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This lecture covers neural signals and signal processing, focusing on GLM estimability, 2nd level analysis, ANOVA models, hypothesis testing fallacies, brain mapping issues, functional connectivity, resting-state fMRI, multivariate methods, and the impact of permutations. The instructor emphasizes the importance of understanding the relationships between experimental design, statistical analysis, and interpretation, as well as the basics of multivariate analysis and functional connectivity concepts.