Community

Community Gallery

This page is a collection of community conversion and analysis projects cataloged here as a convenient reference for NWB users. This list is not comprehensive and many of the projects and resources are built and supported by other groups, and are in active development.

Teaching with NWB

Open data and standardized formats like NWB are valuable resources for transforming neuroscience education by providing students with access to real, high-quality datasets from leading research laboratories. The NWB format offers several key advantages for educational settings:

  • Teach with Real Data: Give students hands-on experience with actual experimental data from leading laboratories rather than simulated datasets
  • Standardized Structure: Students learn a consistent data format with rich metadata that they’ll encounter in research settings
  • Multi-Modal Data: Access datasets combining electrophysiology, imaging, behavior, and other modalities in a single format
  • Software Ecosystem: Extensive tools and libraries for reading, writing, and analyzing NWB data in Python and MATLAB
  • Promote Reproducibility: Teach best practices in data management, documentation, and reproducible research from the start
  • Community Support: Active community providing documentation, tutorials, and support for educators and learners

The NWB team is committed to supporting educators. If you have questions about using NWB in your teaching or would like to discuss educational initiatives, please contact us.