Christian Pehle
Zitiert von
Zitiert von
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
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
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
Event-based backpropagation can compute exact gradients for spiking neural networks
TC Wunderlich, C Pehle
Scientific Reports 11 (1), 12829, 2021
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
Norse - A deep learning library for spiking neural networks
C Pehle, JE Pedersen
https://doi. org/10.5281/zenodo, 2021
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
Chow groups, Deligne cohomology and massless matter in F-theory
M Bies, C Mayrhofer, C Pehle, T Weigand
arXiv preprint arXiv:1402.5144, 2014
Neuromorphic hardware learns to learn
T Bohnstingl, F Scherr, C Pehle, K Meier, W Maass
Frontiers in neuroscience 13, 451952, 2019
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
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
Neurobench: Advancing neuromorphic computing through collaborative, fair and representative benchmarking
J Yik, SH Ahmed, Z Ahmed, B Anderson, AG Andreou, C Bartolozzi, ...
arXiv 2023, 2304.04640 v2, 2023
Emulating quantum computation with artificial neural networks
C Pehle, K Meier, M Oberthaler, C Wetterich
arXiv preprint arXiv:1810.10335, 2018
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
Neuromorphic quantum computing
C Pehle, C Wetterich
Physical Review E 106 (4), 045311, 2022
Closed-loop experiments on the BrainScaleS-2 architecture
K Schreiber, TC Wunderlich, C Pehle, MA Petrovici, J Schemmel, K Meier
Proceedings of the 2020 Annual Neuro-Inspired Computational Elements …, 2020
Event-based backpropagation for analog neuromorphic hardware
C Pehle, L Blessing, E Arnold, E Müller, J Schemmel
arXiv preprint arXiv:2302.07141, 2023
Emulating insect brains for neuromorphic navigation
K Schreiber, T Wunderlich, P Spilger, S Billaudelle, B Cramer, ...
arXiv preprint arXiv:2401.00473, 2023
Adjoint equations of spiking neural networks
CG Pehle
jaxsnn: Event-driven gradient estimation for analog neuromorphic hardware
E Müller, M Althaus, E Arnold, P Spilger, C Pehle, J Schemmel
arXiv preprint arXiv:2401.16841, 2024
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