awwkl/brain_language_summarization

My code repository for my ICLR 2023 paper "Training language models to summarize narratives improves brain alignment"

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Experimental

This project helps neuroscientists and cognitive researchers analyze how different language models process narratives compared to human brain activity during reading. You provide preprocessed fMRI data from subjects reading a text, and the system extracts various NLP representations, aligning them with brain activity to measure how well the models predict brain responses. The output includes metrics like classification accuracy and perplexity, providing insights into brain-language alignment.

No commits in the last 6 months.

Use this if you are a neuroscientist or cognitive scientist investigating the relationship between computational language models and brain responses to narrative text.

Not ideal if you are looking for a general-purpose text summarization tool or a system for clinical fMRI analysis.

neuroscience cognitive science fMRI analysis language processing neurolinguistics
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 16 / 25
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How are scores calculated?

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16

Forks

Language

Jupyter Notebook

License

MIT

Last pushed

Jun 16, 2023

Commits (30d)

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