고려대학교 뇌공학과

 - 아 래 -

연사: Cuntai Guan 교수 (Nanyang Technological University)

제목: A Cognitive Brain-Computer Interface and Its Clinical Applications

일시: 2019년 6월 12일(수) 오전 11시

장소: 우정정보관 604호

주최: 고려대학교 BK21플러스 뇌공학글로벌SW인재양성사업단 

후원: 고려대학교 대학원 뇌공학과, 뇌공학연구소, 뇌인지과학융합전공, 인공지능연구소

문의: 02)3290-5920

초록:

In a typical scenario, Brain-Computer Interfaces (BCIs) translate neural recordings (from electroencephalogram, fMRI, fNIRS) into specific brain states (motor, cognition, emotion, ERP, etc),  construct a command or representing score, and feedback to the user in the form of visual, auditory, haptic or electrical stimulus. Cognitive BCI is one of them, which emerges as a promising paradigm in treating or enhancing cognitive capacities in people with cognitive deficits (for example, children with ADHD and elderly with cognitive decline). In this talk, we first present a new cognitive BCI with the inter-subject transfer learning strategy based on an end-to-end deep convolutional neural network (DCNN), which is used to predict attention levels in real-time. A new discriminative ocular artifact correction approach for feature learning in single-channel EEG is also discussed. Then, we will report the results of two large scale clinical trials in children with ADHD (N=172) and elderly with cognitive decline (N=224). Finally, we will present neuroimaging findings from the clinical studies, which indicate the neuroplasticity effects of the BCI based cognitive training.