leeh2213/MB2C
The code repository for "MB2C: Multimodal Bidirectional Cycle Consistency for Learning Robust Visual Neural Representations" in PyTorch
This project helps neuroscientists and researchers decode visual information from brain activity. By inputting raw EEG data and corresponding images, it can reconstruct the visual imagery a person was perceiving or classify what they were looking at. This tool is designed for cognitive scientists and brain-computer interface developers working with visual neural representations.
No commits in the last 6 months.
Use this if you are a neuroscientist or cognitive researcher looking to interpret visual experiences directly from EEG brain signals for classification or image reconstruction.
Not ideal if you are looking for a general-purpose image generation tool or a system that works with other types of brain data beyond EEG.
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Language
Python
License
MIT
Category
Last pushed
Nov 24, 2024
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