Generative models on accelerated neuromorphic hardware. - Ákos F. Kungl; Sebastian Schmitt; Johann Klähn; Paul Müller 002; Andreas Baumbach; Dominik Dold; Alexander Kugele; Nico Gürtler; Luziwei Leng; Eric Müller 001; Christoph Koke; Mitja Kleider; et al. (CoRR, 2018)

Demonstrating Advantages of Neuromorphic Computation: A Pilot Study. - Timo Wunderlich; Ákos F. Kungl; Eric Müller 001; Andreas Hartel; Yannik Stradmann; Syed Ahmed Aamir; Andreas Grübl; Arthur Heimbrecht; Korbinian Schreiber; David Stöckel; Christian Pehle; Sebastian Billaudelle; et al. (CoRR, 2018)

Brain-Inspired Hardware for Artificial Intelligence: Accelerated Learning in a Physical-Model Spiking Neural Network. - Timo Wunderlich; Ákos F. Kungl; Eric Müller 001; Johannes Schemmel; Mihai A. Petrovici (ICANN (1), 2019)

Fast and deep neuromorphic learning with time-to-first-spike coding. - Julian Göltz; Andreas Baumbach; Sebastian Billaudelle; Oliver Breitwieser; Dominik Dold; Laura Kriener; Ákos Ferenc Kungl; Walter Senn; Johannes Schemmel; Karlheinz Meier; Mihai A. Petrovici (CoRR, 2019)

Stochasticity from function - Why the Bayesian brain may need no noise. - Dominik Dold; Ilja Bytschok; Ákos F. Kungl; Andreas Baumbach; Oliver Breitwieser; Walter Senn; Johannes Schemmel; Karlheinz Meier; Mihai A. Petrovici (Neural Networks, 2019)

Versatile Emulation of Spiking Neural Networks on an Accelerated Neuromorphic Substrate. - Sebastian Billaudelle; Yannik Stradmann; Korbinian Schreiber; Benjamin Cramer; Andreas Baumbach; Dominik Dold; Julian Göltz; Ákos Ferenc Kungl; Timo C. Wunderlich; Andreas Hartel; Eric Müller 001; Oliver Breitwieser; et al. (ISCAS, 2020)

Live Demonstration: Versatile Emulation of Spiking Neural Networks on an Accelerated Neuromorphic Substrate. - Sebastian Billaudelle; Yannik Stradmann; Korbinian Schreiber; Benjamin Cramer; Andreas Baumbach; Dominik Dold; Julian Göltz; Ákos Ferenc Kungl; Timo C. Wunderlich; Andreas Hartel; Eric Müller 001; Oliver Breitwieser; et al. (ISCAS, 2020)

Fast and deep neuromorphic learning with first-spike coding. - Julian Göltz; Andreas Baumbach; Sebastian Billaudelle; Ákos F. Kungl; Oliver Breitwieser; Karlheinz Meier; Johannes Schemmel; Laura Kriener; Mihai A. Petrovici (NICE, 2020)

Robust learning algorithms for spiking and rate-based neural networks. - Ákos Ferenc Kungl (2020)

Fast and energy-efficient neuromorphic deep learning with first-spike times. - Julian Göltz; Laura Kriener; Andreas Baumbach; Sebastian Billaudelle; Oliver Breitwieser; Benjamin Cramer; Dominik Dold; Ákos F. Kungl; Walter Senn; Johannes Schemmel; Karlheinz Meier; Mihai A. Petrovici (Nat. Mach. Intell., 2021)

Weight transport through spike timing for robust local gradients. - Timo Gierlich; Andreas Baumbach; Ákos F. Kungl; Kevin Max; Mihai A. Petrovici (CoRR, 2025)