DEVELOPMENT OF NEURAL NETWORK APPLICATIONS OF BRAIN-COMPUTER INTERACTION BASED ON THE STABLE DIFFUSION MODEL

UDC 519.6
DOI: 10.36871/2618-9976.2023.07.005

Authors

Eugene Yu. Shchetinin,
Doctor of Physical and Mathematical Sciences, Professor, Financial University under the Government of the Russian Federation, Moscow, Russia

Abstract

This paper investigates neurotechnologies for developing braincomputer interaction (BCI) based on the generative deep learning Stable Diffusion model. An algorithm for modeling BCI is proposed, its training and testing on artificial data are described. The results are encouraging for researchers and can be used in various areas of BCI, such as distance learning, remote medicine, etc.

Keywords

neural network technologies, brain-computer system, stable diffusion