Application Progress of ERP in EEG-based Psychological Research

As the product of brain human mental activity, the basic real-time performance of brain cell activity is revealed when EEG is generated and changed. Thus, extracting mental activity information from EEG to reveal the brain mechanism of mental activity has always been an important direction of psychological research. By using computer superposition technology, the brain electrical signals generated by the mental activity of the brain can be extracted from the spontaneous power generation. The extracted waveform signals are evoked potentials, which are real real-time waveform of the EEG caused stimulus events including physical stimulation and psychological factors of which current time resolution can be accurate to microsecond level. The current ERP research on cognitive brain mechanisms is not limited to primary perceptual category, but has gone deep into the in-depth study of all aspects of human social behavior such as pre-behavior decision-making, behavior monitoring, behavioral consequences prediction and evaluation, behavioral correctness and error, and behavioral inhibition. With its unique advantages of high time resolution, ERP continues to play an irreplaceable role in the in-depth development of cognitive neuroscience, showing strong development prospects and broad application prospects.