Black Hole algorithm with convolutional neural networks for the creation of a Brain-Switch using visual perception

Brain-switches are systems that allow a binary communication between the brain and the outside world without using the peripheral nervous system. These systems are of interest since they can be executed with high success asynchronously and, although the amount of information processed per time unit is low, they represent a first step towards a full Brain-Computer Interface system. In this work, the possibility of creating a Brain-Switch using visual perception has been studied. Using the Black Hole search heuristic algorithm and Convolutional Neural Networks (CNN) in time domain, we obtain an average of 86% in 36 subjects with a Cohen's kappa value of 0.73.