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The brain network is notably cost-efficient, while the fundamental physical and dynamic mechanisms underlying its economical optimization in network structure and activity have not been determined. In this study, we investigate the intricate cost-efficient interplay between structure and dynamics in biologically plausible spatial modular neuronal network models. We observe that critical avalanche states from excitation-inhibition balance under modular network topology with less wiring cost candoi:10.1093/nsr/nwab102 pmid:35355506 pmcid:PMC8962757 fatcat:grbovdstxfgazjsai6mdj3j2za