Lecture
This lecture covers the basics of fMRI processing, including topographic brain mapping, tonotopy, auditory pathways, and motor cortex organization. It introduces the General Linear Model (GLM) for fMRI data analysis, explaining model generation, parameter estimation, and hypothesis testing. The lecture also discusses the slow proxy nature of fMRI BOLD signals for neuronal activity and the importance of model specification in fMRI analysis.