12.8.2021 Discover the mystery of the brain (Zhang)

M.Eng. Guanghui Zhang defends his doctoral dissertation in Software and Communications Engineering: “Methods to extract multi-dimensional features of event-related brain activities from EEG data“.
Published
12.8.2021

We know a little about the mystery of the brain not only because it is a complex organ that does several tasks simultaneously in the real world, but also because we can only obtain limited signals for similar tasks, and the effects of individual activities are weak and confounded. Brain imaging techniques like event-related potentials (ERPs) elicited by repeated and controlled stimuli have been developed to understand how people acquire, perceive, process, and store information.

ERPs are always mixed with other signals, such as spontaneous EEG, electromyography, electrocardiograph, and noise, in different dimensions. The common methods hardly succeed in separating the responses to events. Therefore, efficient advanced processing techniques play a crucial role in extracting ERPs.

This dissertation aims to develop novel methods and frameworks to study how the human brain responds to external events. We investigate the brain responses in different dimensions and uses these multi-dimensional features to tell stories about different brain processes, for example, the response to neutral and emotional faces.

In the research, the developed methods are performed on the multi-subjects’ or individual’s real-world and synthetic EEG data to find meaningful brain activities.

The introduced approaches can detect and analyse brain activities to events and provide new insights into cognitive psychology and clinical applications.

Opponent Professor Danilo Mandic (Imperial College London, UK) and Custos Professor Timo Tiihonen (Ä¢¹½Ö±²¥). The doctoral dissertation is held in English.

The audience can follow the dissertation online.
Link to the Zoom Webinar event (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 50 3732125

Link to the dissertation