TY - JOUR

T1 - Artificial intelligence-based neurofeedback

AU - Plotnikov, Sergei A.

AU - Lipkovich, Mikhail

AU - Semenov, Danila M.

AU - Fradkov, Alexander L.

PY - 2019/1/1

Y1 - 2019/1/1

N2 - 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.

AB - 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.

KW - Artificial intelligence (AI)

KW - Brain computer interface (BCI)

KW - Control

KW - Elec-troencephalography (EEG)

KW - Neural networks

KW - Neurofeedback

UR - http://www.scopus.com/inward/record.url?scp=85077627927&partnerID=8YFLogxK

U2 - 10.35470/2226-4116-2019-8-4-287-291

DO - 10.35470/2226-4116-2019-8-4-287-291

M3 - Article

AN - SCOPUS:85077627927

VL - 8

SP - 287

EP - 291

JO - Cybernetics and Physics

JF - Cybernetics and Physics

SN - 2223-7038

IS - 4

ER -