Abteilung
Neuromorphe Informationsverarbeitung
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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
Analysis of auditory oddball paradigm during hypnosis
Evaluating the DoC-Forest tool for Classifying the State of Consciousness in a Completely Locked-In Syndrome Patient
Sleep analysis in a CLIS patient using soft-clustering: a case study
Assessing consciousness in patients with disorders of consciousness using soft-clustering
Application of Soft-Clustering to Assess Consciousness in a CLIS Patient
Yes/No Classification of EEG data from CLIS patients
Longitudinal Analysis of the Connectivity and Complexity of Complete Locked-in Syndrome Patients Electroencephalographic signal
Motion Detection in Videos of Coherence Matrices in order to detect Consciousness States in CLIS-patients– an Approach
Using Time Domain and Pearson’s Correlation to Predict Attention Focus in Autistic Spectrum Disorder from EEG P300 Components
Extendable Hybrid approach to detect consciousness states in a CLIS patient using machine learning
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