This talk will be held in a hybrid format: in person at the AIP Nihonbashi office for AIP members only, and online via Zoom.
Speaker: Prof. Bao-Liang Lu, School of Computer Science, Shanghai Jiao Tong University, China
Title: Affective Brain-Computer Interfaces and Large EEG Models
Abstract: Affective brain-computer interfaces (BCIs) decode and modulate human emotional states. Compared to motor BCIs, affective BCIs exhibit two key characteristics: first, they require diverse emotion induction paradigms and stimuli; second, they can utilize multimodal signals, including EEG combined with other physiological and behavioral data sources. In this talk, I will outline the fundamental characteristics of affective BCIs, introduce several representative deep learning algorithms for constructing emotion recognition models, and discuss recently developed large EEG models. Finally, I will present the application of multimodal affective BCIs for the objective assessment of depression.
Bio: Bao-Liang Lu received the Ph.D. degree in electrical engineering from Kyoto University in 1994. From 1999 to 2002, he was a Research Scientist at the RIKEN Brain Science Institute, Wako. Prior to that, he was a Frontier Researcher at the Bio-Mimetic Control Research Center, RIKEN, Nagoya. Since 2002, he has been a Full Professor with the School of Computer Science, Shanghai Jiao Tong University, Shanghai. Prof. Lu received the IEEE Transactions on Autonomous Mental Development Outstanding Paper Award from the IEEE Computational Intelligence Society in 2018, the Best of IEEE Transactions on Affective Computing Paper Collection Award in 2021, and the 2022 Asia Pacific Neural Network Society (APNNS) Outstanding Achievement Award. His research interests include deep learning, vertical large EEG models, affective computing, affective brain-computer interfaces, and their applications in the objective assessment of affective disorders. He is currently an Associate Editor for IEEE Transactions on Affective Computing and the Journal of Neural Engineering. Prof. Lu is an IEEE Fellow.
