Figure 5.

Network topology extracted from the analysis. The matrix topology of the four datasets for which a nonzero connectivity was estimated is shown. The matrix entry is filled in by a black square wherever p_ij is nonzero. This therefore shows the presence of a connection but not its strength. In each case, the dataset is indicated by the corresponding symbol. a (solid black circle), A very sparse matrix (0.7% connection probability). However, only 19 neurons actually form a connected subgraph, yielding a connection probability of 13%. The strongest connections p_ij > 0.5 form a strongly interconnected subgraph of their own, here shown by slightly enlarged squares. See Results. b (solid red circle), The sparseness within the connected subgraph is 3.1%. Visible are horizontal and vertical striations indicating neurons with a high degree of incoming and outgoing connections, respectively. c (solid green circle), The sparseness within the connected subgraph is 5.5%. Visible are horizontal and vertical striations indicating neurons with a high degree of incoming and outgoing connections, respectively. d (solid cyan circle), The sparseness within the connected subgraph is 4.5%. Visible are horizontal and vertical striations indicating neurons with a high degree of incoming and outgoing connections, respectively.