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We address a question on the effect of common stochastic inputs on thecorrelation of the spikes trains of two neurons when they are possiblynonidentical and are coupled through direct connections. We show that thechange in the correlation of low amplitude stochastic inputs can be betterdetected when the neurons are connected by direct excitatory couplings.Depending on whether the neurons are identical or they are slightly different,symmetric or asymmetric connections can increase the sensitivity of the systemto the input correlation by changing the mean slope of correlation transferfunction over a given range of input correlation. In either case, there is alsoan optimum value for synaptic strength which maximizes the sensitivity of thesystem to the changes in input correlation.

Direct coupling and inhomogeneity assist neurons to detect correlation in low amplitude noises