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Introduction to Neurodata Without Borders (NWB) for Python users I

The Neurodata Without Borders: Neurophysiology project (NWB, https://www.nwb.org/) is an effort to standardize the description and storage of neurophysiology data and metadata. NWB enables data sharing and reuse and reduces the energy-barrier to applying data analytics both within and across labs. Several laboratories, including the Allen Institute for Brain Science, have wholeheartedly adopted NWB. The community needs to join forces to achieve data standardization in neurophysiology.

 

This course will provide an introduction to NWB and walk through tutorials on how to use NWB software tools to store different types of data in NWB. This course is intended for Python users. It is recommended that users view What is NWB first, then take 1 to 2 of the other Introductory courses before moving on to Introduction to Neurodata Without Borders (NWB) for Python users II. There is also a version of this course for MATLAB users.

Course Features
What is NWB, with short introduction to NWB-enabled tools
Introduction to NWB for extracellular electrophysiology
Introduction to NWB for optical physiology
Introduction to NWB for intracellular electrophysiology
Lessons of this Course
1
2
Duration:
29:53

NWB: An ecosystem for neurophysiology data standardization

2
3
Duration:
45:46
Speaker:

Learn how to create a standard extracellular electrophysiology dataset in NWB using Python

3
4
Duration:
31:04
Speaker:

Learn how to create a standard calcium imaging dataset in NWB using Python

4
5
Duration:
20:23
Speaker:

Learn how to create a standard intracellular electrophysiology dataset in NWB