Abteilung
Neuromorphe Informationsverarbeitung
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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 2025
Wintersemester 2024/25
Sommersemester 2024
Wintersemester 2023/24
Frühere Semester
Vorlagen
Abschlussarbeiten
Impressum
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
Analysis of auditory oddball paradigm during hypnosis
On optimizing morphological neural networks for hyperspectral image classification
Automating the purity analysis of oilseed rape through usage of hyperspectral imaging
BiCAE – A Bimodal Convolutional Autoencoder for Seed Purity Testing
Evaluating the DoC-Forest tool for Classifying the State of Consciousness in a Completely Locked-In Syndrome Patient
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