Progress in Neural Networks for EEG Signal Recognition in 2021

In recent years, neural networks showed unprecedented growth that ultimately influenced dozens of different industries, including signal processing for the electroencephalography (EEG) process. Electroencephalography, although it appeared in first half 20th century, was not changed physical principles work to this day. But technology made significant progress area through use networks. many models complicate process understanding real situation area. This manuscript summarizes current state knowledge on topic, and describes most achievements various fields application EEG signals. We discussed detail results presented research papers which signals have been involved. also examined extracting features from using conclusion, we provided recommendations correct demonstration manuscripts subject EEG.