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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.

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 (
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
cross-model representations
Resource Type Dataset