Tools & Resources
OpenMReye: MR-Based Eye Tracking Without Camera
OpenMReye is a growing ecosystem of open-source computational tools for magnetic resonance-based eye tracking. By replacing expensive camera hardware with smart, open software, these tools enable even the smallest MRI facilities and hospitals to use eye tracking for research and clinical applications.
DeepMReye
Decoding gaze position from eye-voxel patterns using deep neural networks.
Paper ·
Code ·
Data & Pretrained models
HMMeye
Eye voxel-based event segmentation using Hidden Markov Models.
Paper ·
Code
MReyeMove
Unsupervised reconstruction of putative eye movements from eye-voxel patterns.
Paper ·
Code (release planned 2026)
Behavioral Encoding Modeling
This code creates, fits & tests an encoding model of virtual head direction using simulated fMRI voxel time courses. It can be easily adapted for other behavioral domains & imaging techniques (MEG, 2p-imaging...) to study the neural underpinnings of behavior across species.
Other Research Code & Data
DeepInsight — A general framework for interpreting wide-band neural activity using deep learning (Frey et al. 2020).
Eyes-closed eye tracking repository — Analysis code for "Brain-wide gaze-dependent activity during eyes-closed rest and sleep" (Nudelman & Nau 2026).
Sherlock eye-tracking & spoken-recall repository — Data and analysis code associated with "Neural and behavioral reinstatement jointly reflect retrieval of narrative events" (Nau et al. 2025).
Distributed Memory Repository — Data and analysis code associated with "Distributed Cortical Regions for the Recall of People, Places and Objects" (Kidder & Silson et al. 2024).
Task Regularities Repository — Source data and analysis code for "Rapid encoding of task regularities in the human hippocampus guides sensorimotor timing" (Poti & Nau et al., 2024).
Educational Materials
Programming for Psychologists — Complete course materials for the Research Master course at VU Amsterdam.
Eye Tracking Tips & Tricks — Practical advice for improving eye-tracking quality in neuroimaging environments.
University AI Guidance — Practical guidance on the ethical use of AI in academic and research settings.
Functional Imaging of the Medial Temporal Lobe — A neuroscientist's guide to fMRI pulse sequence optimization for the MTL.
fMRI Crash Course — Introductory slides on functional MRI concepts, preprocessing, and analysis.
Visual Field Mapping — Lecture slides on retinotopic mapping and population receptive fields.