Blue Brain Portal

Welcome to the Blue Brain Portal – a knowledge space for simulation neuroscience

Resources

Models

Software

Online Tools

Data

Online Learning

Publications

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Models

Multi-scale models of the rat and mouse brain integrate models of ion channels, single cells, microcircuits, brain regions, and brain systems at different levels of granularity (molecular models, morphologically detailed cellular models, and abstracted point neuron models).

Online Tools

The online tools available to assist users with simulation neuroscience are a collection of platforms and atlases from the Blue Brain and our collaborators.

Online Learning

Simulation Neuroscience is an emerging approach to integrate the knowledge dispersed throughout the field of neuroscience.

Software

Blue Brain’s reconstruction and related simulations are made possible by a comprehensive software ecosystem for each step in the reconstruction and simulation process. Blue Brain systematically releases open source software.

Data

Data is of vital importance to the study of the Brain.  For neuroscientists in this section, there are ion channel recordings, morphological reconstructions, electrical recordings from neocorticol neurons and molecular properties of neurons.  These are available on Blue Brain platforms and the Human Brain Project Brain Simulation platform.

Publications

Blue Brain has published 170 peer-reviewed scientific papers in international journals.

News and Announcements

The Blue Brain Project News

Blue Brain Nexus Forge: Building and using Knowledge Graphs made easy

— A deluge in digital data, the trend for cross-disciplinary and multi-modal scientific investigations along with the tremendous computing power now available, has led to team based, data-driven and data-intensive methods commonly used in science. These advances also come with a set of challenges summarized in the FAIR (1) guiding principles for research data management – make heterogeneous data generated from different contexts, Findable, Accessible, Interoperable and Reusable. Accordingly, Knowledge Graphs have become the go-to key solution across both research and industry to address these challenges.

A new data format to efficiently describe large-scale network models

— The increase in the availability of comprehensive experimental datasets and of high-performance computing resources are driving rapid growth in the scale, complexity, and biological realism of computational models in neuroscience. Accordingly, to support construction and simulation, as well as the sharing of such large-scale models, a broadly applicable, flexible, and high-performance data format is necessary.

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