Reconstruction of network structures from repeating spike patterns in simulated bursting dynamics

9 Feb 2014Hao SongChun-Chung ChenJyh-Jang SunPik-Yin LaiC. K. Chan

Repeating patterns of spike sequences from a neuronal network have been proposed to be useful in the reconstruction of the network topology. Reverberations in a physiologically realistic model with various physical connection topologies (from random to scale-free) have been simulated to study the effectiveness of the pattern-matching method in the reconstruction of network topology from network dynamics... (read more)

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