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This work is concerned with the applicability of mutual information as a measure of relevance in neural coding. We give a detailed overview of common approaches to the application of information-theoretic measures in neuroscience. In order to create an environment that allows for the analysis of mutual information, we generate synthetic spike trains based… (More)


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