Decoding Visual Experience and Mapping Semantics through Whole-Brain Analysis Using fMRI Foundation Models
Paper • 2411.07121 • Published • 2
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__key__ string | __url__ string | bold.pyd unknown | config.json dict | stimuli.png image | t_r.pyd unknown | voxel.pyd unknown |
|---|---|---|---|---|---|---|
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End of preview.
Dataset Name: WAVE-BOLD5000
WAVE-BOLD5000 Dataset
Description
The WAVE-BOLD5000 dataset is an extension of the BOLD5000 dataset, featuring processed fMRI data designed for tasks in neural decoding and development of generative models. Check our paper here: https://arxiv.org/abs/2411.07121
Dataset Structure
Files and Folders
- CSIx: Contains processed data for the subject identified by CSIx.
- train/: Training set tar files.
- test/: Test set tar files.
Data Fields
- bold.pyd: Processed whole brain BOLD signal data.
- voxel.pyd: Processed voxel data, aligned with mind-vis voxel data.
- tr.pyd: Time of Repetition (TR) data for BOLD signals.
- stimuli.png: Image stimuli associated with the BOLD data.
- config.json: Configuration file detailing parameters used during data processing.
Example of Config Json Data
This JSON example shows the structure and type of metadata included in the config.json files:
{
"label": "homegarage",
"img_name": "homegarage3.jpg",
"ds": "scene",
"rep": false
}
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