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)

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)

Fast and Energy-efficient Deep Neuromorphic Learning. - Julian Göltz; Laura Kriener; Virginie Sabado; Mihai A. Petrovici (ERCIM News, 2021)

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)

The Yin-Yang dataset. - Laura Kriener; Julian Göltz; Mihai A. Petrovici (NICE, 2022)

A Scalable Approach to Modeling on Accelerated Neuromorphic Hardware. - Eric Müller 001; Elias Arnold; Oliver Breitwieser; Milena Czierlinski; Arne Emmel; Jakob Kaiser; Christian Mauch; Sebastian Schmitt; Philipp Spilger; Raphael Stock; Yannik Stradmann; Johannes Weis; et al. (CoRR, 2022)

Gradient-based methods for spiking physical systems. - Julian Göltz; Sebastian Billaudelle; Laura Kriener; Luca Blessing; Christian Pehle; Eric Müller 001; Johannes Schemmel; Mihai A. Petrovici (CoRR, 2023)

Lu.i - A low-cost electronic neuron for education and outreach. - Yannik Stradmann; Julian Göltz; Mihai A. Petrovici; Johannes Schemmel; Sebastian Billaudelle (CoRR, 2024)

DelGrad: Exact gradients in spiking networks for learning transmission delays and weights. - Julian Göltz; Jimmy Weber; Laura Kriener; Peter Lake; Melika Payvand; Mihai A. Petrovici (CoRR, 2024)