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Eric Müller
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Six networks on a universal neuromorphic computing substrate
T Pfeil, A Grübl, S Jeltsch, E Müller, P Müller, MA Petrovici, M Schmuker, ...
Frontiers in neuroscience 7, 39056, 2013
2192013
Neuromorphic hardware in the loop: Training a deep spiking network on the brainscales wafer-scale system
S Schmitt, J Klähn, G Bellec, A Grübl, M Guettler, A Hartel, S Hartmann, ...
2017 international joint conference on neural networks (IJCNN), 2227-2234, 2017
1852017
A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems
D Brüderle, MA Petrovici, B Vogginger, M Ehrlich, T Pfeil, S Millner, ...
Biological cybernetics 104, 263-296, 2011
1422011
Demonstrating advantages of neuromorphic computation: a pilot study
T Wunderlich, AF Kungl, E Müller, A Hartel, Y Stradmann, SA Aamir, ...
Frontiers in neuroscience 13, 435922, 2019
1342019
The BrainScaleS-2 accelerated neuromorphic system with hybrid plasticity
C Pehle, S Billaudelle, B Cramer, J Kaiser, K Schreiber, Y Stradmann, ...
Frontiers in Neuroscience 16, 795876, 2022
1022022
Establishing a novel modeling tool: a python-based interface for a neuromorphic hardware system
D Brüderle, E Müller, AP Davison, E Muller, J Schemmel, K Meier
Frontiers in neuroinformatics 3, 362, 2009
952009
Versatile emulation of spiking neural networks on an accelerated neuromorphic substrate
S Billaudelle, Y Stradmann, K Schreiber, B Cramer, A Baumbach, D Dold, ...
2020 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2020
512020
Code generation in computational neuroscience: a review of tools and techniques
I Blundell, R Brette, TA Cleland, TG Close, D Coca, AP Davison, ...
Frontiers in neuroinformatics 12, 68, 2018
472018
Accelerated physical emulation of bayesian inference in spiking neural networks
AF Kungl, S Schmitt, J Klähn, P Müller, A Baumbach, D Dold, A Kugele, ...
Frontiers in neuroscience 13, 1201, 2019
362019
Emulating dendritic computing paradigms on analog neuromorphic hardware
J Kaiser, S Billaudelle, E Müller, C Tetzlaff, J Schemmel, S Schmitt
Neuroscience 489, 290-300, 2022
332022
The Operating System of the Neuromorphic BrainScaleS-1 System
E Müller, S Schmitt, C Mauch, S Billaudelle, A Grübl, M Güttler, ...
Neurocomputing, 2022
272022
A Software Framework for Mapping Neural Networks to a Wafer-scale Neuromorphic Hardware System.
M Ehrlich, K Wendt, L Zühl, R Schüffny, D Brüderle, E Müller, B Vogginger
ANNIIP, 43-52, 2010
272010
NEST 2.14. 0
A Peyser, R Deepu, J Mitchell, S Appukuttan, T Schumann, JM Eppler, ...
Jülich Supercomputing Center, 2017
262017
Extending brainscales OS for BrainScaleS-2
E Müller, C Mauch, P Spilger, OJ Breitwieser, J Klähn, D Stöckel, ...
arXiv preprint arXiv:2003.13750, 2020
242020
hxtorch: PyTorch for BrainScaleS-2: Perceptrons on Analog Neuromorphic Hardware
P Spilger, E Müller, A Emmel, A Leibfried, C Mauch, C Pehle, J Weis, ...
IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile …, 2020
232020
Pattern representation and recognition with accelerated analog neuromorphic systems
MA Petrovici, S Schmitt, J Klähn, D Stöckel, A Schroeder, G Bellec, J Bill, ...
2017 IEEE International Symposium on Circuits and Systems (ISCAS), 1-4, 2017
222017
A scalable approach to modeling on accelerated neuromorphic hardware
E Müller, E Arnold, O Breitwieser, M Czierlinski, A Emmel, J Kaiser, ...
Frontiers in neuroscience 16, 884128, 2022
182022
Inference with artificial neural networks on analog neuromorphic hardware
J Weis, P Spilger, S Billaudelle, Y Stradmann, A Emmel, E Müller, ...
IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile …, 2020
172020
Simulator-like exploration of cortical network architectures with a mixed-signal VLSI system
D Brüderle, J Bill, B Kaplan, J Kremkow, K Meier, E Müller, J Schemmel
2010 IEEE International Symposium on Circuits and Systems (ISCAS), 2784-8787, 2010
162010
Classification with deep neural networks on an accelerated analog neuromorphic system
S Schmitt, J Klähn, G Bellec, A Grübl, M Güttler, A Hartel, S Hartmann, ...
Proceedings of the 2017 IEEE International Joint Conference on Neural Networks, 2017
122017
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