Resolution:
standard / ## Figure 1.
Functional connectivity of simulated neural mass model dynamics on a random structural
network. (A). The underlying 256 node random structural network. Here and in the following
figures, networks are represented by their square connectivity matrices, where row
and column indices correspond to nodes, and matrix entries correspond to connections
between individual nodes. (B). The emergent spatiotemporal dynamics: color represents
the state of individual dynamical units according to space (horizontal axis) and time
(vertical axis). (C). The resulting functional connectivity matrix, derived by linear
cross-correlation between the spatiotemporal dynamics from B and reordered to maximize
the visual appearance of modules (this reordering was also applied to A, with negligible
impact). Each dynamical unit represents the mean state of a local population of densely
connected inhibitory and pyramidal neurons, with conductance-based transmembrane ion
flows and zero-order synaptic kinetics. Full details of these dynamics are provided
in Breakspear et al. [33].
Rubinov |