This repository introduces a region-based deep learning framework for identifying individual neural signatures from electroencephalography (EEG) recorded during natural reading tasks.
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Updated
Jan 30, 2026 - Jupyter Notebook
This repository introduces a region-based deep learning framework for identifying individual neural signatures from electroencephalography (EEG) recorded during natural reading tasks.
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.”
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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