Software Solutions
CatalystNeuro develops software solutions across the data pipeline aimed to help neuroscientists focus on the science and accelerate their discovery process immediately. We release and support packages for data homogenization, visualization, analysis, and lab-wide records. These libraries are developed by a team that focuses specifically on neural data and good software practices. Our projects are packaged, documented, and tested for robustness and ease of use. Everything we build is released as it is developed under a permissive license. We commonly work with labs to customize these software solutions to the specific needs of the lab, interfacing our platforms with their data formats and analysis packages.
NWB Graphical User Interface for Data Entry
NWB GUIDE is a desktop app that provides a no-code user interface for converting neurophysiology data to NWB.
NeuroConv
Automatically convert neurophysiology data to NWB
NeuroConv is a Python package for converting neurophysiology data in a variety of proprietary formats to the Neurodata Without Borders (NWB) standard. Features: Reads data from 40 popular neurophysiology data formats and writes to NWB using best practices. Extracts relevant metadata from each format. Handles large data volume by reading datasets piece-wise. Minimizes the size of the NWB files by automatically applying chunking and lossless compression. Supports ensembles of multiple data streams, and supports common methods for temporal alignment of streams.
NWB Inspector
NWB Inspector is a Python-based package designed to asses the quality of Neurodata Without Borders (NWB) files and based on compliance with Best Practice. This tool is meant as a companion to the PyNWB validator, which checks for strict schema compliance. In contrast, this tool attempts to apply some commonsense rules and heuristics to find data components of a file that pass validation, but are probably incorrect, or suboptimal, or deviate from best practices.