Spalloc

The SpiNNaker Allocation Service (Spalloc) allows the board of the SpiNNaker 1Million machine to be split up into user allocations of groups of a number of connected boards. These boards are isolated from the rest of the machine by the service, ensuring that one user’s simulation does not interfere with another. The service allows users to log in using EBRAINS usernames and passwords to see and control their existing allocations. The service also provides a proxy connection to the boards using websockets, which allows the allocation to be used from anywhere in the world. This is used by the SpiNNaker software to enable access to the machine from the EBRAINS Jupyter lab.

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siibra-explorer

siibra-explorer is built around an interactive 3D view of the brain displaying a unique selection of detailed templates and parcellation maps for the human, macaque, rat or mouse brain, including BigBrain as a microscopic resolution human brain model at its full resolution of 20 micrometres.

Collaboratory

The EBRAINS Collaboratory offers researchers and developers a secure environment to work with others. You control the level of collaboration by sharing your projects with specific users, teams or all of the Internet. Many researchers are sharing their work already; several services, tools, datasets and other resources are publicly available, and many more are available for registered users.

MeshView

MeshView is a web application for real-time 3D display of surface mesh data representing structural parcellations from volumetric atlases, such as the Waxholm Space Atlas of the Sprague Dawley Rat Brain. MeshView is available as an EBRAINS community app, accessible via a collab (further info: https://wiki.ebrains.eu/bin/view/Collabs/image-registration-and-analysis-demo/) Key features: orbiting view with toggleable opaque/transparent/hidden parcellation meshes rendering user defined cut surface as if meshes were solid objects rendering point-clouds (simple type-in, or loaded from a JSON format) coordinate system is compatible with QuickNII (https://www.nitrc.org/projects/quicknii)

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