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
Wintersemester 2025/26
Sommersemester 2025
Wintersemester 2024/25
Sommersemester 2024
Frühere Semester
Vorlagen
Abschlussarbeiten
Impressum
Neural and Ocular Correlates of Hypnosis: Insights from EEG and EOG analysis
A bimodal image dataset for seed classification from the visible and near-infrared spectrum
Efficient Learning in Spiking Neural Networks – Introducing Feedback Alignment to the Reinforced Liquid State Machine
Correcting the Modified Stochastic Synaptic Model of Synaptic Dynamics Refinement of Vesicle and Neurotransmitters Functions
Assessing consciousness in patients with locked-in syndrome using their EEG
A Pipeline based on Differential Evolution for Tuning Parameters of Synaptic Dynamics Models
The Reinforced Liquid State Machine: A New Training Architecture for Spiking Neural Networks
Reinforced liquid state machines—new training strategies for spiking neural networks based on reinforcements
Optimization of the purity analysis of rapeseed by using hyperspectral imaging in the spectral range from 400 to 1600 nm
The Regulatory Character of Boredom in AI – Towards a Self-Regulating System based on Spiking Neural Networks
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