Enabling multi scale data integration: Turning data to knowledge - Integrating multimodal data in a unifying brain model 

Enabling multi scale data integration: Turning data to knowledge - Multi-scale co-simulation of a brain model

Enabling multi-scale data integration: Turning data to knowledge - Tools and services for research data management in neuroscience

Enabling multi-scale data integration: Turning data to knowledge - Research Data Management, Hosting, and Sharing 

This lecture provides an introduction to optogenetics, a biological technique to control the activity of neurons or other cell types with light.

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

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

Learn how to create a standard intracellular electrophysiology dataset in NWB

Learn how to use the icephys-metadata extension to enter meta-data detailing your experimental paradigm

Learn how to build and share extensions in NWB

Learn how to build custom APIs for extension

Learn how to handle writing very large data in PyNWB

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

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

Learn how to create a standard intracellular electrophysiology dataset in NWB

Learn how to handle writing very large data in MatNWB

Overview of the Braintorm package for analyzing extracellular electrophysiology, including preprocessing, spike sorting, trial alignment, and spectrotemporal decomposition

Overview of the CaImAn package, and demonstration of usage with NWB

Overview of the SpikeInterface package, including demonstration of data loading, preprocessing, spike sorting, and comparison of spike sorters

Overview of the NWBWidgets package, including coverage of different data types, and information for building custom widgets within this framework