Mario Gonzalez received a Ph.D. in Computer Science from the Autonomous University of Madrid (UAM) in 2012. His doctoral research was carried out within the Research Group of Biological Neurocomputation of the Polytechnic School at UAM, participating in projects funded by the Ministry of Education and Science of Spain. He made a doctoral stay at the Faculty of Engineering of the University of Porto (FEUP), Portugal, funded by the EMECW Lot 20 program. He is currently a lecturer and researcher at Universidad de las Américas, Quito, Ecuador. He has published in the area of Artificial Intelligence, complex dynamic systems and information processing using neural networks. His field of expertise and experience are bioinspired computational systems of recurrent networks with dilute metric connection.
Increase attractor capacity using an ensembled neural network