TRENTOOL is implemented as a MATLAB toolbox and available under an open source license (GPL v3). TRENTOOL is an implementation of transfer entropy and mutual information analysis that aims to support the user in the application of this information theoretic measure. No false positive interactions in the reverse directions were detected. In the LFP data we found directed interactions from the retina to the tectum, despite the complicated signal transformations between these stages. In simulated data TE detected information flow in the simulated direction reliably with false positives not exceeding the rates expected under the null hypothesis. We demonstrate the use of the toolbox and the performance of the algorithm on simulated data with nonlinear (quadratic) coupling and on local field potentials (LFP) recorded from the retina and the optic tectum of the turtle (Pseudemys scripta elegans) where a neuronal one-way connection is likely present. Here we present the open-source MATLAB toolbox TRENTOOL that allows the user to handle the considerable complexity of this measure and to validate the obtained results using non-parametrical statistical testing. This allows for example the comprehensive analysis of directed interactions in neural networks at various levels of description. Hence, it offers the power to analyze linear and nonlinear interactions alike. ![]() It offers an approach to the detection of neuronal interactions that is free of an explicit model of the interactions. ![]() Transfer entropy is an information theoretic implementation of Wiener's principle of observational causality. Transfer entropy (TE) is a measure for the detection of directed interactions.
0 Comments
Leave a Reply. |
Details
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |