Projects#
A summary of some of the projects lead by the Neuroinformatics Unit. Please also see our collaborations page for details of other work we do.
Neuroanatomy#
The BrainGlobe Initiative exists to facilitate the development of interoperable Python-based tools for computational neuroanatomy with three core aims:
Develop specialist software for specific analysis and visualisation needs
Develop core tools to help others to build interoperable tools in Python
Build a community of neuroscientists and developers to share knowledge, build software and engage with the scientific, and open-source community (e.g., by organising hackathons).
Behaviour#
Pose estimation tools (such as DeepLabCut and SLEAP) are now commonplace when processing video data of animal behaviour. There is not yet a standardised, easy to use way to process the pose tracks from these software packages.
movement aims to provide a consistent modular interface to analyse pose tracks, allowing steps such as data cleaning, visualisation and motion quantification. We aim to support a range of pose estimation packages, along with 2D or 3D tracking of single or multiple animals.
Electrophysiology#
Spikewrap simplifies the execution and visualisation of extracellular electrophysiology pre-processing and spike-sorting pipelines. Taking input organised to our NeuroBlueprint standard, it provides an easy and flexible way to process extracellular electrophysiology data from multiple subjects and sessions.
SpikeWrap is built upon SpikeInterface, abstracting away the implementation details to allow researchers to easily test different pipeline configurations.
Data Management#
NeuroBlueprint is a project folder structure specification designed for systems neuroscience in animal models. It is inspired by, and based on the BIDS specification, widely used in human neuroimaging.
The NeuroBlueprint specification provides a set of rules and guidelines for project folder organisation, ensuring consistent data management within and between labs. This standardisation makes data-sharing and collaboration much simpler, and allows sharing of analysis tools that can operate on predictable folder structures.
Developer Tools#
The Python Cookiecutter template allows quick and easy setup of new python projects. Projects built using this template contain pre-set configurations for code quality checks, formatting, automated testing (pytest, both locally and through GitHub Actions), versioning and release on PyPI.