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The Virtual Brain

Simulates the dynamics of large-scale brain networks with biologically realistic connectivity. The Virtual Brain uses tractographic data (DTI/DSI) to generate connectivity matrices and build cortical and subcortical brain networks. The connectivity matrix defines the connection strengths and time delays via signal transmission between all network nodes. Various neural mass models are available in the repertoire of The Virtual Brain and define the dynamics of a network node. Together, the neural mass models at the network nodes and the connectivity matrix define the Virtual Brain. The Virtual Brain simulates and generates the time courses of various forms of neural activity including Local Field Potentials (LFP) and firing rate, as well as brain imaging data such as EEG, MEG and BOLD activations as observed in fMRI.


Permits to conduct Process S simulations in human for Slow-Wave Activity profiles. Aghermann allows to make description and differentiation of individuals sleepers. It can display ElectroEncephaloGram (EEG) and associated recordings such as ElectroOculoGraphy (EOG) and ElectroMyoGram (EMG). The tool outputs recordings in European Data Format (EDF) that can be stored on the platform and allows importation and exportation of scores in American Standard Code for Information Interchange (ASCII).