KIP-Veröffentlichungen

Suchmaske (Einfache Suchmaske)


GRUPPEN: F9
AUTOR: Eric

Kirchhoff-Institut für Physik

gefunden: 45
  2023
Simulation-based inference for model parameterization on analog neuromorphic hardware
Jakob Kaiser, Raphael Stock, Eric Müller, Johannes Schemmel, Sebastian Schmitt
Jakob Kaiser et al 2023 Neuromorph. Comput. Eng. 3 044006 
From clean room to machine room: commissioning of the first-generation BrainScaleS wafer-scale neuromorphic system
Hartmut Schmidt and José Montes and Andreas Grübl and Maurice Güttler and Dan Husmann and Joscha Ilmberger and Jakob Kaiser and Christian Mauch and Eric Müller and Lars Sterzenbach and Johannes Schemmel and Sebastian Schmitt
Neuromorphic Computing and Engineering 3 (2023) 034013 
pdf (6.3 MB)  URL  
Gradient-based methods for spiking physical systems
Julian Göltz, Sebastian Billaudelle, Laura Kriener, Luca Blessing, Christian Pehle, Eric Müller, Johannes Schemmel, Mihai A. Petrovici
pdf (567.8 kB) 
Autocorrelations from emergent bistability in homeostatic spiking neural networks on neuromorphic hardware
Benjamin Cramer, Markus Kreft, Sebastian Billaudelle, Vitali Karasenko, Aron Leibfried, Eric Müller, Philipp Spilger, Johannes Weis, Johannes Schemmel, Miguel A. Muñoz, Viola Priesemann, Johannes Zierenberg
URL   pdf (2.2 MB) 
Spiking Neural Network Nonlinear Demapping on Neuromorphic Hardware for IM/DD Optical Communication
Arnold, Elias and Böcherer, Georg and Strasser, Florian and Müller, Eric and Spilger, Philipp and Billaudelle, Sebastian and Weis, Johannes and Schemmel, Johannes and Calabrò, Stefano and Kuschnerov, Maxim
https://ieeexplore.ieee.org/document/10059327 
pdf (1.5 MB) 
hxtorch.snn: Machine-learning-inspired Spiking Neural Network Modeling on BrainScaleS-2
Philipp Spilger, Elias Arnold, Luca Blessing, Christian Mauch, Christian Pehle, Eric Müller, Johannes Schemmel
pdf (704.6 kB) 
Leveraging PyTorch on BrainScaleS-2: Training a Real-World Application
Elias Arnold, Philipp Spilger, Eric Müller, Georg Böcherer, Maxim Kuschnerov, Johannes Schemmel
pdf (6.9 MB) 
  2022
Neuromorphic quantum computing
Christian Pehle and Christof Wetterich
Physical Review E, Vol. 106, No. 4 
pdf (928.3 kB)  Prepring on arXiv  
Neuromorphic quantum computing
Christian Pehle and Christof Wetterich
pdf (765.2 kB) 
Spiking Neural Network Equalization for IM/DD Optical Communication
Elias Arnold, Georg Böcherer, Eric Müller, Philipp Spilger, Johannes Schemmel, Stefano Calabrò, Maxim Kuschnerov
Spiking Neural Network Equalization on Neuromorphic Hardware for IM/DD Optical Communication
Elias Arnold and Georg Böcherer and Eric Müller and Philipp Spilger and Johannes Schemmel and Stefano Calabrò and Maxim Kuschnerov
Gradient Computation With Sparse Observations for Analog Neuromorphic Hardware
Luca Blessing, Elias Arnold, Eric Müller, Johannes Schemmel, Christian Pehle
pdf (6.6 MB) 
Demonstrating a Fully Automated Software Framework for PyTorch-based Training on BrainScaleS-2 Using a High-speed Data Communication Example
Elias Arnold, Philipp Spilger, Christian Mauch, Luca Blessing, Eric Müller, Johannes Schemmel
pdf (2.1 MB) 
Spiking Neural Network Equalization on Neuromorphic Hardware for IM/DD Optical Communication
Elias Arnold, Georg Böcherer, Eric Müller, Philipp Spilger, Johannes Schemmel, Stefano Calabrò, Maxim Kuschnerov
Emulating Dendritic Computing Paradigms on Analog Neuromorphic Hardware
Jakob Kaiser, Sebastian Billaudelle, Eric Müller, Christian Tetzlaff, Johannes Schemmel, Sebastian Schmitt
Neuroscience 489 (2022) 290-300 
The Operating System of the Neuromorphic BrainScaleS-1 System
Eric Müller, Sebastian Schmitt, Christian Mauch, Sebastian Billaudelle, Andreas Grübl, Maurice Güttler, Dan Husmann, Joscha Ilmberger, Sebastian Jeltsch, Jakob Kaiser, Johann Klähn, Mitja Kleider, Christoph Koke, José Montes, Paul Müller, Johannes Partzsch, Felix Passenberg, Hartmut Schmidt, Bernhard Vogginger, Jonas Weidner, Christian Mayr, Johannes Schemmel
Neurocomputing (2022) 
pdf (6.3 MB)  arXiv pre-print  
  2021
Demonstrating Analog Inference on the BrainScaleS-2 Mobile System
Yannik Stradmann, Sebastian Billaudelle, Oliver Breitwieser, Falk Leonard Ebert, Arne Emmel, Dan Husmann, Joscha Ilmberger, Eric Müller, Philipp Spilger, Johannes Weis, Johannes Schemmel
arXiv:2103.15960 
pdf (6.6 MB)  arXiv preprint (2103.15960)  
  2020
Self-sustained probabilistic computing on spike-based neuromorphic systems
Akos F. Kungl, Dominik Dold, Andreas Baumbach, Oliver Breitwieser, Ilja Bytschok, Andreas Grübl, Nico Gürtler, Maurice Güttler, Andreas Hartel, Dan Husmann, Kai Husmann, Vitali Karasenko, Johann Klähn, Mitja Kleider, Christoph Koke, Alexander Kugele, Luziwei Leng, Christian Mauch, Eric Müller, Paul Müller, Sebastian Schmitt, Karlheinz Meier, Johannes Schemmel, Walter Senn and Mihai A. Petrovici
Bernstein Conference - Online only, 2020  
Poster walkthrough video   pdf (8.8 MB)  Bernstein Abstracts official site  
hxtorch: PyTorch for BrainScaleS-2 -- Perceptrons on Analog Neuromorphic Hardware
Philipp Spilger, Eric Müller, Arne Emmel, Aron Leibfried, Christian Mauch, Christian Pehle, Johannes Weis, Oliver Breitwieser, Sebastian Billaudelle, Sebastian Schmitt, Timo C. Wunderlich, Yannik Stradmann, Johannes Schemmel
https://arxiv.org/abs/2006.13138 
arXiv pre-print  
Extending BrainScaleS OS for BrainScaleS-2
Eric Müller, Christian Mauch, Philipp Spilger, Oliver Julien Breitwieser, Johann Klähn, David Stöckel, Timo C. Wunderlich, Johannes Schemmel
https://arxiv.org/abs/2003.13750 
arXiv pre-print   pdf (5.2 MB) 
BrainScaleS — Accelerated Analog Neuromorphic Hardware
Eric Müller
Accelerated Analog Neuromorphic Hardware
Eric Müller
Inference with Artificial Neural Networks on Analog Neuromorphic Hardware
Johannes Weis, Philipp Spilger, Sebastian Billaudelle, Yannik Stradmann, Arne Emmel, Eric Müller, Oliver Breitwieser, Andreas Grübl, Joscha Ilmberger, Vitali Karasenko, Mitja Kleider, Christian Mauch, Korbinian Schreiber, Johannes Schemmel
Communications in Computer and Information Science, vol 1325 (2020), pp 201-212 
arXiv   Springer Link  
  2019
Brain-Inspired Hardware for Artificial Intelligence: Accelerated Learning in a Physical-Model Spiking Neural Network
Timo C. Wunderlich, Akos F. Kungl, Eric Müller, Johannes Schemmel, Mihai Petrovici
Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation (2019) 
arXiV   Poster (5.1 MB)  Springer Link  
Accelerated physical emulation of Bayesian inference in spiking neural networks
Akos F. Kungl, Sebastian Schmitt, Johann Klähn, Paul Müller, Andreas Baumbach, Dominik Dold, Alexander Kugele, Nico Gürtler, Luziwei Leng, Eric Müller, Christoph Koke, Mitja Kleider, Christian Mauch, Oliver Breitwieser, Maurice Güttler, Dan Husmann, Kai Husmann, Joscha Ilmberger, Andreas Hartel, Vitali Karasenko, Andreas Grübl, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici
Frontiers in Neuroscience 13 (2019) 1201 
pdf (13.7 MB)  Journal Publication   arXiv    
Experiments on Next-generation BrainScaleS
Eric Müller
Versatile emulation of spiking neural networks on an accelerated neuromorphic substrate
Sebastian Billaudelle*, Yannik Stradmann*, Korbinian Schreiber*, Benjamin Cramer*, Andreas Baumbach*, Dominik Dold*, Julian Göltz*, Akos F. Kungl*, Timo C. Wunderlich*, Andreas Hartel, Eric Müller, Oliver Breitwieser, Christian Mauch, Mitja Kleider, Andreas Grübl, David Stöckel, Christian Pehle, Arthur Heimbrecht, Philipp Spilger, Gerd Kiene, Vitali Karasenko, Walter Senn, Mihai A. Petrovici^, Johannes Schemmel^, Karlheinz Meier^
2020 IEEE International Symposium on Circuits and Systems (ISCAS) (pp. 1-5). IEEE 
IEEE   pdf (919.3 kB)  ArXiv  
Demonstrating Advantages of Neuromorphic Computation: A Pilot Study
Timo Wunderlich, Akos F. Kungl, Eric Müller, Andreas Hartel, Yannik Stradmann, Syed Ahmed Aamir, Andreas Grübl, Arthur Heimbrecht, Korbinian Schreiber, David Stöckel, Christian Pehle, Sebastian Billaudelle, Gerd Kiene, Christian Mauch, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici
Frontiers in Neuroscience 
Frontiers   pdf (3.6 MB) 
  2018
How to use the embedded processor on BrainScaleS-2 — Structural plasticity, virtual environments, …
Eric Müller
Experiments on Second-Generation BrainScaleS Prototypes
Eric Müller
Dynamics of Large-scale Spiking Neural Networks
Eric Müller
Neuromorphic Computing & Synergies with HPC
Eric Müller
Training and deployment of hierarchical inference networks on a physical neuromorphic substrate
Akos F. Kungl, Sebastian Schmitt, Johann Klähn, Paul Müller, Andreas Baumbach, Dominik Dold, Alexander Kugele, Nico Gürtler, Luziwei Leng, Eric Müller, Christoph Koke, Mitja Kleider, Christian Mauch, Oliver Breitwieser, Maurice Güttler, Dan Husmann, Kai Husmann, Joscha Ilmberger, Andreas Hartel, Vitali Karasenko, Andreas Grübl, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici
Bernstein Conference - 2018 Berlin 
Abstract   pdf (7.3 MB) 
Generative models on accelerated neuromorphic hardware
Akos F. Kungl, Sebastian Schmitt, Johann Klähn, Paul Müller, Andreas Baumbach, Dominik Dold, Alexander Kugele, Nico Gürtler, Luziwei Leng, Eric Müller, Christoph Koke, Mitja Kleider, Christian Mauch, Oliver Breitwieser, Maurice Güttler, Dan Husmann, Kai Husmann, Joscha Ilmberger, Andreas Hartel, Vitali Karasenko, Andreas Grübl, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici
CNS - Computational Neuroscience Conference - 2018 Seattle 
pdf (7.3 MB)  BMC Neuroscience 2018, 19(Suppl 2):P154  
  2017
Stochastic computation on spiking neuromorphic hardware
Dominik Dold, Ákos F. Kungl, Andreas Baumbach, Johann Klähn, Ilja Bytschok, Paul Müller, Oliver Breitwieser, Andreas Grübl, Maurice Güttler, Dan Husmann, Mitja Kleider, Christoph Koke, Alexander Kugele, Christian Mauch, Eric Müller, Sebastian Schmitt, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici
Bernstein Conference 2017 
figure (382.5 kB)  poster (2.2 MB)  abstract  
Neuromorphic Hardware In The Loop: Training a Deep Spiking Network on the BrainScaleS Wafer-Scale System
Sebastian Schmitt*, Johann Klaehn*, Guillaume Bellec, Andreas Gruebl, Maurice Guettler, Andreas Hartel, Stephan Hartmann, Dan Husmann, Kai Husmann, Vitali Karasenko, Mitja Kleider, Christoph Koke, Christian Mauch, Eric Mueller, Paul Mueller, Johannes Partzsch, Mihai A. Petrovici, Stefan Schiefer, Stefan Scholze, Bernhard Vogginger, Robert Legenstein, Wolfgang Maass, Christian Mayr, Johannes Schemmel, Karlheinz Meier
Proceedings of the 2017 IEEE International Joint Conference on Neural Networks 
IEEE Xplore   arXiv link  
Pattern representation and recognition with accelerated analog neuromorphic systems
Mihai A. Petrovici*, Sebastian Schmitt*, Johann Klähn*, David Stöckel*, Anna Schroeder*, Guillaume Bellec, Johannes Bill, Oliver Breitwieser, Ilja Bytschok, Andreas Grübl, Maurice Güttler, Andreas Hartel, Stephan Hartmann, Dan Husmann, Kai Husmann, Sebastian Jeltsch, Vitali Karasenko, Mitja Kleider, Christoph Koke, Alexander Kononov, Christian Mauch, Eric Müller, Paul Müller, Johannes Partzsch, Thomas Pfeil, Stefan Schiefer, Stefan Scholze, Anand Subramoney, Vasilis Thanasoulis, Bernhard Vogginger, Robert Legenstein, Wolfgang Maass, René Schüffny, Christian Mayr, Johannes Schemmel, Karlheinz Meier
Proceedings of the 2017 IEEE International Symposium on Circuits and Systems (ISCAS) 
IEEE Xplore   arXiv link  
Simulating Without a Computer — Physical Models of Neural Circuits
Eric Müller
  2014
Novel Operation Modes of Accelerated Neuromorphic Hardware
Eric Christian Müller
Dissertation  pdf (9.5 MB) 
  2013
Six networks on a universal neuromorphic computing substrate
Thomas Pfeil, Andreas Grübl, Sebastian Jeltsch, Eric Müller, Paul Müller, Mihai A. Petrovici, Michael Schmuker, Daniel Brüderle, Johannes Schemmel, Karlheinz Meier
Front. Neurosci. vol. 7, no. 11, 2013 
Online Access  
  2011
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, Sebastian Millner, Andreas Grübl, Karsten Wendt, Eric Müller and Marc-Olivier Schwartz, et al.
Biological Cybernetics 
Online Article  
  2010
A software framework for mapping neural networks to a wafer-scale neuromorphic hardware system
Matthias Ehrlich, Karsten Wendt, Lukas Zühl, Rene Schüffny, Daniel Brüderle, Eric Müller and Bernhard Vogginger
Proceedings of the 2010 Artificial Neural Networks and Intelligent Information Processing Conference (ANNIIP) 
Fulltext PDF (557.5 kB) 
Simulator-Like Exploration of Cortical Network Architectures with a Mixed-Signal VLSI System
Daniel Brüderle, Johannes Bill, Bernhard Kaplan, Jens Kremkow, Karlheinz Meier, Eric Müller and Johannes Schemmel
Proceedings of the 2010 IEEE International Symposium on Circuits and Systems (Copyright: IEEE) 
Fulltext PDF (662.5 kB) 
  2009
Establishing a Novel Modeling Tool: A Python-based Interface for a Neuromorphic Hardware System
Daniel Brüderle, Eric Müller, Andrew Davison, Eilif Muller, Johannes Schemmel, Karlheinz Meier
Front. Neuroinform. 3:17 (2009) 
abstract and download  
  2008
Operation Of An Imperfect Neuromorphic Hardware Device
Eric Müller
Diplomarbeit  Operation Of An Imperfect Neuromorphic Hardware Device (1.7 MB) 
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