Wellington Pinheiro Dos Santos, Vincenzo Conti, Orazio Gambino, Ganesh R. Naik
Frontiers in Neurorobotics, Volume 17, Pages 1191045, Publisher Frontiers Media SA, Journal Ranking Q2, Impact Factor 3.1
Publication year: 2023


A set of disruptive technologies, such as Computational Intelligence, Pervasive Computing or Internet of Things, Robotics and Biotechnology characterize the IV Industrial Revolution. These technologies allow for an increase in productivity and economic complexity, modernizing the production of high-added value goods and services in the leading economies of the globe but also opening up important opportunities for emerging nations in areas such as Neuroscience applications or Computational Neuroscience.

Evolutionary Computing and Deep Learning allow the construction of increasingly accurate expert systems with greater learning and generalization capabilities. When applied to Neuroscience, these advances open up more possibilities for understanding the functioning of the nervous system and the dynamics of nervous diseases, as well as constructing models of learning machines that are increasingly accurate and capable of dealing with complex problems, such as computer vision and complex pattern recognition tasks.

Advances in Computational Intelligence, especially new methods, algorithms, and computational architectures, allow the realization of complex tasks, such as the construction of customized diagnostic and treatment methods for diseases of the nervous system, the structure of intelligent prostheses, and more precise brain-machine interfaces; the identification of emotions and the diagnosis of mental disorders through automated analysis of signals of various types, and other applications.