Modularization of reservoir computing networks for the recognition of brainstates

Abstract

[en] This project consisted of the research, study and modularization of a complex neural network, consisting of one or several reservoir computing modules. This is performed by means of Python scripts, aiming at learning in a way inspired on how the human brain does. The manucript starts with a theoretical introduction describing basic concepts of complex networks, listing their types and applications, so that the reader can understand how we have used the idea for the development of the script. The second part describes the process and impact of the modularization modules first described, and the comparison with the non-modularized program.