Julian Göltz

14 papers C 2Journal 10Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Synchronization and semantization in deep spiking networks.
CoRR
Jonas Oberste-Frielinghaus, Anno C. Kurth, Julian Göltz, Laura Kriener, Junji Ito, Mihai A. Petrovici, Sonja Grün
2024 J jnl
DelGrad: Exact gradients in spiking networks for learning transmission delays and weights.
CoRR
Julian Göltz, Jimmy Weber, Laura Kriener, Peter Lake, Melika Payvand, Mihai A. Petrovici
2024 J jnl
Lu.i - A low-cost electronic neuron for education and outreach.
CoRR
Yannik Stradmann, Julian Göltz, Mihai A. Petrovici, Johannes Schemmel, Sebastian Billaudelle
2023 J jnl
Gradient-based methods for spiking physical systems.
CoRR
Julian Göltz, Sebastian Billaudelle, Laura Kriener, Luca Blessing, Christian Pehle, Eric Müller, Johannes Schemmel, Mihai A. Petrovici
2022 J jnl
A Scalable Approach to Modeling on Accelerated Neuromorphic Hardware.
CoRR
Eric Müller, Elias Arnold, Oliver Breitwieser, Milena Czierlinski, Arne Emmel, Jakob Kaiser, Christian Mauch, Sebastian Schmitt, Philipp Spilger, Raphael Stock, Yannik Stradmann, Johannes Weis, Andreas Baumbach, Sebastian Billaudelle, Benjamin Cramer, Falk Leonard Ebert, Julian Göltz, Joscha Ilmberger, Vitali Karasenko, Mitja Kleider, Aron Leibfried, Christian Pehle, Johannes Schemmel
2022 — conf
The Yin-Yang dataset.
NICE
Laura Kriener, Julian Göltz, Mihai A. Petrovici
2021 J jnl
Fast and Energy-efficient Deep Neuromorphic Learning.
ERCIM News
Julian Göltz, Laura Kriener, Virginie Sabado, Mihai A. Petrovici
2021 J jnl
Fast and energy-efficient neuromorphic deep learning with first-spike times.
Nat. Mach. Intell.
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
2021 J jnl
The Yin-Yang dataset.
CoRR
Laura Kriener, Julian Göltz, Mihai A. Petrovici
2020 — conf
Fast and deep neuromorphic learning with first-spike coding.
NICE
Julian Göltz, Andreas Baumbach, Sebastian Billaudelle, Ákos F. Kungl, Oliver Breitwieser, Karlheinz Meier, Johannes Schemmel, Laura Kriener, Mihai A. Petrovici
2020 C conf
Live Demonstration: Versatile Emulation of Spiking Neural Networks on an Accelerated Neuromorphic Substrate.
ISCAS
Sebastian Billaudelle, Yannik Stradmann, Korbinian Schreiber, Benjamin Cramer, Andreas Baumbach, Dominik Dold, Julian Göltz, Ákos Ferenc Kungl, Timo C. Wunderlich, Andreas Hartel, Eric Müller, Oliver Breitwieser, Christian Mauch, Mitja Kleider, Andreas Grübl, David Stöckel, Christian Pehle, Arthur Heimbrecht, Philipp Spilger, Gerd Kiene, Vitali Karasenko, Walter Senn, Mihai A. Petrovici, Johannes Schemmel, Karlheinz Meier
2020 C conf
Versatile Emulation of Spiking Neural Networks on an Accelerated Neuromorphic Substrate.
ISCAS
Sebastian Billaudelle, Yannik Stradmann, Korbinian Schreiber, Benjamin Cramer, Andreas Baumbach, Dominik Dold, Julian Göltz, Ákos Ferenc Kungl, Timo C. Wunderlich, Andreas Hartel, Eric Müller, Oliver Breitwieser, Christian Mauch, Mitja Kleider, Andreas Grübl, David Stöckel, Christian Pehle, Arthur Heimbrecht, Philipp Spilger, Gerd Kiene, Vitali Karasenko, Walter Senn, Mihai A. Petrovici, Johannes Schemmel, Karlheinz Meier
2019 J jnl
Fast and deep neuromorphic learning with time-to-first-spike coding.
CoRR
Julian Göltz, Andreas Baumbach, Sebastian Billaudelle, Oliver Breitwieser, Dominik Dold, Laura Kriener, Ákos Ferenc Kungl, Walter Senn, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici
2019 J jnl
Versatile emulation of spiking neural networks on an accelerated neuromorphic substrate.
CoRR
Sebastian Billaudelle, Yannik Stradmann, Korbinian Schreiber, Benjamin Cramer, Andreas Baumbach, Dominik Dold, Julian Göltz, Ákos F. Kungl, Timo C. Wunderlich, Andreas Hartel, Eric Müller, Oliver Breitwieser, Christian Mauch, Mitja Kleider, Andreas Grübl, David Stöckel, Christian Pehle, Arthur Heimbrecht, Philipp Spilger, Gerd Kiene, Vitali Karasenko, Walter Senn, Mihai A. Petrovici, Johannes Schemmel, Karlheinz Meier