Abteilung
Neuromorphe Informationsverarbeitung
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Startseite
Forschung
Maschinelles Lernen
Neuroprothetik und neuroinspirierte Signalverarbeitung
Mainframes und Enterprise Computing
Eingebettete Systeme
Spikende Neuronale Netze
Publikationen
Abteilung
Übersicht
Prof. Dr. Martin Bogdan
Sekretariat
Dr. Sophie Adama
Dr. Jörn Hoffmann
Max Braungardt
Mahsa Raeiati Banadkooki
Marc Franke
Clemens Fritzsch
Dominik Krenzer
Maksim Kukushkin
Benjamin Schindler
Patrick Schöfer
Ferney Beltran Velandia
Lehre
Sommersemester 2026
Wintersemester 2025/26
Sommersemester 2025
Wintersemester 2024/25
Frühere Semester
Vorlagen
Abschlussarbeiten
Impressum
Using Passive Brain-Computer Interfaces for cognitive workload assessment
Adaptive Learning Environments based on BCI Methodology
Co-adaptivity in Unsupervised Adaptive Brain-Computer Interfacing: a Simulation Approach
Online use of error-related potentials in healthy users and people with severe motor impairment increases performance of a P300-BCI
One Class SVM and Canonical Correlation Analysis increase performance in a c-VEP based Brain-Computer Interface (BCI)
A new (semantic) reflexive brain–computer interface: In search for a suitable classifier
Bayesian Online Clustering of Eye-Tracking Data
A Reinforcement Learning Framework for Spiking Networks with Dynamic Synapses
A Fast Feature Selection Method for High-Dimensional MEG BCI Data
Prediction of Visual P300 BCI Aptitude Using Spectral Features
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