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Course

MICRO-513: Signal processing for functional brain imaging

Summary

Computational methods for the analysis of human brain imaging data

Lectures

Instructors

Official source

https://edu.epfl.ch/coursebook/en/signal-processing-for-functional-brain-imaging-MICRO-513

Moodle Page

http://go.epfl.ch/MICRO-513

About this result

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Summary

Computational methods for the analysis of human brain imaging data

Lectures

Instructors

Official source

https://edu.epfl.ch/coursebook/en/signal-processing-for-functional-brain-imaging-MICRO-513

Moodle Page

http://go.epfl.ch/MICRO-513

About this result

Ontological neighbourhood

Biology

Neuroscience: Computational neuroscience

Anatomy: Neuroanatomy

Mathematics

Algebra: Linear algebra

Lectures in this course (8)

Functional Brain Imaging: Signal Processing

Covers neuroimaging techniques, brain structure, MRI basics, and big data in brain research.

Preprocessing & Topographic Mapping

Covers the preprocessing pipeline for functional brain imaging and topographic mapping in sensory cortices.

Topographic Mapping & GLM I

Introduces topographic brain mapping, auditory pathways, motor cortex organization, and the General Linear Model for fMRI data analysis.

GLM II

Explores GLM II, covering hypothesis testing, F-tests, multiple comparisons, and enriching the model to account for imaging artifacts.

Multivariate Methods I

Explores multivariate methods like PCA, SVD, PLS, and ICA for dimensionality reduction in functional brain imaging.

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