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Korcsak-Gorzo, Agnes; Müller, Michael G; Baumbach, Andreas; Leng, Luziwei; Breitwieser, Oliver J; van Albada, Sacha J; Senn, Walter; Meier, Karlheinz; Legenstein, Robert; Petrovici, Mihai A (2022). Cortical oscillations support sampling-based computations in spiking neural networks. PLoS computational biology, 18(3), e1009753. Public Library of Science 10.1371/journal.pcbi.1009753
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
