Artificial intelligence-based neurofeedback

Sergei A. Plotnikov, Mikhail Lipkovich, Danila M. Semenov, Alexander L. Fradkov

Research output


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
Issue number4
Publication statusPublished - 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

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