Lab of Brain Imaging and Modeling

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.



New students interested in our lab

Posted on 22 Nov 2014
If you are a newly admitted student and interested in our lab for your graduate school life, please consult the short introduction about our lab research (prepared by Pu-Yeh Wu).

Participating our studies

Posted on 29 Aug 2014
Our lab constantly seeks students and investigators to collaborate our research projects. Please contact us if you are willing to share your expertise in programming, mathematical analysis, or neuroscientific ideas. Summer and semester-long project-based students are welcomed.