Date & Time
Time: 14:30-15:30pm (CST), Feb.17(Friday)
Zoom ID: 715 337 7467
*Light refreshments will be provided
Prof. Zhiguo Zhang
School of Computer Science and Technology,
Harbin Institute of Technology, Shenzhen
Nowadays, it is popular to decode physiological, psychological and pathological states from brain signals (such as EEG and MRI) for applications such as diagnosis of neurological disorders and regulation of mental disorders. However, brain signals present huge individual differences, which cause many problems in neural decoding and neural regulation. In order to overcome the adverse influence of individual differences, we have developed a series of individualized neural decoding and neural regulation methods based on advanced data analysis and machine learning techniques. Individualized neural decoding can decode an individual’s unique dynamic brain states, while individualized neural regulation can apply individual-specific experimental parameters based on each individual’s ongoing brain states to achieve optimal regulation outcomes. This seminar will also introduce some typical clinical applications of individualized neural decoding and neuromodulation, such as screening of affective disorder and closed-loop neurofeedback.
Zhiguo Zhang is now a Professor with the School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen. His research interests are neural engineering, medical AI, brain-computer interface, and brain-inspired computing. Specifically, his research focus is to develop advanced data analytics and machine learning techniques to analyze brain signals and images for potential clinical applications, such as early diagnosis of neurological disorders and enhancement of cognitive performance. His research has been supported by more than 20 grants from various funding agencies, and he has published more than 100 papers in peer-reviewed professional journals and co-authored two books. He is named in the World’s Top 2% scientists list, and has won the first prize of the 2021 Natural Science Award of the Ministry of Education for his work on non-invasive neural interfaces.
Feel free to contact us via DKUDNAS@dukekunshan.edu.cn if you have any questions regarding this event, thanks.