Figure 10
High CV-gNa displaces the network coupling requirements to support synchrony in networks with heterogeneous connection probability. (A) Graphical representation of a representative Scale-Free like network structure of N = 200 excitatory neurons. Visualization generated in Gephi v0.9.2 https://github.com/gephi/gephi/releases. (B) Histogram of the number of target excitatory neurons for each excitatory neuron in the network shown in A, exhibiting the heavy tailed distribution characterizing scale free networks. (C) Representative raster plots of m = 12 networks with CV-gNa = 0.53 (top) or 0.10 (bottom) and mean 67.3 pS/µm2. Note in 0.53 CV-gNa network, transient synchrony observable in neurons with low index (high out-degree neurons) which grows over ~ 100 ms but is dissipated shortly after reaching peak while the 0.10 CV-gNa network maintains network wide synchrony. (D) IEI-Clustering (Top), PC (Middle) and F (Bottom) resulting from sweeping from m = 0 to 30 neurons, showing similar to WS networks investigated in 3.6 CV-gNa = 0.10 networks have lower network requirements (here m) required to support neuronal synchrony. Again, similar to WS networks, F in the 0.53 CV-gNa networks is sensitive to altering network connectivity while the F in the 0.10 CV-gNa networks is insensitive.
