Abteilung
Neuromorphe Informationsverarbeitung
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Forschung
Maschinelles Lernen
Neuroprothetik und neuroinspirierte Signalverarbeitung
Mainframes und Enterprise Computing
Eingebettete Systeme
Publikationen
Abteilung
Übersicht
Prof. Dr. Martin Bogdan
Sekretariat
Jun.-Prof. Dr. Thomas Schmid
Dr. Sophie Adama
Dr. Jörn Hoffmann
Ferney Beltran Velandia
Max Braungardt
Marc Franke
Clemens Fritzsch
Dominik Krenzer
Mahsa Raeiati Banadkooki
Martin Walther
Lehre
Wintersemester 2023/24
Sommersemester 2023
Wintersemester 2022/23
Sommersemester 2022
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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