This project, led jointly by the Neuroinformatics Unit (NIU) at UCL, the Allen Institute, and the International Brain Laboratory (IBL), aims to build sustainable, general-purpose software infrastructure for systems neuroscience. The collaboration focuses on developing tools that allow researchers to more easily compare analysis pipelines and build flexible workflows for large-scale behavioural and imaging datasets.

Two priority developments will be pursued. The first is PoseInterface, a general-purpose framework for running and comparing video analysis pipelines, including pose estimation tools such as LightningPose. The second is the development of a modular multiphoton imaging framework, conceptually analogous to SpikeInterface, which will provide standardized infrastructure for constructing and benchmarking imaging processing pipelines.

These tools will be developed collaboratively and tested on real experimental datasets, with the goal of integrating them into existing neuroscience workflows where appropriate. By building reusable, open-source infrastructure and promoting community contributions, the project aims to reduce duplication across neuroscience software ecosystems and support the development of flexible, interoperable, and maintainable data-processing tools for the broader neuroscience community.