Selecting appropriate surrogate methods for spike correlation analysis

Abstract

The article discusses a study which aims to develop selection criteria for suitable surrogate methods when evaluating the significance of correlations. It determines data sets exhibiting different statistical features found in experimental data. It suggests the need to test the chosen method on synthetic data which is similar to the experimental data, but does not contain the feature being tested for.