Parameter estimationExplores parameter estimation in neuron models, focusing on quadratic optimization and linear fit.
Neural Signals and Signal ProcessingExplores nuclear magnetic resonance, MRI principles, pulse sequences, image reconstruction, safety considerations, and volume normalization in brain imaging.
Nested Model SelectionExplores nested model selection in linear models, comparing models through sums of squares and ANOVA, with practical examples.
Topographic Mapping & GLM IIntroduces topographic brain mapping, auditory pathways, motor cortex organization, and the General Linear Model for fMRI data analysis.