Spyglass is a framework for reproducible and shareable neuroscience research.

Spyglass, an open-source Python framework using the NWB standard, enables reproducible neuroscience pipelines and cross-lab sharing of raw, intermediate, and final results.

• Why it matters: Neural data are often stored and analyzed with bespoke formats and software, which makes replication and reuse difficult and slows progress.
• What they did: Spyglass provides reproducible pipelines for spectral filtering, spike sorting, pose tracking, and neural decoding, and can extend to new pipelines across datasets.
• The result: In a cross-laboratory replication, advanced state space decoding applied to publicly available data demonstrates Spyglass’s shareable, re-analysable workflow.

AI summary of the abstract · may contain errors · not medical advice · read the paper.