NWB:N
About
Neurodata Without Borders (usually abbreviated NWB, formally referred to as NWB:N) is a data standard for neurophysiology, providing neuroscientists with a common standard to share, archive, use, and build analysis tools for neurophysiology data. NWB is designed to store a variety of neurophysiology data, including data from intracellular and extracellular electrophysiology experiments, data from optical physiology experiments, and tracking and stimulus data. NWB exists in an ecosystem, which includes data management, analysis, visualization, and archive tools. Thus, the NWB data language enables reproduction, interchange, and reuse of diverse neurophysiology data.
Learn more about NWB on their website and connect with the NWB community on Slack and Twitter.
Links
TrainingSpace lectures Intro to NWB NWB webpageSimilar standards
NIXSupporting software
1. PyNWB (Python API)
2. MatNWB (MATLAB API)
3. Analysis and visualizations tools integrated with NWB
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NWB Explorer for interactive exploration of NWB files
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SpikeInterface for building spike sorters
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CellExplorer for exploring and classifying cells from extracellular electrophysiology experiments
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Neo: provides a uniform data access API across electrophysiology formats
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CaImAn for image segmentation of optical physiology data
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suite2p for image segmentation of optical physiology data
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CIAtah for image segmentation of optical physiology data
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EXTRACT for image segmentation of optical physiology data
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MIES for collecting intracellular electrophysiology data
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PatchView for analyzing intracellular electrophysiology data
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DeepLabCut for automatic pose estimation
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SLEAP for automatic pose estimation
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pynapple for neurophysiology data analysis
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ElecFeX MATLAB-based electrophysiological feature extraction toolkit
4. NWB Example datasets
5. DANDI Archive for sharing NWB data
6. DANDI Archive user guide
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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