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Göltz, J.; Kriener, L.; Baumbach, A.; Billaudelle, S.; Breitwieser, O.; Cramer, B.; Dold, D.; Kungl, A. F.; Senn, W.; Schemmel, J.; Meier, K.; Petrovici, M. A. (2021). Fast and energy-efficient neuromorphic deep learning with first-spike times. Nature machine intelligence, 3(9), pp. 823-835. Springer Nature 10.1038/s42256-021-00388-x
Kriener, Laura; Göltz, Julian; Petrovici, Mihai A. (28 March 2022). The Yin-Yang dataset. In: NICE 2022: 9th Annual Neuro-Inspired Computational Elements Conference. Neuro-Inspired Computational Elements Conference (pp. 107-111). ACM 10.1145/3517343.3517380
Haider, Paul; Ellenberger, Benjamin; Kriener, Laura; Jordan, Jakob; Senn, Walter; Petrovici, Mihai A. (2021). Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons. Advances in Neural Information Processing Systems (NIPS), 35. MIT Press
