All NWB conversions

Ivan Soltesz

Stanford University

Project started November 2019

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.

Data and methods
Mouseelectrophysiologybehavioral tracking
Conversion code
soltesz-lab-to-nwb
Funded under
Ripple U19
Related work

Mark Schnitzer

Stanford University

Developed NWB conversion tools for the Schnitzer lab's in vivo calcium imaging datasets. The conversion pipeline handles data from miniaturized microscopes (miniscopes) and fiber photometry recordings, including behavioral measurements during freely moving animal experiments. The tools support both one-photon and two-photon calcium imaging data, with specialized interfaces for motion correction and cell segmentation outputs.

Attila Losonczy

Columbia University

Developed NWB conversion tools for the Losonczy lab's two-photon calcium imaging datasets. The conversion pipeline handles data from head-fixed mice running on voluntary treadmills, including raw ROI images, DfOverF traces, fluorescence traces, and behavioral measurements. The tools support molecular identification of interneuron subtypes and integrate position tracking with neural activity data.

Gyorgy Buzsaki

New York University

Developed NWB conversion tools for the Buzsáki lab's extensive neurophysiology datasets, handling terabyte-scale data including Neuroscope recordings, LFP signals, and behavioral measurements. The conversion pipeline features specialized interfaces for various data types and supports parallel processing for large-scale conversions, with datasets publicly available through DANDI.

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.