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
Enhancements on the Modied Stochastic Synaptic Model: The Functional Heterogeneity
Development of a Petri Net Model for a Reconfigurable Intelligent System based on Experimental Data
Synaptic energy drives the information processing mechanisms in spiking neural networks
Cyfield-RISP: Generating Dynamic Instruction Set Processors for Reconfigurable Hardware Using OpenCL
Digital Detection and Analysis of Branching and Cell Contacts in Neural Cell Cultures
A Reinforcement Learning Framework for Spiking Networks with Dynamic Synapses
A Hypothetical Free Synaptic Energy Function and Related States of Synchrony
On the capacity of transient states of synchrony in liquid state machines
Synchrony State Generation: an Approach using Stochastic Synapses
A Hebbian-based reinforcement learning framework for spike-timing-dependent synapses
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