Improving the Effectiveness of Learning with the Help of Neurocomputer Interface

The article considers modern technologies for reading signals from the human brain and nervous system selects optimal technology to improve efficiency of adult learning with help a neurocomputer interface. Existing brain-computer interfaces (BCI) can be divided into invasive non-invasive. first, BCIs, are neuroimplants in certain parts that work on basis electrocorticography (ECOG) or intracranial EEG (iEEG) do not require deep intervention structures; another based intracortical recording using implants electrodes placed closer signal source, required more complicate operation. second, non-invasive BCI, reads is electroencephalogram (EEG). Compared BCIs their accurate signal, transcranial communicate through skull bones, muscles, all tissues. Their use does body. To increase effectiveness training, there was chosen physiotherapeutic method electrical stimulation (TES) combination braincomputer interface electroencephalography (EEG), as most accessible exposure feedback due BCI without known side effects mental functions personality. interfaces, particular electroencephalography, increases cognitive abilities learning, including multitasking. This also used assimilation necessary new digital environments only training complex professions, but masses. Side higher personality have been sufficiently studied recommend avoid widespread education.