25.11.2020 How brains listen? (Zhu)

Nowadays, we still know little about how human brain works and what happens in our brain during real-world life such as in the listening environment. Therefore, it recently became a central and hot topic of neuroscience to understand how the human brain perceives the complex inputs from the real-world and how the brain interacts with the dynamic information in our environment.
M.Eng. Yongjie Zhu
Published
25.11.2020

“Naturalistic paradigms that approximate real life scenarios, using stimuli such as spoken narratives and music emerged in response to the traditional experimental settings over a decade ago, and therefore the advanced methods need to be developed for analysis for such naturalistic stimuli”, suggests M.Eng. Yongjie Zhu in his dissertation.

Yongjie Zhu’s dissertation introduces a series of analytical methods for naturalistic stimuli, especially for music and speech listening, to probe the reconfiguration of electrophysiology brain networks during cognitive task performance.

The developed methods exploit the high spatiotemporal resolution of electro- or magnetoencephalography (EEG/MEG) and allow us to examine the non-stationarity and frequency-specificity of electrophysiological network connectivity during task performance.

Most existing studies characterizing dynamic electrophysiological brain networks failed to simultaneously account for temporal non-stationarity, spectral structure, and spatial properties. Yongjie’s research presents insights on the multi-way and multi-scale connectivity analysis, thereby providing a direction for future research.

M.Eng. Yongjie Zhu defends his doctoral dissertation in Software and Communications Engineering "Identifying task-related dynamic electrophysiological brain connectivity" Wednesday 25.11.2020 starting at 12. Opponent Professor Elvira Brattico (Aarhus University, Denmark) and Custos Senior Reseacher Zheng Chang (Ģֱ). The doctoral dissertation is held in English.

The audience can follow the dissertation online.
Link to the Zoom Webinar (Zoom application or Google Chrome web browser recommended):
Phone number to which the audience can present possible additional questions at the end of the event (to the custos): +358 40 8054143