Credits :3

Course overview and learning outcomes: Multimodal Brain Imaging course will give students an understanding on the neurobiological principles of fMRI, signal, and noise components, structural and functional (fMRI) connectivity, simultaneous acquisition of EEG-fMRI, analysis of multimodal data. The course aims to give students hands-on experience with widely used software/toolboxes developed for analysis of functional data, e.g., AFNI (Analysis of Functional NeuroImages) and EEGLAB. The goal is to make the course as interactive as possible, hence we will have time to include hands on data analysis, literature reading/discussion and assignment presentations throughout the semester. Teaching methods: Lecturing, literature reading and hands-on programming assignments. Suggested textbooks: Functional MRI by Huettel, Song, McCarthy (3rd Edition); From Picture to Proton by McRobbie, Moore, Prince, Graves; EEG-fMRI by Mulert and Lemieux.

Credits: 3

Course overview and learning outcomes: Human Cognition and Behavior course will cover topics on human brain development, brain function and structure, cognitive and behavioral studies including attention, memory, learning, and decision making. Students will have an understanding on the interactions between behavior, physiology, and cognition during various conditions of our daily lives such as drowsiness and sleep, and learn how to relate them with advanced imaging and data analysis techniques. The course aims to give students a detailed understanding of cognitive research in biomedical sciences and engineering. Teaching methods: Lecturing, reading assignments and tutorials.