Catherine Chen af2aaf2ea7 Upload files to 'chen2024_timescales' | 3 months ago | |
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scores_pvalues | 3 months ago | |
README.md | 3 months ago | |
chen_2024_to_deniz_2019.json | 3 months ago |
This folder contains model prediction accuracy and pvalues for analyses in Chen et al., 2024.
Each scores_p{participant_id}_{modality}.npz
file contains a num_voxels
length matrix of the joint prediction accuracy of all ten feature spaces for each voxel (scores
), as well as a num_feature_spaces x num_voxels
of the split-correlation accuracy for each of the ten feature spaces for each voxel (scores_split
). The order of feature spaces in the split scores matrix is as follows: spectral-temporal features, motion energy features, 2-4 word timescale, 4-8 word timescale, 8-16 word timescale, 16-32 word timescale, 32-64 word timescale, 64-128 word timescale, 128-256 word timescale, 256+ word timescale.
Each pvalues_p{participant_id}_{modality}.npz
file contains a num_voxels
length matrix of the pvalue for each voxel.
The participant ids in Chen et al., 2024 are different from the ids used in Deniz et al., 2019. chen_2024_to_deniz_2019.json contains the mapping from Chen et al., 2024 to Deniz et al., 2019 numbering.
datacite.yml | |
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Title | The Representation of Semantic Information Across Human Cerebral Cortex During Listening Versus Reading Is Invariant to Stimulus Modality |
Authors |
Deniz,Fatma;University of California, Berkeley;0000-0001-6051-7288
Nunez-Elizalde,Anwar O.;University of California, Berkeley Huth,Alexander G.;University of California, Berkeley;ORCID:0000-0002-7590-3525 Gallant,Jack L.;University of California, Berkeley;ORCID:0000-0001-7273-1054 |
Description | This folder contains stimuli, models, and fMRI data of subject reading and listening to english narratives originally collected for Deniz et al. 2019. |
License | Creative Commons CC0 1.0 Public Domain Dedication (https://creativecommons.org/publicdomain/zero/1.0/) |
References |
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). [doi:10.1523/JNEUROSCI.0675-19.2019] (IsSupplementTo)
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. [10.1101/2023.01.06.522601] (IsSupplementTo) 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) [10.18653/v1/2022.findings-emnlp.330] (IsSupplementTo) |
Funding |
NSF; IIS1208203
NEI; EY019684 NEI; EY022454 IARPA; 86155-Carnegi-1990360-gallant CSI; CCF-0939370 |
Keywords |
Neuroscience
BOLD cross-model representations fMRI listening reading semantics |
Resource Type |
Dataset |