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
Patrick Schöfer
Lehre
Sommersemester 2024
Wintersemester 2023/24
Sommersemester 2023
Wintersemester 2022/23
Frühere Semester
Vorlagen
Abschlussarbeiten
Impressum
Yes/No Classification of EEG data from CLIS patients
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
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