ChiShengChen/MUSE_EEG
The official implement of Mind's eye: image recognition by EEG via multimodal similarity-keeping contrastive learning.
This project helps researchers analyze brain activity (EEG) to understand how people process visual information. It takes raw or preprocessed EEG data and a set of images, then processes them to determine if a person's brain activity matches a specific image or category, even if it hasn't seen that exact image before. Neuroscientists, cognitive psychologists, and brain-computer interface researchers would use this.
No commits in the last 6 months.
Use this if you are a researcher working with EEG data and want to classify or identify images purely from brain signals, especially in zero-shot scenarios where the model hasn't been explicitly trained on those images.
Not ideal if you are looking for a general-purpose image recognition tool that doesn't involve brain activity data.
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43
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2
Language
Python
License
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Last pushed
Apr 13, 2025
Commits (30d)
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