Towards biologically realistic multi-compartment neuron model emulation in analog VLSI. - Sebastian Millner; Andreas Hartel; Johannes Schemmel; Karlheinz Meier (ESANN, 2012)

An analog dynamic memory array for neuromorphic hardware. - Matthias Hock; Andreas Hartel; Johannes Schemmel; Karlheinz Meier (ECCTD, 2013)

A highly tunable 65-nm CMOS LIF neuron for a large scale neuromorphic system. - Syed Ahmed Aamir; Paul Müller 002; Andreas Hartel; Johannes Schemmel; Karlheinz Meier (ESSCIRC, 2016)

Implementation and characterization of mixed-signal neuromorphic ASICs. - Andreas Hartel (2016)

Neuromorphic hardware in the loop: Training a deep spiking network on the BrainScaleS wafer-scale system. - Sebastian Schmitt; Johann Klähn; Guillaume Bellec; Andreas Grübl; Maurice Güttler; Andreas Hartel; Stephan Hartmann 002; Dan Husmann de Oliveira; Kai Husmann; Sebastian Jeltsch; Vitali Karasenko; Mitja Kleider; et al. (IJCNN, 2017)

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

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)

Neuromorphic Hardware In The Loop: Training a Deep Spiking Network on the BrainScaleS Wafer-Scale System. - Sebastian Schmitt; Johann Klaehn; Guillaume Bellec; Andreas Grübl; Maurice Guettler; Andreas Hartel; Stephan Hartmann 002; Dan Husmann de Oliveira; Kai Husmann; Vitali Karasenko; Mitja Kleider; Christoph Koke; et al. (CoRR, 2017)

Demonstrating Hybrid Learning in a Flexible Neuromorphic Hardware System. - Simon Friedmann; Johannes Schemmel; Andreas Grübl; Andreas Hartel; Matthias Hock; Karlheinz Meier (IEEE Trans. Biomed. Circuits Syst., 2017)

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)

An Accelerated LIF Neuronal Network Array for a Large-Scale Mixed-Signal Neuromorphic Architecture. - Syed Ahmed Aamir; Yannik Stradmann; Paul Müller 002; Christian Pehle; Andreas Hartel; Andreas Grübl; Johannes Schemmel; Karlheinz Meier (IEEE Trans. Circuits Syst. I Regul. Pap., 2018)

Explainable Online Validation of Machine Learning Models for Practical Applications. - Wolfgang Fuhl; Yao Rong; Thomas Motz; Michael Scheidt; Andreas Hartel; Andreas Koch; Enkelejda Kasneci (ICPR, 2020)

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)

Deep learning-based position detection for hydraulic cylinders using scattering parameters. - Chen Xin 002; Thomas Motz; Wolfgang Fuhl; Andreas Hartel; Enkelejda Kasneci (Expert Syst. Appl., 2023)

OCDet: Object Center Detection via Bounding Box-Aware Heatmap Prediction on Edge Devices with NPUs. - Chen Xin 002; Thomas Motz; Andreas Hartel; Enkelejda Kasneci (CoRR, 2024)

DART: An automated end-to-end object detection pipeline with data Diversification, open-vocabulary bounding box Annotation, pseudo-label Review, and model Training. - Chen Xin 002; Andreas Hartel; Enkelejda Kasneci (Expert Syst. Appl., 2024)