Fiches de cours 2017-2018

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Brain computer interaction

EE-514

Enseignant(s) :

Millán Ruiz José del Rocío

Langue:

English

Summary

How to provide a direct interaction between the human neural system and machines aiming to augment human capabilities, especially of disabled people. Description of the brain signals and the algorithms (signal processing & machine learning) for recognizing subjects' intents and cognitive states.

Content

1.Introduction

2. Basic Neurology + ML

3. Multiunit Recording

4. Electroencephalogram (EEG) & Inverse Methods

5. EEG-based BCI and Paradigms

6. Electrocorticogram (ECoG)

7. Beyond Motor-related Signals for BCI

8. Cognitive Signals for Brain Interaction

9. BCI Applications

Keywords

brain-computer interfaces, brain-machine interfaces, neuroprosthetics, pattern recognition, brain signal processing, human physiological signals, neuroscience, human-computer interaction

Learning Prerequisites

Required courses

Pattern recognition (for instance, Data Analysis and Model Classification)

Signal Processing

 

 

Recommended courses

Neuroscience and Cognitive Neuroscience

Important concepts to start the course

Pattern recognition: feature selection, linear models for classification and regression (quick introduction at the beginning of the course)

Signal processing: Frequency domain analysis, filtering (basic introduction at the beginning of the course)

Matlab programming (tutorial provided at the beginning of the course)

 

Teaching methods

Lectures and project based on students' own experiments.

Expected student activities

Students will have to run their own experiments on a protocol of their choice. Then, they will analyze the recorded brain signals (EEG) and provide a written report.

Assessment methods

Written exam. Final grade: 60% Exam, 40% Exercises.

Resources

Bibliography

Dornhege, G. Millán, J.d.R., Hinterberger, T., McFarland, D.J., and Müller, K.-R. (eds.) (2007). Towards Brain-Computing Interfacing. Cambridge, MA: MIT Press.

Wolpaw, J. and Wolpaw E.W. (eds.) (2012). Brain-Computer Interfaces: Principles and Practice. Oxford University Press.

 

Ressources en bibliothèque
Moodle Link

Dans les plans d'études

Semaine de référence

 LuMaMeJeVe
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     
En construction
 
      Cours
      Exercice, TP
      Projet, autre

légende

  • Semestre d'automne
  • Session d'hiver
  • Semestre de printemps
  • Session d'été
  • Cours en français
  • Cours en anglais
  • Cours en allemand