A new approach to the design of neurofeedback systems based on using Artificial Intelligence (AI) tools is proposed. The concept of control models of biological neural networks, and the set-up including equipment and software tools developed in IPME RAS in order to implement the proposed concept is described. as well as the AI methods and programs proposed for use.

Original languageEnglish
Pages (from-to)287-291
JournalCybernetics and Physics
Volume8
Issue number4
DOIs
StatePublished - 1 Jan 2019

    Scopus subject areas

  • Signal Processing
  • Physics and Astronomy (miscellaneous)
  • Computer Vision and Pattern Recognition
  • Fluid Flow and Transfer Processes
  • Control and Optimization
  • Artificial Intelligence

    Research areas

  • Artificial intelligence (AI), Brain computer interface (BCI), Control, Elec-troencephalography (EEG), Neural networks, Neurofeedback

ID: 51959654