Abteilung
Neuromorphe Informationsverarbeitung
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Forschung
Maschinelles Lernen
Neuroprothetik und neuroinspirierte Signalverarbeitung
Mainframes und Enterprise Computing
Eingebettete Systeme
Publikationen
Abteilung
Übersicht
Prof. Dr. Martin Bogdan
Sekretariat
Jun.-Prof. Dr. Thomas Schmid
Dr. Sophie Adama
Dr. Jörn Hoffmann
Ferney Beltran Velandia
Max Braungardt
Marc Franke
Clemens Fritzsch
Dominik Krenzer
Mahsa Raeiati Banadkooki
Martin Walther
Lehre
Wintersemester 2023/24
Sommersemester 2023
Wintersemester 2022/23
Sommersemester 2022
Frühere Semester
Vorlagen
Abschlussarbeiten
Impressum
Evaluation of three machine learning algorithms for the automatic classification of EMG patterns in gait disorders
Consciousness Detection in a Complete Locked-in Syndrome Patient through Multiscale Approach Analysis
Longitudinal Analysis of the Connectivity and Complexity of Complete Locked-in Syndrome Patients Electroencephalographic signal
Coupling BCI and cortical stimulation for brain-state-dependent stimulation: Methods for spectral estimation in the presence of stimulation after-effects
Transient amplitude modulation of alpha-band oscillations by short-time intermittent closed-loop tACS
Application of Sample Entropy to analyze Consciousness in CLIS patients
Motion Detection in Videos of Coherence Matrices in order to detect Consciousness States in CLIS-patients– an Approach
Extendable Hybrid approach to detect consciousness states in a CLIS patient using machine learning
Consciousness Detection in Complete Locked-in State Patients using Electroencephalogram Coherency and Artificial Neural Networks
Neural networks for personalized item rankings
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