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Christian Pehle
Christian Pehle
Bestätigte E-Mail-Adresse bei kip.uni-heidelberg.de - Startseite
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Zitiert von
Zitiert von
Jahr
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
1002019
An accelerated LIF neuronal network array for a large-scale mixed-signal neuromorphic architecture
SA Aamir, Y Stradmann, P Müller, C Pehle, A Hartel, A Grübl, J Schemmel, ...
IEEE Transactions on Circuits and Systems I: Regular Papers 65 (12), 4299-4312, 2018
922018
Chow groups, Deligne cohomology and massless matter in F-theory
M Bies, C Mayrhofer, C Pehle, T Weigand
arXiv preprint arXiv:1402.5144, 2014
56*2014
Event-based backpropagation can compute exact gradients for spiking neural networks
TC Wunderlich, C Pehle
Scientific Reports 11 (1), 12829, 2021
512021
Surrogate gradients for analog neuromorphic computing
B Cramer, S Billaudelle, S Kanya, A Leibfried, A Grübl, V Karasenko, ...
Proceedings of the National Academy of Sciences 119 (4), 2022
50*2022
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
442020
Neuromorphic hardware learns to learn
T Bohnstingl, F Scherr, C Pehle, K Meier, W Maass
Frontiers in neuroscience 13, 483, 2019
412019
Norse - A deep learning library for spiking neural networks
C Pehle, JE Pedersen
https://doi. org/10.5281/zenodo, 2021
29*2021
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, 2022
262022
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
192020
Emulating quantum computation with artificial neural networks
C Pehle, K Meier, M Oberthaler, C Wetterich
arXiv preprint arXiv:1810.10335, 2018
92018
Neuromorphic quantum computing
C Pehle, C Wetterich
Physical Review E 106 (4), 045311, 2022
62022
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, 2022
62022
Closed-loop experiments on the BrainScaleS-2 architecture
K Schreiber, TC Wunderlich, C Pehle, MA Petrovici, J Schemmel, K Meier
Proceedings of the Neuro-inspired Computational Elements Workshop, 1-3, 2020
42020
Insectoid path integration on accelerated neuromorphic hardware
K Schreiber, T Wunderlich, P Spilger, S Billaudelle, B Cramer, ...
Google Scholar, 2022
32022
Adjoint equations of spiking neural networks
CG Pehle
22021
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
arXiv preprint arXiv:2212.12210, 2022
2022
Gradient Computation With Sparse Observations for Analog Neuromorphic Hardware
L Blessing, E Arnold, E Müller, J Schemmel, C Pehle
2022
Globale p-Erweiterungen
C Pehle, T Wunder
2010
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