ArticleNature communications2024
Modeling short visual events through the BOLD moments video fMRI dataset and metadata.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Triple-N dataset: large-scale fMRI-guided dense recordings of nonhuman primate neural responses to natural scenes.Nature neuroscience · 2026Article
- A large-scale heterogeneous 3D magnetic resonance brain imaging dataset for self-supervised learning.Scientific data · 2026Article
- Representations in vision and language converge in a shared, multidimensional space of perceived similarities.Journal of vision · 2026Article
- Rethinking Naturalistic Movie Neuroimaging Through Film Form.Behavioral sciences (Basel, Switzerland) · 2026Review
- A large-scale fMRI dataset for vision-language semantic association.Scientific data · 2026Article
- Pixel-level understanding of a world in motion within a neural encoding framework.Scientific reports · 2026Article
- A 7T fMRI dataset of synthetic images for out-of-distribution modeling of vision.Nature communications · 2026Article
- Behavioral and neural mechanisms underlying contextual processing in naturalistic short video viewing.iScience · 2026Article
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- Sex-specific dynamic changes of serum short-chain fatty acids in rhesus monkeys during aging.Lipids in health and disease · 2025Article
- In silico discovery of representational relationships across visual cortex.Nature human behaviour · 2025Article
- A large-scale MEG and EEG dataset for object recognition in naturalistic scenes.Scientific data · 2025Article
- TopoNets: High performing vision and language models with brain-like topography.... International Conference on Learning Representations · 2025Article
- ADA: A decoding algorithm for temporally-variable brain responses.Computational and structural biotechnology journal · 2025Article
- An fMRI dataset in response to large-scale short natural dynamic facial expression videos.Scientific data · 2024Article
- Principles of intensive human neuroimaging.Trends in neurosciences · 2024Article
- Sensitivity and specificity of the action observation network to kinematics, target object, and gesture meaning.Human brain mapping · 2024Article
- Hierarchical organization of social action features along the lateral visual pathway.Current biology : CB · 2023Article
- Probing the content of semantic representations in body-selective regions.Imaging neuroscience (Cambridge, Mass.)Article
Corrections and comments
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Authors and funding
13 authors.
Funding
Abstract
Studying the neural basis of human dynamic visual perception requires extensive experimental data to evaluate the large swathes of functionally diverse brain neural networks driven by perceiving visual events. Here, we introduce the BOLD Moments Dataset (BMD), a repository of whole-brain fMRI responses to over 1000 short (3 s) naturalistic video clips of visual events across ten human subjects. We use the videos' extensive metadata to show how the brain represents word- and sentence-level descriptions of visual events and identify correlates of video memorability scores extending into the parietal cortex. Furthermore, we reveal a match in hierarchical processing between cortical regions of interest and video-computable deep neural networks, and we showcase that BMD successfully captures temporal dynamics of visual events at second resolution. With its rich metadata, BMD offers new perspectives and accelerates research on the human brain basis of visual event perception.
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