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 2025
Wintersemester 2024/25
Sommersemester 2024
Wintersemester 2023/24
Frühere Semester
Vorlagen
Abschlussarbeiten
Impressum
Prediction of brain-computerinterface aptitude from individual brain structure
Prediction of Auditory and Visual P300 Brain-Computer Interface Aptitude
Efficient prediction of x-axis intercepts of discrete impedance spectra
Alpha- and theta frequencies as indicators for optimal cognitive load during learning
Prediction of P300 BCI Aptitude in Severe Motor Impairment
Unsupervised BCI calibration as possibility for communication in CLIS patients?
Decoding stimulation intensity from evoked ECoG activity using support vector regression
Rapid Design Space Exploration of a State-of-the-art PSI 5 Controller
Principal component based covariate shift adaption to reduce non-stationarity in a MEG-based brain-computer interface
Online Adaptation of a c-VEP Brain-Computer Interface(BCI) Based on Error-Related Potentials and Unsupervised Learning
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