Abstract
In this paper, we first explain basic concepts of complex networks, which have attracted broad interests in the last decade. Then, we introduce a recent study on the relation between spike-timing-dependent plasticity and the emergent structure of neural networks. Synaptic plasticity facilitates formation of feedforward structure in neural networks with pacemakers, and it lessens the threshold for frequency synchrony in comparison to the case of networks with quenched synapses.
