hans/nn-decoding
Brain decoding/encoding with neural network language models
This project helps neuroscientists and cognitive linguists understand how the human brain processes language by linking brain activity with artificial neural network language models. It takes fMRI brain imaging data and text, then outputs visualizations and statistical analyses comparing human and AI language representations. Researchers in neurolinguistics or computational neuroscience would find this useful for their studies.
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Use this if you are a researcher investigating the neural basis of language and want to compare human brain activity patterns during language processing with how artificial intelligence models represent language.
Not ideal if you lack access to high-performance computing resources or extensive disk space, as the full analysis pipeline requires significant computational power and storage.
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55
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11
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Oct 04, 2019
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