Fig. 6.

Sample activity rasters from surrogate data sets: examples of the 3 different types of surrogate data sets, each generated for 3 different experiments. For each experiment, we generated surrogate data sets based on the original pattern of activity and a randomly rewired correlation matrix (left), the original small-world correlation matrix (center), or a maximally clustered correlation matrix (right). Thus all 3 of the data sets in each row, which correspond to different network topologies, nevertheless have the same temporal level of total network activity, i.e., at each point in time, the same number of neurons will be active in all three networks. Each raster represents 600 s of data.