Coursebooks 2017-2018

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Signal processing for functional brain imaging

MICRO-513

Lecturer(s) :

Van De Ville Dimitri Nestor Alice

Language:

English

Summary

MICRO-513 is an interdisciplinary course at the interface of neuroscience, psychology, engineering, and statistics. Students will learn mathematical and statistical processing tools in the context of analyzing human brain imaging data.

Content

Human brain imaging (MRI, fMRI EEG) allows non-invasive investigation of the human brain in health and disease.  Data sets are large and noisy and their analysis depends on an array of mathematical and signal processing tools.  Students will learn to implement general tools including linear regression (mass univariate models), multivariate models (principal components analysis, partial least squares, independent component analysis), pattern recognition (machine learning), and graphical models. Lab exercises and Matlab exercises allow analysis of real brain imaging data. A journal club emphasizes application of brain imaging tools in fundamental and clinical neuroscience. Students will read, present and critique original research papers.

Keywords

neuroimaging, functional MRI, EEG, brain mapping

Learning Prerequisites

Important concepts to start the course

Mathematics at the engineering level (i.e., matrix algebra, probability theory)

Basic signal processing concepts

Learning Outcomes

By the end of the course, the student must be able to:

Transversal skills

Teaching methods

lectures, lab exercises for analysis of real brain imaging data sets, homework exercises for understanding and implementation of specific tools, journal club for exploring applications of brain imaging in fundamental and clinical neuroscience, journal club presentations for synthesis and critique of original research as well as practice of presentation skills.

Expected student activities

attendance at lectures and exercises. one journal club.

Assessment methods

written exam.

Supervision

Office hours No
Assistants Yes
Forum Yes

Resources

Moodle Link

In the programs

Reference week

 MoTuWeThFr
8-9     
9-10     
10-11     
11-12     
12-13     
13-14     
14-15     
15-16     
16-17     
17-18     
18-19     
19-20     
20-21     
21-22     
Under construction
 
      Lecture
      Exercise, TP
      Project, other

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  • Autumn semester
  • Winter sessions
  • Spring semester
  • Summer sessions
  • Lecture in French
  • Lecture in English
  • Lecture in German