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Christian Mauch
Christian Mauch
Kirchhoff-Insittute for Physics, Heidelberg University
Verified email at alice-dsl.net
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Cited by
Year
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
2012017
Demonstrating advantages of neuromorphic computation: a pilot study
T Wunderlich, AF Kungl, E Müller, A Hartel, Y Stradmann, SA Aamir, ...
Frontiers in neuroscience 13, 260, 2019
1402019
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
542020
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
372019
The operating system of the neuromorphic BrainScaleS-1 system
E Müller, S Schmitt, C Mauch, S Billaudelle, A Grübl, M Güttler, ...
Neurocomputing 501, 790-810, 2022
312022
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
252020
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
242022
Extending brainscales OS for BrainScaleS-2
E Müller, C Mauch, P Spilger, OJ Breitwieser, J Klähn, D Stöckel, ...
arXiv preprint arXiv:2003.13750, 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
232017
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
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
112017
hxtorch. snn: Machine-learning-inspired Spiking Neural Network Modeling on BrainScaleS-2
P Spilger, E Arnold, L Blessing, C Mauch, C Pehle, E Müller, J Schemmel
Proceedings of the 2023 Annual Neuro-Inspired Computational Elements …, 2023
82023
Demonstrating advantages of neuromorphic computation: a pilot study. Front Neurosci 13: 260
T Wunderlich, AF Kungl, E Müller, A Hartel, Y Stradmann, SA Aamir, ...
62019
Accelerated physical emulation of bayesian inference in spiking neural networks. Front Neurosci 13: 1201
AF Kungl, S Schmitt, J Klähn, P Müller, A Baumbach, D Dold, A Kugele, ...
52019
Extending BrainScaleS OS for BrainScaleS-2. arXiv preprint (2020)
E Müller, C Mauch, P Spilger, OJ Breitwieser, J Klähn, D Stöckel, ...
arXiv preprint arXiv:2003.13750, 0
5
From clean room to machine room: commissioning of the first-generation BrainScaleS wafer-scale neuromorphic system
H Schmidt, J Montes, A Grübl, M Güttler, D Husmann, J Ilmberger, ...
Neuromorphic Computing and Engineering 3 (3), 034013, 2023
42023
Operating Accelerated Neuromorphic Hardware-A Scalable and Sustainable Approach
CP Mauch
22021
Inference with Artificial Neural Networks on Analog Neuromorphic Hardware
A Emmel, E Müller, O Breitwieser, A Grübl, J Ilmberger, V Karasenko, ...
IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile …, 2021
2021
Demonstrating advantages of neuromorphic computation
T Wunderlich, Á Kungl, E Müller, A Hartel, Y Stradmann, SA Aamir, ...
2019
Department of Physics and Astronomy
C Mauch
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