Johannes Schemmel
Affiliations: | Department of Physics | Ruprecht-Karls-University Heidelberg, Heidelberg, Baden-Württemberg, Germany |
Google:
"Johannes Schemmel"Mean distance: (not calculated yet)
BETA: Related publications
See more...
Publications
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
Pehle C, Billaudelle S, Cramer B, et al. (2022) The BrainScaleS-2 Accelerated Neuromorphic System With Hybrid Plasticity. Frontiers in Neuroscience. 16: 795876 |
Billaudelle S, Cramer B, Petrovici MA, et al. (2021) Structural plasticity on an accelerated analog neuromorphic hardware system. Neural Networks : the Official Journal of the International Neural Network Society. 133: 11-20 |
Cramer B, Stradmann Y, Schemmel J, et al. (2020) The Heidelberg Spiking Data Sets for the Systematic Evaluation of Spiking Neural Networks. Ieee Transactions On Neural Networks and Learning Systems |
Cramer B, Stöckel D, Kreft M, et al. (2020) Control of criticality and computation in spiking neuromorphic networks with plasticity. Nature Communications. 11: 2853 |
Schreiber K, Wunderlich TC, Pehle C, et al. (2020) Closed-loop experiments on the BrainScaleS-2 architecture Arxiv: Neurons and Cognition |
Grübl A, Billaudelle S, Cramer B, et al. (2020) Verification and Design Methods for the BrainScaleS Neuromorphic Hardware System Journal of Signal Processing Systems. 1-16 |
Kungl AF, Schmitt S, Klähn J, et al. (2019) Accelerated Physical Emulation of Bayesian Inference in Spiking Neural Networks. Frontiers in Neuroscience. 13: 1201 |
Jordan J, Petrovici MA, Breitwieser O, et al. (2019) Deterministic networks for probabilistic computing. Scientific Reports. 9: 18303 |
Dold D, Bytschok I, Kungl AF, et al. (2019) Stochasticity from function - Why the Bayesian brain may need no noise. Neural Networks : the Official Journal of the International Neural Network Society. 119: 200-213 |
Wunderlich T, Kungl AF, Müller E, et al. (2019) Demonstrating Advantages of Neuromorphic Computation: A Pilot Study. Frontiers in Neuroscience. 13: 260 |