aluo-x/BrainDiVE
Brain Diffusion for Visual Exploration: Cortical Discovery using Large Scale Generative Models (NeurIPS 2023 Oral)
This tool helps neuroscientists and cognitive researchers explore how specific brain regions respond to visual stimuli. By inputting fMRI data paired with natural images and a 'brain encoder' that predicts brain activity from images, it synthesizes new, naturalistic images predicted to activate target areas of the higher visual cortex. The output images can then be used for visual examination or in new fMRI experiments to uncover novel functional subdivisions within brain regions.
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Use this if you want to generate specific visual stimuli that are predicted to activate particular brain regions, moving beyond pre-defined categories to understand finer-grained cortical organization.
Not ideal if you are looking for a simple tool to analyze existing fMRI data without synthesizing new visual stimuli or if your primary interest is outside of higher-order visual cortex.
Stars
27
Forks
3
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 28, 2024
Commits (30d)
0
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