NWB:N 2.0

About

Neurodata Without Borders: Neurophysiology (NWB:N) is a data standard for neurophysiology, providing neuroscientists with a common standard to share, archive, use, and build common analysis tools for neurophysiology data. NWB:N provides interoperable APIs in python and MATLAB and supports specific meta-data structures for storing a variety of neurophysiology data including from intracellular and extracellular electrophysiology experiments, optical physiology experiments, as well as tracking and stimulus data.

NWB:N 2.0 has been submitted to INCF for endorsement and is now open for community review, which is an important step in our endorsement process. You can read and comment on the NWB:N 2.0 standard on our F1000 channel - your feedback is important!

Learn more: https://neurodatawithoutborders.github.io/

Links

TrainingSpace lectures
NWB webpage

Similar standards

NIX

Supporting software

NWB:N APIs

PyNWB enables read, write, use, extend, and analyze data stored in NWB:N using the Python https://neurodatawithoutborders.github.io/pynwb
MatNWB generates Matlab classes for representing NWB:N neurodata_types directly from the YAML specification https://neurodatawithoutborders.github.io/matnwbemb

Analysis and visualization tools

https://neurodatawithoutborders.github.io/tools

Usage scenario

Use NWB:N for you neurophysiology data if you want to share, archive, use, and build common analysis tools for:
- Extracellular electrophysiology data
- Intracellular electrophysiology data
- Optical physiology data (e.g. calcium and voltage imaging)
- Behavior tracking data
- Sensory stimuli and neuro-modulatory stimuli data
Add support for any type of neurophysiology using extensions