Before revision:  Applications to data from artificial andin vitro neuronal networks show that the proposed procedure performs fairly well when identifying relevant couplings, including the discrimination of their signs, with low computational cost.
After revision:  Applications to data from artificial andin vitro neuronal networks show that the proposed procedure identifies the presence/absence of synaptic couplings fairly well including their signs, with low computational cost.