Abteilung
Neuromorphe Informationsverarbeitung
  • 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
  • Sommersemester 2026
  • Wintersemester 2025/26
  • Sommersemester 2025
  • Wintersemester 2024/25
  • Frühere Semester
    • Sommersemester 2024
    • Wintersemester 2023/24
    • Sommersemester 2023
    • Wintersemester 2022/23
    • Sommersemester 2022
    • Wintersemester 2021/22
    • Sommersemester 2021
    • Wintersemester 2020/21
    • Sommersemester 2020
    • Wintersemester 2019/20
    • Sommersemester 2019
    • Wintersemester 2018/19
    • Sommersemester 2018
  • Vorlagen

Seismocardiography (SCG) Signal Classification of Valvular Heart Diseases with Convolutional Neural Network

Automated Multilabel Classification of Valvuar Heart Diseases Using Aortic Valve Opening Variability Features and Wavelet Scattering Transform

Assessing the Effectiveness of Various Filtering Techniques on Seismocardiography Signals in Individuals with Valvular Heart Disease

Computational Predictive Processing Models of Consciousness: A Systematic Review of Non-Invasive Brain Signal Analysis in Disorders of Consciousness

Evaluation of the NCL toolbox for EEG-Based Assessment of Consciousness During Propofol Anaesthesia

Boredom as homeostasis of cognitive resource utilization using spiking neural networks

A bimodal image dataset for seed classification from the visible and near-infrared spectrum

Assessing consciousness in patients with locked-in syndrome using their EEG

Optimization of the purity analysis of rapeseed by using hyperspectral imaging in the spectral range from 400 to 1600 nm

The PanAf-FGBG Dataset: Understanding the Impact of Backgrounds in Wildlife Behaviour Recognition

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Universität Leipzig · Fakultät für Mathematik und Informatik · Abteilung Neuromorphe Informationsverarbeitung · Prof. Dr. Martin Bogdan
Augustusplatz 10 · 04109 Leipzig · Telefon: +49 (341) 97-32208 · Telefax: +49 (341) 97-32252
Universität Leipzig · Fakultt für Mathematik und Informatik · Abteilung Neuromorphe Informationsverarbeitung · Prof. Dr. Martin Bogdan
Augustusplatz 10 · 04109 Leipzig