Pattern representation and recognition with accelerated analog neuromorphic systems. - Mihai A. Petrovici; Sebastian Schmitt; Johann Klähn; David Stöckel; Anna Schroeder; Guillaume Bellec; Johannes Bill; Oliver Breitwieser; Ilja Bytschok; Andreas Grübl; Maurice Güttler; Andreas Hartel; et al. (CoRR, 2017)

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)

Control of criticality and computation in spiking neuromorphic networks with plasticity. - Benjamin Cramer; David Stöckel; Markus Kreft; Johannes Schemmel; Karlheinz Meier; Viola Priesemann (CoRR, 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)

Extending BrainScaleS OS for BrainScaleS-2. - Eric Müller 001; Christian Mauch; Philipp Spilger; Oliver Julien Breitwieser; Johann Klähn; David Stöckel; Timo Wunderlich; Johannes Schemmel (CoRR, 2020)

DeepHybrid: Deep Learning on Automotive Radar Spectra and Reflections for Object Classification. - Adriana-Eliza Cozma; Lisa Morgan; Martin Stolz; David Stöckel; Kilian Rambach (ITSC, 2021)