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Yannik Stradmann
Yannik Stradmann
Kirchhoff-Institute for Physics, Heidelberg University
Verified email at kip.uni-heidelberg.de
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Cited by
Cited by
Year
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
802019
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
792018
The Heidelberg Spiking Data Sets for the Systematic Evaluation of Spiking Neural Networks
B Cramer, Y Stradmann, J Schemmel, F Zenke
IEEE Transactions on Neural Networks and Learning Systems, 2020
462020
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
382020
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
32*2022
A Mixed-Signal Structured AdEx Neuron for Accelerated Neuromorphic Cores
SA Aamir, P Müller, G Kiene, L Kriener, Y Stradmann, A Grübl, ...
IEEE transactions on biomedical circuits and systems 12 (5), 1027-1037, 2018
312018
hxtorch: PyTorch for BrainScaleS-2
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
112020
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
82020
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
62022
Characterization and Calibration of a Mixed-Signal Leaky Integrate and Fire Neuron on HICANN-DLS
Y Stradmann
Bachelor's Thesis. Ruprecht-Karls-Universität Heidelberg., 2016
62016
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
32022
Demonstrating Analog Inference on the BrainScaleS-2 Mobile System
Y Stradmann, S Billaudelle, O Breitwieser, FL Ebert, A Emmel, ...
arXiv preprint arXiv:2103.15960, 2021
32021
Towards Addressing Noise and Static Variations of Analog Computations Using Efficient Retraining
B Klein, L Kuhn, J Weis, A Emmel, Y Stradmann, J Schemmel, H Fröning
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021
12021
Verification and Commissioning of Mixed-Signal Neuromorphic Substrates
Y Stradmann
Master's Thesis. Ruprecht-Karls-Universität Heidelberg., 2019
2019
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