Supplementary Figure 14: Synchronization dynamics of an attractor network in silico.
From: A novel pyramidal cell type promotes sharp-wave synchronization in the hippocampus
a) Matrix of network raster plots for different network configurations with varying cell-type composition and synaptic weight. Each tile of the matrix depicts 15 s of simulation time (x-axis) for a network of 1000 neurons (y-axis). The transition from the asynchronous regime to the partial synchrony regime is a function of increasing synaptic weight as well as the proportion of bursting cells in the network. b) Tabular summary of network parameters used for the partial synchrony regime. JE = 3 nA/ms, and p = 0.1 are default parameters for the simulation results reported in the figures, if not specified otherwise c) Summary data across all simulations illustrating the increasing synaptic weight on the frequency of synchronization events for networks with different proportions of excitatory cells from (a). d) Summary data across all simulations illustrating how the proportion of bursting cells in the network influences the size (i.e. number of active cells) for each synchronization event as a function of synaptic weight.
