- Research interests
- MEG training
Complex behavior and cognitive functions of the human brain are suggested to be “mapped at the level of multi-focal neural systems rather than specific anatomical sites, giving rise to brain-behavior relationships that are both localized and distributed”. Further understanding of these brain mechanisms requires both structural and functional knowledge to answer (i) where are the foci of activity, (ii) when are these areas activated and what is the temporal sequence of activations, and (iii) how does the information flow in the large-scale neural network during the execution of cognitive and/or behavioral tasks. Advanced noninvasive medical imaging/recording modalities are able to localize brain activities at high spatial and temporal resolution. Quantitative modeling to interpret these data is needed to understand how large-scale distributed neuronal interactions underlying perceptual / cognitive / behavioral functions emerge and change over time.
Our research interests include the integration of hardware development, data analysis, and mathematical modeling to facilitate our understanding of brain cognition. Current research projects try to explore challenges of spatiotemporal brain imaging and modeling by using a combination of hardware and analytical approaches to enhance the spatiotemporal resolution of single (MRI) or combined (MRI/fMRI and MEG/EEG) modalities. In addition, mathematical approaches for identifying large-scale neural networks and their correlation to behavioral measurements are investigated.
Date: 2013/10/18 (Fri.)
Venue: China Medical University, Taiwan (中國醫藥大學) 立夫教學大樓1樓 103階梯講堂 (40402 台中市北區學士路91號)
The third 2013 MEG Educational Training aaims at introducing MEG to researchers interested in using magnetoencephalography (MEG) to study brain function and its correlates to social sciences. The invited talks cover topics including MEG physiological basis, technical basis, data processing, and applications. Read more
Registration is open now.