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Can the topology of a recurrent spiking network be inferred from observed activity dynamics? Which statistical parameters of network connectivity can be extracted from firing rates, correlations and related measurable quantities? To approach these questions, we analyze distance dependent correlations of the activity in small-world networks of neurons with current-based synapses derived from a simple ring topology. We find that in particular the distribution of correlation coefficients ofdoi:10.1007/s10827-008-0135-1 pmid:19568923 pmcid:PMC2731936 fatcat:g7anmtuskjdgnjwuoqmepv22p4