Channel selection and prediction system for discriminating fast- and slow-FM in Heschl’s gyrus

We cooperated with the University of Iowa, Prof. Chiu (NCTU) and Prof. Poon (NCKU) to identify important features of temporal ECoG time-domain signals. The core technology is used to find out the important channel versus time points of the Heschl’s gyrus by using fast/slow FM stimulus. The goal is to design an estimation system for sound cognition in Heschl’s gyrus.