The Blue Brain Project’s strategy hinges on two key elements.
The first is the creation of software tools and workflows that integrate the complete process of building and simulating digital reconstructions of the brain – from the acquisition of data from neuroscience experiments and the literature through the databasing and analysis of this data to model-building, simulation and the analysis and visualization of the results. This has required the creation and continuous updating of the BBP’s supercomputing infrastructure, which is used in every aspect of the project’s activity including neuroinformatics, digital reconstruction of neural tissue, simulation, data analysis and scientific visualization
The second element in the strategy is the systematic search for basic principles of design that make it possible to predict specific features of the brain from interdependencies inherent in the anatomy and physiology of the brain, reflected in the experimental data. Examples include prediction of the distribution of ion channels from neurons’ electrical behavior, and the prediction of microcircuit connectivity from data on neuron morphologies and densities.