“Researchers from HSE University and the Artificial Intelligence Research Institute (AIRI) have successfully lowered the latency between a change in brain activity and the presentation of the corresponding neurofeedback signal by a factor of 50. The results were obtained by employing a neural network trained in low-latency filtering of brain activity signals from diverse individuals.
This approach opens up new prospects for the treatment of attention deficit disorder and epilepsy. A paper with the study findings has been published in the Journal of Neural Engineering.
Neurofeedback, a form of biofeedback, has been in use since the 1960s. Its core concept involves individuals receiving objective information about the parameters of their own brain activity, as recorded using an electroencephalogram (EEG), and subsequently learning to regulate their brain waves based on this feedback.”