Neural Signal Processing focuses on the analysis, interpretation, and computational modeling of neural signals generated by the brain and nervous system. This session explores advanced signal-processing techniques used to investigate neural activity, including EEG, MEG, neural recordings, and electrophysiological data. Key areas include neural signal analysis, feature extraction, noise reduction, brain signal decoding, machine learning applications, and real-time neural monitoring. The session also highlights emerging technologies for brain–computer interfaces, neurological assessment, neural communication, and the development of innovative diagnostic and therapeutic approaches.
Neural Signal Processing