cankocagil/Cognitive-Computational-Modelling-for-Spatio-Temporal-fMRI-in-Ventral-Temporal-Cortex
Multi-voxel pattern analyses methods based on ML & DL to decode the category of visual stimuli viewed by a human subject based on their recorded brain activity in fMRI form
This project helps cognitive neuroscientists understand how the human brain processes visual information. It takes fMRI data showing brain activity while someone views visual stimuli, and outputs classifications of what they were looking at (e.g., faces, objects). Researchers studying the brain's visual pathways would use this to decode visual stimuli from fMRI scans.
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Use this if you are a cognitive neuroscientist performing multi-voxel pattern analysis on fMRI data to decode visual stimuli.
Not ideal if you are looking for general fMRI analysis tools beyond visual stimulus decoding, or if your fMRI data doesn't involve visual tasks.
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GPL-3.0
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Sep 29, 2021
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