
NeuroConv
A powerful utility that streamlines the conversion process from various proprietary neurophysiology data formats to NWB. Supporting multiple data types and formats, NeuroConv makes data standardization accessible and efficient.
We develop open-source tools to make neurophysiology data management and standardization accessible to all researchers.

A powerful utility that streamlines the conversion process from various proprietary neurophysiology data formats to NWB. Supporting multiple data types and formats, NeuroConv makes data standardization accessible and efficient.

A user-friendly graphical interface that offers a code-free solution for converting neurophysiology data to NWB format. Perfect for researchers who prefer a visual approach to data conversion and management.

A comprehensive tool that scans NWB files for potential errors and areas of improvement. It performs automated validation checks, generates detailed reports, and provides suggestions for optimizing your neurophysiology data files.

The MATLAB API for reading and writing NWB files. MatNWB generates MATLAB classes from the NWB schema, including any neurodata extensions, so labs that analyze their data in MATLAB can create, read, and validate NWB files without switching languages. Eivind Hennestad on our team is its lead developer.
Community extensions to the NWB schema for specialized data types.
NWB extension for localizing objects (e.g. electrodes) against a reference image (e.g. CCF). Provides a standardized way to store coordinates of objects with respect to a reference space, supporting multiple localizations in the same file that may correspond to different spaces or registration methods.
GitHubNWB extension to store binned spikes (e.g. a non-averaged PSTH) with respect to time events. Designed to store counts of spikes around a set of events like stimuli or behavioral events, with support for multiple conditions and unit-specific data organization.
GitHubNWB extension for storing fiber photometry data. Provides neurodata types to capture the full experimental setup—including excitation sources, photodetectors, optical fibers, dichroic mirrors, and indicators—alongside the recorded fluorescence response series, enabling standardized and reproducible representation of fiber photometry experiments.
GitHubNWB extension for sounds. Provides tools to store acoustic waveform series in NWB files and includes visualization widgets for both static and interactive display of sound data with waveform, spectrogram, and playback capabilities.
GitHubGuides to sharing neurophysiology data with NWB and DANDI, sending data to us, and working through an NWB adoption engagement.