CatalystNeuro is a research software engineering consultancy that helps neuroscience labs share their data and software with the broader scientific community. We specialize in data standardization through Neurodata Without Borders (NWB), collaboration with the DANDI Archive, and development of analysis tools that make working with neurophysiology data easier.

Neuroscience data is becoming larger and more complex every day. The data we collect and the software we write can be valuable well beyond the scope of the original project, but sharing these resources effectively is a high bar for individual labs to reach on their own. We help bridge that gap, handling the data engineering challenges so researchers can focus on the science.

We believe that effective packaging and sharing of data and software will enable new scientific workflows that build upon and combine existing studies, leading to deeper understanding of the brain and faster discovery of treatments for neurological disorders.

CatalystNeuro is a globally distributed team of neuroscientists who are also software developers. We care deeply about helping neuroscience adopt modern data engineering practices. We work closely with labs to convert their data to standardized formats, and we collaborate with tool developers to improve usability and adoption. See our team here.

We work collaboratively on open source projects, and many of the tools we contribute to live in other GitHub organizations. Here are some of the projects we develop and maintain:

Data standardization and sharing

• NeuroConv: Automates conversion of data from common formats into NWB for distribution on the DANDI Archive.
• NWB Inspector: Validates NWB files against best practices and the NWB schema to ensure data quality.
• NWB GUIDE: A user-friendly graphical interface for converting data to NWB without writing code.

Visualization

• NWB Widgets: Automatic, interactive visualizations of NWB data, integrated with DANDI.
• neurosift: Browser-based interactive visualizations for exploring NWB files and DANDI datasets.

Analysis tools

• SpikeInterface: A community-driven unified framework for spike sorting electrophysiology data.
• VAME: Variational Animal Motion Encoding for analyzing behavioral videos.
• voluseg: Segmentation of volumetric calcium imaging data.
• GuPPY: Analysis of fiber photometry data.

Emerging work

• torch_brain: Foundation models for neurophysiology data.

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