Power-Law Scaling of Synchronization Robustly Reproduced in the Hippocampal CA3 Slice Culture Model with Small-World Topology
The hippocampal CA3 is a recurrent network included small-world topology. The percentage of co-active neurons in CA3 slice cultures is approximated by power-law. We show that the power-law scaling of synchronization is reproduced in the CA3 slice culture model where synaptic weights are log-normally distributed and balanced excitation/inhibition regardless of network topologies. However, small-world topology improves the robustness of the reproduction of the power-law scaling in the culture model. Power-law scaling is known as a sign of optimization of a network for information processing. These results suggest that CA3 may be robustly optimized for information processing by excitation/inhibition balance, log-normally distributed synaptic weights and small-world topology.
KeywordsHippocampal CA3 Synchronization Power-law scaling Log-normal distribution Excitation/inhibition balance Small-world topology
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