - "NEI; EY022454"
  - "IARPA; 86155-Carnegi-1990360-gallant"
  - "CSI; CCF-0939370"
references:
  -
    id: "doi:10.1523/JNEUROSCI.0675-19.2019"
    reftype: "IsSupplementTo"
    citation: "Deniz F., Nunez-Elizalde A. O., Huth, A. G., & Gallant, J.L. The representation of semantic information across human cerebral cortex during listening versus reading is invariant to stimulus modality. Journal of Neuroscience, 39(39), 7722-7736 (2019)."
  -
    id: "10.1101/2023.01.06.522601"
    reftype: "IsSupplementTo"
    citation: "Chen C., Dupré la Tour T., Gallant J.L., Klein D., Deniz F. The Cortical Representation of Language Timescales is Shared between Reading and Listening. bioRxiv [Preprint]. 2023 Dec 11:2023.01.06.522601. doi: 10.1101/2023.01.06.522601. PMID: 37577530; PMCID: PMC10418083."
  -
    id: "10.18653/v1/2022.findings-emnlp.330"
    reftype: "IsSupplementTo"
    citation: "Lamarre M., Chen C., and Deniz F. Attention weights accurately predict language representations in the brain. In Findings of the Association for Computational Linguistics: EMNLP 2022, pages 4513–4529, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics. (2022)"
resourcetype: Dataset
templateversion: 1.2