Overview
EEG time series analysis is a type of analysis used to analyze electroencephalogram (EEG) recordings. It enables researchers to identify patterns in neural activity which may be related to mental states or processes such as sleep, emotion, cognition, and attention. EEG time series analysis is used to identify correlations between EEG activity and behavior, investigate neurological disorders such as epilepsy, and to improve medical diagnosis and treatment. It can also be used to develop better brain-computer interfaces for prosthetic and cognitive enhancement applications. The use of EEG time series analysis is crucial for understanding brain function and how neural networks interact in the brain.
Research published in this journal
No peer-reviewed research on this exact topic has been published in International Journal of Neuroinformatics yet. Browse the journal →