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The aim of this study is to investigate the role played by topology in complex networks of neurons working in noisy environment. Due to the presence of noise in real neurons environment a systematic study of how different topologies work in presence of noise is of great interest. To this purpose a software simulator was developed and numerical simulations of different topologies of populations of FHN neurons have been carried out. This work in an on-going project aimed at better understanding complex neuronal dynamics. Future efforts will be devoted to perform a systematic study of the dynamical effects of topology on synchronization.
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