- BRAINMATRIX - Multi-scale brain plasticity: From molecules to behaviour in life-long learning
- COBRA - Computing Brain Signals: Biophysical computations of electrical and magnetic brain signals
- DIGIBRAIN - Digital Brain: From genes to brain function in health and disease
BrainMatrix - Multi-scale brain plasticity: From molecules to behaviour in life-long learning
The overall goal of BrainMatrix is to link molecular mechanisms with systems level behavior. Computational models that span different temporal and spatial scales will be developed based on data from experimental recordings within the BrainMatrix consortium and supplemented with data from the Human Brain Project, Project Mind Scope (Allen Brain Institute) as well as other projects headed by consortium members. The predictions from these computational models will then be empirically tested using targeted experiments. For example, patch-clamp recordings and super resolution light microscopy can be used to investigate the regulation of proteases at the single-cell level, electrophysiology recordings and two photon laser scanning microscopy can investigate effects at the network level. This multi-scale model approach links molecular dynamics to the systems level of behavioral analyses, and these combined efforts will be used to understand how postnatal activity-dependent plasticity can refine neural networks.
COBRA - Computing Brain Signals: Biophysical computations of electrical and magnetic brain signals
The primary goal of COBRA is to develop reliable models and tools for interpreting electrical and magnetic brain signal measurements, and to explore how such data can be used in large-scale network simulations and analysis tools. Biophysical computational schemes will be developed based on biologically detailed neuron models and used to calculate the contributions of cortical neuron populations to the electric and magnetic signals measured in LFP, EEG, ECoG, and MEG*. These computational schemes will be validated against in-house experiments. Together with various collaborators, including the EU Human Brain Project and Project MindScope, the COBRA scheme will be compared with experimental data from mice and humans, used to explore how brain signals depend on the state and properties of cortical networks and neurons, and developed into a Python software package (CoBraPy) for use in large-scale network simulations and analysis tools.
Read more about COBRA in an informative and amusing article by Bjarne Røsjø in Titan.
DigiBrain - Digital Brain: From genes to brain function in health and disease
The goal of DigiBrain is to establish a pipeline for linking genetic information (e.g., gene variants linked to Schizophrenia) to systems-level measures of brain behaviour (e.g., EEG) in order to understand the mechanisms underlying brain diseases. To do this, multiscale computational modeling and targeted experimental animal studies will be conducted at the levels of neuron, neural networks and systems. This large-scale research project is a part of the Centre for Digital life Norway and brings together researchers from academia and industry in a special initiative investigating disease mechanisms at the level of single molecules and genes to whole cells to animal behavior and how this behavior can be influenced by means of specially designed drugs.
More information about DigiBrain can be found here.
HBP - Human Brain Project: European Research Infrastructure to Decode the Human Brain
The EU Human Brain Project (HBP) is a large European brain research project aiming to advance neuroscience, medicine and brain-inspired technology where the use of methods from mathematics, computer science and physics are central (read more here). CINPLA is involved in several of the 12 subprojects (SPs) of HBP, including SP4 Theoretical Neuroscience, SP6 Brain Simulation Platform, SP7 High Performance Analytics and Computing Platform, and SP11 Central Services (Education), as well as Co-Design Projects.
For more information contact Gaute T. Einevoll or Hans E. Plesser.
LFP - local field potential (low-frequency electrical potentials recorded inside the brain in animals)
EEG - Electroencephalography (electrical potentials recorded at the scalp)
ECoG - Electrocorticography (electrical potentials recorded at the cortical surface)
MEG - magnetoencephalography (magnetic fields recorded outside the head)