LITcoder

A general-purpose library for building and comparing neural encoding models.

Standardized pipelines for aligning stimuli with brain data, extracting features, and evaluating predictive models.

📄 Read the Paper 💻 GitHub 📊 Weights & Biases 📚 Tutorials 🔁 Replicate Results
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Open Source

MIT-licensed and free for academic and commercial use.
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Modular

Plug-and-play datasets, models, and evaluation strategies.
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Fast

Optimized for large-scale experiments with caching and parallel processing.
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Research-Ready

Built for reproducibility with standardized evaluation metrics.

🧠 Interactive: Test an encoding model

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Model Performance:
Mean correlation (r): --
Max correlation: --
Brain Activation Map
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Select parameters and click "See results" to view brain activation

Model: -- | Dataset: -- | Subject: --

📊 Supported Datasets

LeBel
Narratives
Little Prince (LPP)