Publications by authors named "Johannes Partzsch"

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68-channel neural signal processing system-on-chip with integrated feature extraction, compression, and hardware accelerators for neuroprosthetics in 22 nm FDSOI.
Liyuan Guo, Annika Weiße, Seyed Mohammad Ali Zeinolabedin, Franz Marcus Schüffny, Marco Stolba, Johannes Partzsch

Front Neurosci· October 2024

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Plasticity and Adaptation in Neuromorphic Biohybrid Systems.
Richard George, Michela Chiappalone, Michele Giugliano, Timothée Levi, Stefano Vassanelli, Johannes Partzsch

iScience· October 2020

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Efficient Reward-Based Structural Plasticity on a SpiNNaker 2 Prototype.
Yexin Yan, David Kappel, Felix Neumarker, Johannes Partzsch, Bernhard Vogginger

IEEE Trans Biomed Circuits Syst· June 2019

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A Biohybrid Setup for Coupling Biological and Neuromorphic Neural Networks.
Hanna Keren, Johannes Partzsch, Shimon Marom, Christian G Mayr

Front Neurosci· May 2019

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Memory-Efficient Deep Learning on a SpiNNaker 2 Prototype.
Chen Liu, Guillaume Bellec, Bernhard Vogginger, David Kappel, Johannes Partzsch

Front Neurosci· November 2018

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A Biological-Realtime Neuromorphic System in 28 nm CMOS Using Low-Leakage Switched Capacitor Circuits.
Christian Mayr, Johannes Partzsch, Marko Noack, Stefan Hänzsche, Stefan Scholze

IEEE Trans Biomed Circuits Syst· February 2016

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Network-driven design principles for neuromorphic systems.
Johannes Partzsch, Rene Schüffny

Front Neurosci· November 2015

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Reducing the computational footprint for real-time BCPNN learning.
Bernhard Vogginger, René Schüffny, Anders Lansner, Love Cederström, Johannes Partzsch

Front Neurosci· February 2015

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Switched-capacitor realization of presynaptic short-term-plasticity and stop-learning synapses in 28 nm CMOS.
Marko Noack, Johannes Partzsch, Christian G Mayr, Stefan Hänzsche, Stefan Scholze

Front Neurosci· February 2015

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Configurable analog-digital conversion using the neural engineering framework.
Christian G Mayr, Johannes Partzsch, Marko Noack, Rene Schüffny

Front Neurosci· August 2014

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Accuracy evaluation of numerical methods used in state-of-the-art simulators for spiking neural networks.
Stephan Henker, Johannes Partzsch, René Schüffny

J Comput Neurosci· April 2012

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Developing structural constraints on connectivity for biologically embedded neural networks.
Johannes Partzsch, René Schüffny

Biol Cybern· March 2012

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VLSI Implementation of a 2.8 Gevent/s Packet-Based AER Interface with Routing and Event Sorting Functionality.
Stefan Scholze, Stefan Schiefer, Johannes Partzsch, Stephan Hartmann, Christian Georg Mayr

Front Neurosci· November 2011

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Rate and pulse based plasticity governed by local synaptic state variables.
Christian G Mayr, Johannes Partzsch

Front Synaptic Neurosci· July 2011

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Analyzing the scaling of connectivity in neuromorphic hardware and in models of neural networks.
Johannes Partzsch, René Schüffny

IEEE Trans Neural Netw· June 2011

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A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems.
Daniel Brüderle, Mihai A Petrovici, Bernhard Vogginger, Matthias Ehrlich, Thomas Pfeil, Johannes Partzsch

Biol Cybern· May 2011

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On the relation between bursts and dynamic synapse properties: a modulation-based ansatz.
Christian Mayr, Johannes Partzsch, Rene Schüffny

Comput Intell Neurosci· May 2010

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