Research publications and scientific contributions from the CatalystNeuro team.
Modern neurophysiology generates increasingly complex, multimodal datasets that require standardized formats for effective sharing and reuse. We present NeuroConv, an open-source Python library that automates the conversion of neurophysiology data from 47 distinct formats into NWB through a unified, modular architecture.
We introduce an AI-powered, agentic chat assistant and a notebook generation pipeline for exploring DANDI datasets. The system leverages large language models (LLMs) to guide users through data access, visualization, and preliminary analysis of NWB neurophysiology data.
Neurosift is a browser-based tool for exploring the DANDI Archive and visualizing NWB (Neurodata Without Borders) neurophysiology files. It provides interactive visualizations for various data modalities including electrophysiology, calcium imaging, and behavioral data.
The neurophysiology of cells and tissues are monitored electrophysiologically and optically in diverse experiments and species. Understanding the brain requires integration of data across this diversity, requiring data to be findable, accessible, interoperable, and reusable (FAIR). We describe design and implementation principles for a language for neurophysiology data through open-source software (Neurodata Without Borders, NWB).
