Neural Signals and Signal Processing

In course

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Description

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.

Instructors (2)

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Official source

https://mediaspace.epfl.ch/media/0_ib7kyim9

About this result

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Ontological neighbourhood

Statistics

Statistical inference: Statistical hypothesis testing

Biology

Neuroscience: Computational neuroscience

Mathematics

Algebra: Linear algebra

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