Human brain state monitoring in perceptual decision-making tasks

Abstract

The purpose of this review is to observe the current state of research on sensorimotor integration in the human brain during visual perception and subsequent decision-making under conditions of ambiguous information. Methods. This review examines the approaches of time-frequency wavelet analysis for brain activity when performing perceptual tasks, as well as the possibility of using such methods in the tasks of constructing brain – computer interfaces. Results. Electroencephalographic markers of increased attention during the perception of visual stimuli have been identified. Based on their we created brain – computer interfaces, which can monitor and control attention using biological feedback. Conclusion. We shown that the speed and correctness of our decisions depends on the quality of sensory evidence. Ambiguous sensory information requires more time to process, more attention and increases the probability of error. The use of neurointerfaces has shown that the brain’s resource is limited, and it is not maintained at a constant level – the time intervals of heightened attention alternate with the recovery period. 

Keywords

• partical directed coherence
• coupling
• nonlinearity
• nonlinear systems
• nonlinear coupling
• high–dimensional system