All NWB conversions

Thomas Clandinin

Stanford University

Project started July 2023

Developed NWB conversion tools for the Clandinin lab's whole-brain imaging data in Drosophila, featuring volumetric two-photon calcium imaging during locomotion. The conversion pipeline includes specialized interfaces for handling complex imaging data formats including NiFTI files, with support for brain-wide neural activity mapping during behavioral tasks.

Data and methods
Fruit flycalcium imagingbehavioral trackingvisual processing
Conversion code
clandinin-lab-to-nwb
Published datasets
Funded under
SCPAB NWB Adoption
Related work

Andrew Leifer

Princeton University

Developed NWB conversion tools for the Leifer lab's C. elegans neural imaging datasets. The conversion pipeline handles complex whole-brain calcium imaging data combined with optogenetic stimulation, supporting systematic mapping of neural signal propagation across thousands of neuron pairs in the worm nervous system.

Ivan Soltesz

Stanford University

Developed NWB conversion tools for the Soltesz lab's neuroscience datasets. The tools facilitate the standardization of experimental data into the NWB format, supporting the lab's research in neural circuit dynamics and computational neuroscience.

Krishna Shenoy

Stanford University

Developed comprehensive NWB conversion tools for the Shenoy lab's diverse motor neuroscience datasets. The conversion pipeline handles multiple experimental paradigms including center-out reaching tasks, Neuropixels recordings in monkeys, and maze navigation tasks. Created analysis and visualization pipelines for examining neural population dynamics during reaching and delay activity in premotor cortex. The tools support both direct streaming from DANDI and local data conversion workflows.

Lisa Giocomo

Stanford University

Developed NWB conversion tools for the Giocomo lab's spatial navigation datasets, including tetrode and Neuropixel recordings from medial entorhinal cortex, and two-photon calcium imaging from hippocampal CA1. The conversion pipeline handles multi-modal data including neural recordings, virtual reality behavior, and head motion measurements.