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  - Grasping the meaning of everyday visual events is a fundamental feat of human intelligence that hinges on diverse neural processes ranging from vision to higher-level cognition. Deciphering the neural basis of visual event understanding requires rich, extensive, and appropriately designed experimental data. However, this type of data is hitherto missing. To fill this gap, we introduce the BOLD Moments Dataset (BMD), a large dataset of whole-brain fMRI responses to over 1,000 short (3s) naturalistic video clips and accompanying metadata. We show visual events interface with an array of processes, extending even to memory, and we reveal a match in hierarchical processing between brains and video-computable deep neural networks. Furthermore, we showcase that BMD successfully captures temporal dynamics of visual events at second resolution. BMD thus establishes a critical groundwork for investigations of the neural basis of visual event understanding.
Y1  - 2023
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/73178
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-731782
IS  - 2023.03.12.530887
ER  -