Methods for brain–computer interfacing

Methods for brain–computer interfacing

Content
Grafik
Abstract

This chapter presents the methodological core of BCI data analysis, from pre-processing and artifact removal to feature extraction, classification, and inverse modeling. It reviews state-of-the-art signal processing and machine learning techniques, offering practical examples and comparative insights to guide both beginners and advanced researchers in neural decoding.

Grafik Top
Authors
  • Vourvopoulos, Athanasios
  • Kostoglou, Kyriaki
  • Corsi, Marie-Constance
  • Chevallier, Sylvain
  • Eder, Manuel
  • Mattersberger, Matteo
  • Žák, Michal Robert
  • Grosse-Wentrup, Moritz
  • Lotte, Fabien
  • Daly, Ian
  • Papadopoulo, Théodore
Grafik Top
Shortfacts
Category
 Book Section/Chapter
Divisions
 Neuroinformatics
Subjects
 Kuenstliche Intelligenz
Title of Book
 Brain–Computer Interfaces. An educational and research textbook
Page Range
 4-1-4-78
Date
 January 2026
Export
Grafik Top
Universität Wien| Fakultät für Informatik | Währinger Straße 29 | 1090 Wien | T +43-1-4277-780 01 | Imprint | Webteam
EPrints Logo
CS is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.