Recent papers by D. Chklovskii and E.M. Izhikevich suggest that wiring costs may play a significant role in the physical layout and function of neuronal structures. About eighty years ago, in his paper on the relationship between diameter and branching angles in trees, C.D. Murray proposed the volume as the cost function which dictates growth. O. Shefi et al. grafted this idea into neuroscience as a possible optimisation mechanism. Our paper presents computational experiments on the impact of wiring cost functions proposed by D. Chklovskii and O. Shefi et al. when applied to interneuronal connections in small ML neuronal networks.