Johannes Schemmel

Department of Physics Ruprecht-Karls-University Heidelberg, Heidelberg, Baden-Württemberg, Germany 
"Johannes Schemmel"
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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
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