TY  - INPR
A1  - Lahner, Benjamin
A1  - Dwivedi, Kshitij
A1  - Iamshchinina, Polina
A1  - Graumann, Monika
A1  - Lascelles, Alex
A1  - Roig Noguera, Gemma
A1  - Gifford, Alessandro Thomas
A1  - Pan, Bowen
A1  - Jin, SouYoung
A1  - Ratan Murty, N. Apurva
A1  - Kay, Kendrick
A1  - Oliva, Aude
A1  - Cichy, Radoslaw Martin
T1  - BOLD Moments: modeling short visual events through a video fMRI dataset and metadata
T2  - bioRxiv
N2  - 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 1,000 short (3s) 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.
Y1  - 2024
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/83414
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-834141
UR  - https://www.biorxiv.org/content/10.1101/2023.03.12.530887v2
IS  - 2023.03.12.530887 Version 2
PB  - bioRxiv
ER  -