Editorial: Machine learning and applied neuroscience

Wellington Pinheiro dos Santos, Vincenzo Conti, Orazio Gambino, Ganesh R. Naik

Research output: Contribution to journalEditorial

1 Citation (Scopus)
30 Downloads (Pure)

Abstract

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...
Original languageEnglish
Article number1191045
Number of pages2
JournalFrontiers in Neurorobotics
Volume17
DOIs
Publication statusPublished - 6 Apr 2023

Keywords

  • applied neuroscience
  • artificial neural network
  • Computational Intelligence (CI)
  • Computational Neuroscience
  • neuroengineering

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