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2020 – today
- 2024
[i8]Yannik Stradmann, Julian Göltz, Mihai A. Petrovici, Johannes Schemmel, Sebastian Billaudelle:
Lu.i - A low-cost electronic neuron for education and outreach. CoRR abs/2404.16664 (2024)- [i7]Julian Göltz, Jimmy Weber, Laura Kriener, Peter Lake, Melika Payvand, Mihai A. Petrovici:
DelGrad: Exact gradients in spiking networks for learning transmission delays and weights. CoRR abs/2404.19165 (2024) - 2023
- [i6]Julian Göltz, Sebastian Billaudelle, Laura Kriener, Luca Blessing, Christian Pehle, Eric Müller, Johannes Schemmel, Mihai A. Petrovici
:
Gradient-based methods for spiking physical systems. CoRR abs/2309.10823 (2023) - 2022
- [c4]Laura Kriener, Julian Göltz, Mihai A. Petrovici:
The Yin-Yang dataset. NICE 2022: 107-111 - [i5]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:
A Scalable Approach to Modeling on Accelerated Neuromorphic Hardware. CoRR abs/2203.11102 (2022) - 2021
- [j1]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:
Fast and energy-efficient neuromorphic deep learning with first-spike times. Nat. Mach. Intell. 3(9): 823-835 (2021) - [i4]Laura Kriener, Julian Göltz, Mihai A. Petrovici:
The Yin-Yang dataset. CoRR abs/2102.08211 (2021) - [i3]Julian Göltz, Laura Kriener, Virginie Sabado, Mihai A. Petrovici:
Fast and Energy-efficient Deep Neuromorphic Learning. ERCIM News 2021(125) (2021) - 2020
- [c3]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:
Versatile Emulation of Spiking Neural Networks on an Accelerated Neuromorphic Substrate. ISCAS 2020: 1-5 - [c2]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:
Live Demonstration: Versatile Emulation of Spiking Neural Networks on an Accelerated Neuromorphic Substrate. ISCAS 2020: 1 - [c1]Julian Göltz, Andreas Baumbach, Sebastian Billaudelle, Ákos F. Kungl, Oliver Breitwieser, Karlheinz Meier, Johannes Schemmel, Laura Kriener, Mihai A. Petrovici:
Fast and deep neuromorphic learning with first-spike coding. NICE 2020: 14:1-14:3
2010 – 2019
- 2019
- [i2]Julian Göltz, Andreas Baumbach, Sebastian Billaudelle, Oliver Breitwieser, Dominik Dold, Laura Kriener, Ákos Ferenc Kungl, Walter Senn, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici:
Fast and deep neuromorphic learning with time-to-first-spike coding. CoRR abs/1912.11443 (2019) - [i1]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:
Versatile emulation of spiking neural networks on an accelerated neuromorphic substrate. CoRR abs/1912.12980 (2019)
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