The goal of the course is to cover the major technical topics and methodological issues in the field of functional magnetic resonance imaging (fMRI) brain research.
With this background, students will be equipped with better tools to design and implement their own fMRI experiments, analyze fMRI data, and importantly appreciate the advantages and limitations of fMRI research.
50% tutorials (using matlab)
50% lectures (using FSL)
Design, acquisition, and analysis of Functional Magnetic Resonance Imaging (fMRI) data/ Dr. Tali Weiss
basic MR physics and functional MRS/ Alexey Kulpanovich
Using natural stimuli in brain imaging/ Dr. Talia Brandman
Retinotopic topography/ Or Yizhar
Somatosensory topography/ Dr. Noam Saadon-Grosman
Multi-Voxel Pattern Analysis (MVPA)/ Prof. Roy Mukamel
fmri neurofeedback/ Prof. Michal Ramot