Sebastian Billaudelle

According to our database, Sebastian Billaudelle authored at least 28 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Qualitative switches in single-neuron spike dynamics on neuromorphic hardware: implementation, impact on network synchronization and relevance for plasticity.

Liz Weerdmeester, Nelson Niemeyer, Paul Pfeiffer, Sebastian Billaudelle, Johannes Schemmel, Jan-Hendrik Schleimer, Susanne Schreiber

Neuromorph. Comput. Eng., March, 2024

Lu.i - A low-cost electronic neuron for education and outreach.

Yannik Stradmann, Julian Göltz, Mihai A. Petrovici, Johannes Schemmel, Sebastian Billaudelle

CoRR, 2024

Emulating insect brains for neuromorphic navigation.

Korbinian Schreiber, Timo Wunderlich, Philipp Spilger, Sebastian Billaudelle, Benjamin Cramer, Yannik Stradmann, Christian Pehle, Eric Müller, Mihai A. Petrovici, Johannes Schemmel, Karlheinz Meier

CoRR, 2024

2023

Gradient-based methods for spiking physical systems.

Julian Göltz, Sebastian Billaudelle, Laura Kriener, Luca Blessing, Christian Pehle, Eric Müller, Johannes Schemmel, Mihai A. Petrovici

CoRR, 2023

A flexible column parallel successive-approximation ADC for hybrid neuromorphic computing.

Philipp Dauer, Milena Czierlinski, Sebastian Billaudelle, Andreas Grübl, Johannes Schemmel

Proceedings of the 18th Conference on Ph.D Research in Microelectronics and Electronics, 2023

2022

From transistors to learning systems: circuits and algorithms for brain-inspired computing / put forward by Sebastian Billaudelle ; referees: Dr. habil. Johannes Schemmel, Prof. Dr. Wolfram Pernice.

Sebastian Billaudelle

PhD thesis, 2022

Surrogate gradients for analog neuromorphic computing.

Benjamin Cramer, Sebastian Billaudelle, Simeon Kanya, Aron Leibfried, Andreas Grübl, Vitali Karasenko, Christian Pehle, Korbinian Schreiber, Yannik Stradmann, Johannes Weis, Johannes Schemmel, Friedemann Zenke

Proc. Natl. Acad. Sci. USA, 2022

Demonstrating Analog Inference on the BrainScaleS-2 Mobile System.

Yannik Stradmann, Sebastian Billaudelle, Oliver Breitwieser, Falk Leonard Ebert, Arne Emmel, Dan Husmann, Joscha Ilmberger, Eric Müller, Philipp Spilger, Johannes Weis, Johannes Schemmel

IEEE Open J. Circuits Syst., 2022

The operating system of the neuromorphic BrainScaleS-1 system.

Eric Müller, Sebastian Schmitt, Christian Mauch, Sebastian Billaudelle, Andreas Grübl, Maurice Güttler, Dan Husmann, Joscha Ilmberger, Sebastian Jeltsch, Jakob Kaiser, Johann Klähn, Mitja Kleider, Christoph Koke, José Montes, Paul Müller, Johannes Partzsch, Felix Passenberg, Hartmut Schmidt, Bernhard Vogginger, Jonas Weidner, Christian Mayr, Johannes Schemmel

Neurocomputing, 2022

A Scalable Approach to Modeling on Accelerated Neuromorphic Hardware.

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

CoRR, 2022

The BrainScaleS-2 accelerated neuromorphic system with hybrid plasticity.

Christian Pehle, Sebastian Billaudelle, Benjamin Cramer, Jakob Kaiser, Korbinian Schreiber, Yannik Stradmann, Johannes Weis, Aron Leibfried, Eric Müller, Johannes Schemmel

CoRR, 2022

An accurate and flexible analog emulation of AdEx neuron dynamics in silicon.

Sebastian Billaudelle, Johannes Weis, Philipp Dauer, Johannes Schemmel

Proceedings of the 29th IEEE International Conference on Electronics, Circuits and Systems, 2022

2021

Structural plasticity on an accelerated analog neuromorphic hardware system.

Sebastian Billaudelle, Benjamin Cramer, Mihai A. Petrovici, Korbinian Schreiber, David Kappel, Johannes Schemmel, Karlheinz Meier

Neural Networks, 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

BrainScaleS: Greater Versatility for Neuromorphic Emulation.

Andreas Baumbach, Sebastian Billaudelle, Virginie Sabado, Mihai A. Petrovici

ERCIM News, 2021

2020

Correction to: Verification and Design Methods for the BrainScaleS Neuromorphic Hardware System.

Andreas Grübl, Sebastian Billaudelle, Benjamin Cramer, Vitali Karasenko, Johannes Schemmel

J. Signal Process. Syst., 2020

Verification and Design Methods for the BrainScaleS Neuromorphic Hardware System.

Andreas Grübl, Sebastian Billaudelle, Benjamin Cramer, Vitali Karasenko, Johannes Schemmel

J. Signal Process. Syst., 2020

Spiking neuromorphic chip learns entangled quantum states.

Stefanie Czischek, Andreas Baumbach, Sebastian Billaudelle, Benjamin Cramer, Lukas Kades, Jan M. Pawlowski, Markus K. Oberthaler, Johannes Schemmel, Mihai A. Petrovici, Thomas Gasenzer, Martin Gärttner

CoRR, 2020

Training spiking multi-layer networks with surrogate gradients on an analog neuromorphic substrate.

Benjamin Cramer, Sebastian Billaudelle, Simeon Kanya, Aron Leibfried, Andreas Grübl, Vitali Karasenko, Christian Pehle, Korbinian Schreiber, Yannik Stradmann, Johannes Weis, Johannes Schemmel, Friedemann Zenke

CoRR, 2020

Accelerated Analog Neuromorphic Computing.

Johannes Schemmel, Sebastian Billaudelle, Philipp Dauer, Johannes Weis

CoRR, 2020

Inference with Artificial Neural Networks on Analog Neuromorphic Hardware.

Johannes Weis, Philipp Spilger, Sebastian Billaudelle, Yannik Stradmann, Arne Emmel, Eric Müller, Oliver Breitwieser, Andreas Grübl, Joscha Ilmberger, Vitali Karasenko, Mitja Kleider, Christian Mauch, Korbinian Schreiber, Johannes Schemmel

Proceedings of the IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning, 2020

hxtorch: PyTorch for BrainScaleS-2 - Perceptrons on Analog Neuromorphic Hardware.

Philipp Spilger, Eric Müller, Arne Emmel, Aron Leibfried, Christian Mauch, Christian Pehle, Johannes Weis, Oliver Breitwieser, Sebastian Billaudelle, Sebastian Schmitt, Timo C. Wunderlich, Yannik Stradmann, Johannes Schemmel

Proceedings of the IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning, 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

Proceedings of the NICE '20: Neuro-inspired Computational Elements Workshop, 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, 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

Proceedings of the IEEE International Symposium on Circuits and Systems, 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, 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

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

2019

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

2018

Demonstrating Advantages of Neuromorphic Computation: A Pilot Study.

Timo Wunderlich, Ákos F. Kungl, Eric Müller, Andreas Hartel, Yannik Stradmann, Syed Ahmed Aamir, Andreas Grübl, Arthur Heimbrecht, Korbinian Schreiber, David Stöckel, Christian Pehle, Sebastian Billaudelle, Gerd Kiene, Christian Mauch, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici

CoRR, 2018

2015

Porting HTM Models to the Heidelberg Neuromorphic Computing Platform.

Sebastian Billaudelle, Subutai Ahmad

CoRR, 2015