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Yannik Stradmann
Yannik Stradmann
Kirchhoff-Institute for Physics, Heidelberg University
Bestätigte E-Mail-Adresse bei kip.uni-heidelberg.de
Titel
Zitiert von
Zitiert von
Jahr
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
1842020
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
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
113*2022
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
1112022
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
1102018
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
562018
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
552020
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
242020
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, 690, 2022
202022
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
Demonstrating analog inference on the BrainScaleS-2 mobile system
Y Stradmann, S Billaudelle, O Breitwieser, FL Ebert, A Emmel, ...
IEEE Open Journal of Circuits and Systems 3, 252-262, 2022
132022
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
Machine Learning and Principles and Practice of Knowledge Discovery in …, 2021
72021
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
72016
Emulating insect brains for neuromorphic navigation
K Schreiber, T Wunderlich, P Spilger, S Billaudelle, B Cramer, ...
arXiv preprint arXiv:2401.00473, 2023
3*2023
Biomorphic control for high-speed robotic applications
Y Stradmann, J Schemmel
7th HBP Student Conference on Interdisciplinary Brain Research, 277-281, 2023
22023
Verification and Commissioning of Mixed-Signal Neuromorphic Substrates
Y Stradmann
Master's Thesis. Ruprecht-Karls-Universität Heidelberg., 2019
22019
Lu. i – A low-cost electronic neuron for education and outreach
Y Stradmann, J Göltz, MA Petrovici, J Schemmel, S Billaudelle
arXiv preprint arXiv:2404.16664, 2024
2024
Closing the loop: High-speed robotics with accelerated neuromorphic hardware
Y Stradmann, J Schemmel
Frontiers in Neuroscience 18, 1360122, 2024
2024
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