Kungl, Akos Ferenc

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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


Billaudelle, S.; Stradmann, Y.; Schreiber, K.; Cramer, B.; Baumbach, A.; Dold, D.; Goltz, J.; Kungl, A.F.; Wunderlich, T. C.; Hartel, A.; Muller, E.; Breitwieser, O.; Mauch, C.; Kleider, M.; Grubl, A.; Stockel, D.; Pehle, C.; Heimbrecht, A.; Spilger, P.; Kiene, G.; ... (2020). Versatile Emulation of Spiking Neural Networks on an Accelerated Neuromorphic Substrate. IEEE Xplore, pp. 1-5. IEEE 10.1109/ISCAS45731.2020.9180741


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

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