Published an article in the journal NeuroImage!

Article: «Representational dissimilarity component analysis (ReDisCA)».
Authors: Alexey Ossadtchi, Ilya Semyonkov, Anna Zhuravleva, Vladimir Kozunov, Oleg Serikov, Ekaterina Voloshina.

ReDisCA is a new method for analyzing brain activity. It allows you to compare how different systems process information, such as the human brain and artificial neural networks.
The method provides informative spatial filters and corresponding topographies, which helps determine the localization of "representatively relevant" sources in the brain. It is important to note that the method does not require reverse modeling, but its results are consistent with the EEG and MEG observation equations and can be used as input data for precise source localization procedures.

The data obtained using ReDisCA are not only of purely scientific interest, but can also be used to study the brain function of neurodifferent people.