Estimation of the mutual information between ISI's can be a useful tool to characterize dependencies in small neuronal networks. We introduce here a method to compute the mutual information of coupled model neurons by employing the copula function describing the dependence between the spiking distributions.
Estimation of information measures in coupled diffusion neuronal models
GIRAUDO, Maria Teresa;SACERDOTE, Laura Lea;SIROVICH, ROBERTA;ZUCCA, CRISTINA
2011-01-01
Abstract
Estimation of the mutual information between ISI's can be a useful tool to characterize dependencies in small neuronal networks. We introduce here a method to compute the mutual information of coupled model neurons by employing the copula function describing the dependence between the spiking distributions.
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