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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.
SimTB
Offers a platform able to simulate functional magnetic resonance imaging (fMRI) datasets. SimTB aims to facilitate the testing of several analytic method thanks to a model of spatiotemporal separability. The application can be run through both a graphic or a command line interface according to the users’ needs. The program contains several functionalities such as a multiple visualization of parameters and tissue maps or an automated source matching between simulated and estimated spatial maps (SMs) derived from an analysis.
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