All NWB conversions

Daniel O'Connor

Johns Hopkins University

Project started November 2021

Developed NWB conversion tools for the O'Connor lab's neuroscience datasets. The conversion pipeline integrates MATLAB-based data processing with Python-based NWB conversion workflows, enabling standardization of complex experimental data. The tools include specialized interfaces for handling MATLAB-generated data structures and converting them into the NWB format.

Data and methods
Mousebehavioral trackingelectrophysiology
Conversion code
oconnor-lab-to-nwb
Published datasets
Related work

Marshall Hussain Shuler

Johns Hopkins University

Developed NWB conversion tools for the Shuler lab's electrophysiology and behavioral datasets. The conversion pipeline integrates SpikeGLX recordings with behavioral event data, including specialized tools for data synchronization and cloud-based spike sorting workflows. The tools support comprehensive metadata handling through standardized JSON and CSV formats.