NFTsim: Theory and Simulation of Multiscale Neural Field Dynamics
Fig 3
Simplified diagram of NFTsim’s call graph.
The execution of a simulation is controlled by the class Solver. Initial conditions are given in terms of firing rates Qb which are then propagated to other populations via Propagator. Synaptic connections are handled via Coupling. The incoming activity to postsynaptic Population undergoes dendritic dynamics via Dendrite. The sum of individual contributions Vab and the resulting firing response are handled by FiringResponse. The class Timeseries is used to represent external inputs Qx from a stimulus Population. Lastly, the class Outlet stores the variables that are written to the output file.