Schemmel, Johannes

Müller, Eric; Arnold, Elias; Breitwieser, Oliver; Czierlinski, Milena; Emmel, Arne; Kaiser, Jakob; Mauch, Christian; Schmitt, Sebastian; Spilger, Philipp; Stock, Raphael; Stradmann, Yannik; Weis, Johannes; Baumbach, Andreas; Billaudelle, Sebastian; Cramer, Benjamin; Ebert, Falk; Göltz, Julian; Ilmberger, Joscha; Karasenko, Vitali; Kleider, Mitja; ... (2022). A Scalable Approach to Modeling on Accelerated Neuromorphic Hardware. Frontiers in neuroscience, 16, p. 884128. Frontiers Research Foundation 10.3389/fnins.2022.884128

Czischek, Stefanie; Baumbach, Andreas; Billaudelle, Sebastian; Cramer, Benjamin; Kades, Lukas; Pawlowski, Jan M.; Oberthaler, Markus; Schemmel, Johannes; Petrovici, Mihai A.; Gasenzer, Thomas; Gärttner, Martin (2022). Spiking neuromorphic chip learns entangled quantum states. SciPost Physics, 12(1) SciPost Foundation 10.21468/SciPostPhys.12.1.039

Billaudelle, Sebastian; Cramer, Benjamin; Petrovici, Mihai A.; Schreiber, Korbinian; Kappel, David; Schemmel, Johannes; Meier, Karlheinz (2021). Structural plasticity on an accelerated analog neuromorphic hardware system. Neural networks, 133, pp. 11-20. Elsevier 10.1016/j.neunet.2020.09.024

Kungl, Akos F.; Schmitt, Sebastian; Klähn, Johann; Müller, Paul; Baumbach, Andreas; Dold, Dominik; Kugele, Alexander; Müller, Eric; Koke, Christoph; Kleider, Mitja; Mauch, Christian; Breitwieser, Oliver; Leng, Luziwei; Gürtler, Nico; Güttler, Maurice; Husmann, Dan; Husmann, Kai; Hartel, Andreas; Karasenko, Vitali; Grübl, Andreas; ... (2019). Accelerated Physical Emulation of Bayesian Inference in Spiking Neural Networks. Frontiers in neuroscience, 13(1201), p. 1201. Frontiers Research Foundation 10.3389/fnins.2019.01201

Wunderlich, Timo; Kungl, Akos F.; Müller, Eric; Hartel, Andreas; Stradmann, Yannik; Aamir, Syed Ahmed; Grübl, Andreas; Heimbrecht, Arthur; Schreiber, Korbinian; Stöckel, David; Pehle, Christian; Billaudelle, Sebastian; Kiene, Gerd; Mauch, Christian; Schemmel, Johannes; Meier, Karlheinz; Petrovici, Mihai A. (2019). Demonstrating Advantages of Neuromorphic Computation: A Pilot Study. Frontiers in neuroscience, 13(260) Frontiers Research Foundation 10.3389/fnins.2019.00260

Jordan, Jakob; Petrovici, Mihai A.; Breitwieser, Oliver; Schemmel, Johannes; Meier, Karlheinz; Diesmann, Markus; Tetzlaff, Tom (2019). Deterministic networks for probabilistic computing. Scientific reports, 9(1), p. 18303. Springer Nature 10.1038/s41598-019-54137-7

Dold, Dominik; Bytschok, Ilja; Kungl, Akos F.; Baumbach, Andreas; Breitwieser, Oliver; Senn, Walter; Schemmel, Johannes; Meier, Karlheinz; Petrovici, Mihai A. (2019). Stochasticity from function — Why the Bayesian brain may need no noise. Neural networks, 119, pp. 200-213. Elsevier 10.1016/j.neunet.2019.08.002

Leng, Luziwei; Martel, Roman; Breitwieser, Oliver; Bytschok, Ilja; Senn, Walter; Schemmel, Johannes; Meier, Karlheinz; Petrovici, Mihai Alexandru (2018). Spiking neurons with short-term synaptic plasticity form superior generative networks. Scientific Reports, 8(1), p. 10651. Nature Publishing Group 10.1038/s41598-018-28999-2

Petrovici, Mihai Alexandru; Schroeder, Anna; Breitwieser, Oliver; Grubl, Andreas; Schemmel, Johannes; Meier, Karlheinz (2017). Robustness from structure: Inference with hierarchical spiking networks on analog neuromorphic hardware. In: 2017 International Joint Conference on Neural Networks (IJCNN) (pp. 2209-2216). IEEE 10.1109/IJCNN.2017.7966123

Schmitt, Sebastian; Klahn, Johann; Bellec, Guillaume; Grubl, Andreas; Guttler, Maurice; Hartel, Andreas; Hartmann, Stephan; Husmann, Dan; Husmann, Kai; Jeltsch, Sebastian; Karasenko, Vitali; Kleider, Mitja; Koke, Christoph; Kononov, Alexander; Mauch, Christian; Muller, Eric; Muller, Paul; Partzsch, Johannes; Petrovici, Mihai Alexandru; Schiefer, Stefan; ... (2017). Neuromorphic hardware in the loop: Training a deep spiking network on the BrainScaleS wafer-scale system. In: 2017 International Joint Conference on Neural Networks (IJCNN) (pp. 2227-2234). IEEE 10.1109/IJCNN.2017.7966125