Runnable ZuCo 2.0 eye-tracking machine-learning pipeline with grouped validation and reproducibility outputs.
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Updated
Jul 7, 2026 - Python
Runnable ZuCo 2.0 eye-tracking machine-learning pipeline with grouped validation and reproducibility outputs.
This tutorial explains the preprocessing steps applied to EEG data in the study “ZuCo: A Simultaneous EEG and Eye-Tracking Resource for Natural Sentence Reading.”
This repository introduces a region-based deep learning framework for identifying individual neural signatures from electroencephalography (EEG) recorded during natural reading tasks.
Do LLMs think like brains? We test GPT-2, BERT, Mistral, DeepSeek & Qwen+SAE against EEG data. Sparse features yield a 4.3× alignment jump. Working paper included.
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