Materials, tutorials, and documentation
Everything the school teaches is built on public data and open software. Most of these links are usable without attending.
Program materials
Code, tutorials, and slides produced for and during the school.
Tutorials, notebooks, and project templates from every installment, in the NWB hackathons repository.
Every recording from the 2025 and 2026 installments, filterable by year and topic.
Tutorials you can run now
Notebooks that open directly in a cloud environment, no installation required.
Open a Dandiset, stream a file without downloading it, and read the core data types.
Executable tutorials for the Allen Institute OpenScope datasets, from data access to analysis.
Community-contributed notebooks for individual Dandisets.
Data standards and archives
Start here if NWB is new to you.
Installation and tutorials for the Python API.
Analysis tools taught at the school
Spike sorting and extracellular electrophysiology analysis.
Time series analysis for neurophysiology.
Generalized linear models for neural data.
Calcium imaging processing, dimensionality reduction, behavior, and segmentation.
NWB plus DataJoint for reproducible analysis pipelines.
Neural foundation models, including POYO.
Browse Dandisets and visualize NWB files in the browser.
Pre-course preparation
Accepted participants receive a skills assessment and personalized recommendations from these free NeuroHackademy lectures, each about ninety minutes. All NeuroHackademy recordings are on the UW eScience Institute YouTube channel.
Kelly Chang, NeuroHackademy 2025
Noah Benson, NeuroHackademy 2025
John Kruper, NeuroHackademy 2025
Kelly Chang, NeuroHackademy 2024
Ariel Rokem, NeuroHackademy 2025
Ariel Rokem, NeuroHackademy 2025
The UW eScience Institute channel, where every NeuroHackademy year is a playlist.