Incorporating brain-computer interfaces (BCIs) into daily life requires reducing the reliance
of decoding algorithms on the calibration or enabling calibration with the minimal burden on …

The use of artificial intelligence technologies in Russian healthcare is a priority area for
implementing a national strategy for the development of artificial intelligence in the country …

We trained an artificial neural network (ANN) to distinguish between correct and erroneous
responses in the perceptual decision-making task using 32 EEG channels. The ANN input …

The landscape of neurorehabilitation is undergoing a profound transformation with the
integration of artificial intelligence (AI)-driven robotics. This review addresses the pressing …

We study the specific features of the organization of the functional brain networks of children
with autism spectrum disorder (ASD) by analyzing at the source level the data obtained in …

One must be aware of the black-box problem by applying machine learning models to
analyze high-dimensional neuroimaging data. It is due to a lack of understanding of the …

Abstract In this context, Fuzzy Fractional Order Proportional Integral Derivative (FOPID-FLC)
controllers are emerged as efficient approaches due to their flexibility and ability to handle …

This article presents a systematic review of studies on cognitive training programs based on
artificial cognitive systems and digital technologies and their effect on executive functions …

Brain–computer interfaces (BCIs) can revolutionize how humans interact with technology,
but several scientific and technological challenges must be addressed to realize their full …

The purpose of this research is to examine and assess the relation between a pilot's
concentration and reaction time with specific brain activity during short-haul flights …