All NWB conversions

Gyorgy Buzsaki

New York University

Project started November 2019

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.

Data and methods
Ratelectrophysiologybehavioral trackingspatial navigation
Conversion code
buzsaki-lab-to-nwb
Published datasets
Funded under
Ripple U19
Related work

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.

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.

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.

Christine Constantinople

New York University

Developed comprehensive NWB conversion tools for the Constantinople lab's diverse neuroscience datasets. The conversion pipeline handles multiple data streams including fiber photometry recordings and electrophysiology data, with support for both processed behavioral data and spike sorting. The tools include specialized extractors and interfaces for different experimental paradigms, along with extensive metadata handling through YAML configuration files.