Johannes Schemmel

ORCID

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 80

Top Venues

University of Heidelberg, Germany (PHD)

Education History

University of Heidelberg, Germany

PHD

Publications

Eric Müller, Moritz Althaus, Elias Arnold, Philipp Spilger, Christian Pehle, Johannes Schemmel
jaxsnn: Event-driven Gradient Estimation for Analog Neuromorphic Hardware. CoRR (2024)
Korbinian Schreiber, Timo Wunderlich, Philipp Spilger, Sebastian Billaudelle, Benjamin Cramer, Yannik Stradmann, Christian Pehle, Eric Müller, Mihai A. Petrovici, Johannes Schemmel, Karlheinz Meier
Emulating insect brains for neuromorphic navigation. CoRR (2024)
Elias Arnold, Philipp Spilger, Jan V. Straub, Eric Müller, Dominik Dold, Gabriele Meoni, Johannes Schemmel
Towards Large-scale Network Emulation on Analog Neuromorphic Hardware. CoRR (2024)
Hartmut Schmidt, José Montes, Andreas Grübl, Maurice Güttler, Dan Husmann, Joscha Ilmberger, Jakob Kaiser, Christian Mauch, Eric Müller, Lars Sterzenbach, Johannes Schemmel, Sebastian Schmitt
From Clean Room to Machine Room: Commissioning of the First-Generation BrainScaleS Wafer-Scale Neuromorphic System. CoRR (2023)
Hartmut Schmidt, José Montes, Andreas Grübl, Maurice Güttler, Dan Husmann, Joscha Ilmberger, Jakob Kaiser, Christian Mauch, Eric Müller, Lars Sterzenbach, Johannes Schemmel, Sebastian Schmitt
From clean room to machine room: commissioning of the first-generation BrainScaleS wafer-scale neuromorphic system. Neuromorph. Comput. Eng. 3 (3) (2023)
Jakob Kaiser, Raphael Stock, Eric Müller, Johannes Schemmel, Sebastian Schmitt
Simulation-based inference for model parameterization on analog neuromorphic hardware. Neuromorph. Comput. Eng. 3 (4) (2023)
Philipp Spilger, Elias Arnold, Luca Blessing, Christian Mauch, Christian Pehle, Eric Müller, Johannes Schemmel
hxtorch.snn: Machine-learning-inspired Spiking Neural Network Modeling on BrainScaleS-2. NICE (2023)
Philipp Dauer, Milena Czierlinski, Sebastian Billaudelle, Andreas Grübl, Johannes Schemmel
A flexible column parallel successive-approximation ADC for hybrid neuromorphic computing. PRIME (2023)
Jakob Kaiser, Raphael Stock, Eric Müller, Johannes Schemmel, Sebastian Schmitt
Simulation-based Inference for Model Parameterization on Analog Neuromorphic Hardware. CoRR (2023)
Georg Böcherer, Florian Strasser, Elias Arnold, Youxi Lin, Johannes Schemmel, Stefano Calabrò, Maxim Kuschnerov
Spiking Neural Network Linear Equalization: Experimental Demonstration of 2km 100Gb/s IM/DD PAM4 Optical Transmission. OFC (2023)
Christian Pehle, Luca Blessing, Elias Arnold, Eric Müller, Johannes Schemmel
Event-based Backpropagation for Analog Neuromorphic Hardware. CoRR (2023)
Jason Yik, Soikat Hasan Ahmed, Zergham Ahmed, Brian Anderson, Andreas G. Andreou, Chiara Bartolozzi, Arindam Basu, Douwe den Blanken, Petrut Bogdan, Sander M. Bohté, Younes Bouhadjar, Sonia M. Buckley, Gert Cauwenberghs, Federico Corradi, Guido de Croon, Andreea Danielescu, Anurag Reddy Daram, Mike Davies, Yigit Demirag, Jason Eshraghian, Jeremy Forest, Steve B. Furber, Michael Furlong, Aditya Gilra, Giacomo Indiveri, Siddharth Joshi, Vedant Karia, Lyes Khacef, James C. Knight, Laura Kriener, Rajkumar Kubendran, Dhireesha Kudithipudi, Gregor Lenz, Rajit Manohar, Christian Mayr, Konstantinos P. Michmizos, Dylan R. Muir, Emre Neftci, Thomas Nowotny, Fabrizio Ottati, Ayça Özcelikkale, Noah Pacik-Nelson, Priyadarshini Panda, Pao-Sheng Sun, Melika Payvand, Christian Pehle, Mihai A. Petrovici, Christoph Posch, Alpha Renner, Yulia Sandamirskaya, Clemens JS Schaefer, André van Schaik, Johannes Schemmel, Catherine D. Schuman, Jae-sun Seo, Sumit Bam Shrestha, Manolis Sifalakis, Amos Sironi, Kenneth Stewart, Terrence C. Stewart, Philipp Stratmann, Guangzhi Tang, Jonathan Timcheck, Marian Verhelst, Craig M. Vineyard, Bernhard Vogginger, Amirreza Yousefzadeh, Biyan Zhou, Fatima Tuz Zohora, Charlotte Frenkel, Vijay Janapa Reddi
NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking. CoRR (2023)
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 (2023)
Philipp Spilger, Elias Arnold, Luca Blessing, Christian Mauch, Christian Pehle, Eric Müller, Johannes Schemmel
hxtorch.snn: Machine-learning-inspired Spiking Neural Network Modeling on BrainScaleS-2. CoRR (2022)
Benjamin Cramer, Sebastian Billaudelle, Simeon Kanya, Aron Leibfried, Andreas Grübl, Vitali Karasenko, Christian Pehle, Korbinian Schreiber, Yannik Stradmann, Johannes Weis, Johannes Schemmel, Friedemann Zenke
Surrogate gradients for analog neuromorphic computing. Proc. Natl. Acad. Sci. USA 119 (4) (2022)
Sebastian Billaudelle, Johannes Weis, Philipp Dauer, Johannes Schemmel
An accurate and flexible analog emulation of AdEx neuron dynamics in silicon. ICECS 2022 (2022)
Tobias Thommes, Sven Bordukat, Andreas Grübl, Vitali Karasenko, Eric Müller, Johannes Schemmel
Demonstrating BrainScaleS 2 Inter-Chip Pulse Communication using Extoll. CoRR (2022)
Tobias Thommes, Sven Bordukat, Andreas Grübl, Vitali Karasenko, Eric Müller, Johannes Schemmel
Demonstrating BrainScaleS-2 Inter-Chip Pulse-Communication using EXTOLL. NICE (2022)
Christian Pehle, Sebastian Billaudelle, Benjamin Cramer, Jakob Kaiser, Korbinian Schreiber, Yannik Stradmann, Johannes Weis, Aron Leibfried, Eric Müller, Johannes Schemmel
The BrainScaleS-2 accelerated neuromorphic system with hybrid plasticity. CoRR (2022)
Yannik Stradmann, Sebastian Billaudelle, Oliver Breitwieser, Falk Leonard Ebert, Arne Emmel, Dan Husmann, Joscha Ilmberger, Eric Müller, Philipp Spilger, Johannes Weis, Johannes Schemmel
Demonstrating Analog Inference on the BrainScaleS-2 Mobile System. IEEE Open J. Circuits Syst. 3 (2022)
Sebastian Billaudelle, Johannes Weis, Philipp Dauer, Johannes Schemmel
An accurate and flexible analog emulation of AdEx neuron dynamics in silicon. CoRR (2022)
Elias Arnold, Georg Böcherer, Eric Müller, Philipp Spilger, Johannes Schemmel, Stefano Calabrò, Maxim Kuschnerov
Spiking Neural Network Equalization for IM/DD Optical Communication. CoRR (2022)
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
The operating system of the neuromorphic BrainScaleS-1 system. Neurocomputing 501 (2022)
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 (2022)
Benjamin Cramer, Yannik Stradmann, Johannes Schemmel, Friedemann Zenke
The Heidelberg Spiking Data Sets for the Systematic Evaluation of Spiking Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 33 (7) (2022)
Johannes Schemmel
The BrainScaleS Accelerated Analogue Neuromorphic Architecture. ERCIM News 2021 (125) (2021)
Tobias Thommes, Niels Buwen, Andreas Grübl, Eric Müller, Ulrich Brüning, Johannes Schemmel
BrainScaleS Large Scale Spike Communication using Extoll. CoRR (2021)
Yannik Stradmann, Sebastian Billaudelle, Oliver Breitwieser, Falk Leonard Ebert, Arne Emmel, Dan Husmann de Oliveira, Joscha Ilmberger, Eric Müller, Philipp Spilger, Johannes Weis, Johannes Schemmel
Demonstrating Analog Inference on the BrainScaleS-2 Mobile System. CoRR (2021)
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) (2021)
Sebastian Billaudelle, Benjamin Cramer, Mihai A. Petrovici, Korbinian Schreiber, David Kappel, Johannes Schemmel, Karlheinz Meier
Structural plasticity on an accelerated analog neuromorphic hardware system. Neural Networks 133 (2021)
Bernhard Klein, Lisa Kuhn, Johannes Weis, Arne Emmel, Yannik Stradmann, Johannes Schemmel, Holger Fröning
Towards Addressing Noise and Static Variations of Analog Computations Using Efficient Retraining. PKDD/ECML Workshops (1) (2021)
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)
Johannes Schemmel, Sebastian Billaudelle, Phillip Dauer, Johannes Weis
Accelerated Analog Neuromorphic Computing. CoRR (2020)
Korbinian Schreiber, Timo C. Wunderlich, Christian Pehle, Mihai A. Petrovici, Johannes Schemmel, Karlheinz Meier
Closed-loop experiments on the BrainScaleS-2 architecture. NICE (2020)
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
Inference with Artificial Neural Networks on Analog Neuromorphic Hardware. CoRR (2020)
Andreas Grübl, Sebastian Billaudelle, Benjamin Cramer, Vitali Karasenko, Johannes Schemmel
Verification and Design Methods for the BrainScaleS Neuromorphic Hardware System. CoRR (2020)
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
hxtorch: PyTorch for BrainScaleS-2 - Perceptrons on Analog Neuromorphic Hardware. IoT Streams/ITEM@PKDD/ECML (2020)
Benjamin Cramer, Sebastian Billaudelle, Simeon Kanya, Aron Leibfried, Andreas Grübl, Vitali Karasenko, Christian Pehle, Korbinian Schreiber, Yannik Stradmann, Johannes Weis, Johannes Schemmel, Friedemann Zenke
Training spiking multi-layer networks with surrogate gradients on an analog neuromorphic substrate. CoRR (2020)
Andreas Grübl, Sebastian Billaudelle, Benjamin Cramer, Vitali Karasenko, Johannes Schemmel
Correction to: Verification and Design Methods for the BrainScaleS Neuromorphic Hardware System. J. Signal Process. Syst. 92 (11) (2020)
Eric Müller, Christian Mauch, Philipp Spilger, Oliver Julien Breitwieser, Johann Klähn, David Stöckel, Timo Wunderlich, Johannes Schemmel
Extending BrainScaleS OS for BrainScaleS-2. CoRR (2020)
Eric Müller, Sebastian Schmitt, Christian Mauch, Sebastian Billaudelle, Andreas Grübl, Maurice Güttler, Dan Husmann de Oliveira, 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
The Operating System of the Neuromorphic BrainScaleS-1 System. CoRR (2020)
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
hxtorch: PyTorch for BrainScaleS-2 - Perceptrons on Analog Neuromorphic Hardware. CoRR (2020)
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)
Andreas Grübl, Sebastian Billaudelle, Benjamin Cramer, Vitali Karasenko, Johannes Schemmel
Verification and Design Methods for the BrainScaleS Neuromorphic Hardware System. J. Signal Process. Syst. 92 (11) (2020)
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
Spiking neuromorphic chip learns entangled quantum states. CoRR (2020)
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
Inference with Artificial Neural Networks on Analog Neuromorphic Hardware. IoT Streams/ITEM@PKDD/ECML (2020)
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)
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 (2019)
Timo C. Wunderlich, Ákos F. Kungl, Eric Müller, Johannes Schemmel, Mihai A. Petrovici
Brain-Inspired Hardware for Artificial Intelligence: Accelerated Learning in a Physical-Model Spiking Neural Network. CoRR (2019)
Timo Wunderlich, Ákos F. Kungl, Eric Müller, Johannes Schemmel, Mihai A. Petrovici
Brain-Inspired Hardware for Artificial Intelligence: Accelerated Learning in a Physical-Model Spiking Neural Network. ICANN (1) (2019)
Sebastian Billaudelle, Benjamin Cramer, Mihai A. Petrovici, Korbinian Schreiber, David Kappel, Johannes Schemmel, Karlheinz Meier
Structural plasticity on an accelerated analog neuromorphic hardware system. CoRR (2019)
Benjamin Cramer, Yannik Stradmann, Johannes Schemmel, Friedemann Zenke
The Heidelberg spiking datasets for the systematic evaluation of spiking neural networks. CoRR (2019)
Benjamin Cramer, David Stöckel, Markus Kreft, Johannes Schemmel, Karlheinz Meier, Viola Priesemann
Control of criticality and computation in spiking neuromorphic networks with plasticity. CoRR (2019)
Dominik Dold, Ilja Bytschok, Ákos F. Kungl, Andreas Baumbach, Oliver Breitwieser, Walter Senn, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici
Stochasticity from function - Why the Bayesian brain may need no noise. Neural Networks 119 (2019)
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 (2019)
Syed Ahmed Aamir, Paul Müller, Gerd Kiene, Laura Kriener, Yannik Stradmann, Johannes Schemmel, Karlheinz Meier
A Mixed-Signal Structured AdEx Neuron for Accelerated Neuromorphic Cores. CoRR (2018)
Syed Ahmed Aamir, Yannik Stradmann, Paul Müller, Christian Pehle, Andreas Hartel, Andreas Grübl, Johannes Schemmel, Karlheinz Meier
An Accelerated LIF Neuronal Network Array for a Large Scale Mixed-Signal Neuromorphic Architecture. CoRR (2018)
Dominik Dold, Ilja Bytschok, Ákos F. Kungl, Andreas Baumbach, Oliver Breitwieser, Walter Senn, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici
Stochasticity from function - why the Bayesian brain may need no noise. CoRR (2018)
Chetan Singh Thakur, Jamal Molin, Gert Cauwenberghs, Giacomo Indiveri, Kundan Kumar, Ning Qiao, Johannes Schemmel, Runchun Wang, Elisabetta Chicca, Jennifer Olson Hasler, Jae-sun Seo, Shimeng Yu, Yu Cao, André van Schaik, Ralph Etienne-Cummings
Large-Scale Neuromorphic Spiking Array Processors: A quest to mimic the brain. CoRR (2018)
Ákos F. Kungl, Sebastian Schmitt, Johann Klähn, Paul Müller, Andreas Baumbach, Dominik Dold, Alexander Kugele, Nico Gürtler, Luziwei Leng, Eric Müller, Christoph Koke, Mitja Kleider, Christian Mauch, Oliver Breitwieser, Maurice Güttler, Dan Husmann de Oliveira, Kai Husmann, Joscha Ilmberger, Andreas Hartel, Vitali Karasenko, Andreas Grübl, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici
Generative models on accelerated neuromorphic hardware. CoRR (2018)
Syed Ahmed Aamir, Paul Müller, Gerd Kiene, Laura Kriener, Yannik Stradmann, Andreas Grübl, Johannes Schemmel, Karlheinz Meier
A Mixed-Signal Structured AdEx Neuron for Accelerated Neuromorphic Cores. IEEE Trans. Biomed. Circuits Syst. 12 (5) (2018)
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
Demonstrating Advantages of Neuromorphic Computation: A Pilot Study. CoRR (2018)
Syed Ahmed Aamir, Yannik Stradmann, Paul Müller, Christian Pehle, Andreas Hartel, Andreas Grübl, Johannes Schemmel, Karlheinz Meier
An Accelerated LIF Neuronal Network Array for a Large-Scale Mixed-Signal Neuromorphic Architecture. IEEE Trans. Circuits Syst. I Regul. Pap. (12) (2018)
Kai Zoschke, Maurice Güttler, Lars Böttcher, Andreas Grübl, Dan Husmann de Oliveira, Johannes Schemmel, Karlheinz Meier, Oswin Ehrmann
Full Wafer Redistribution and Wafer Embedding as Key Technologies for a Multi-Scale Neuromorphic Hardware Cluster. CoRR (2018)
Syed Ahmed Aamir, Paul Müller, Laura Kriener, Gerd Kiene, Johannes Schemmel, Karlheinz Meier
From LIF to AdEx neuron models: Accelerated analog 65 nm CMOS implementation. BioCAS (2017)
Simon Friedmann, Johannes Schemmel, Andreas Grübl, Andreas Hartel, Matthias Hock, Karlheinz Meier
Demonstrating Hybrid Learning in a Flexible Neuromorphic Hardware System. IEEE Trans. Biomed. Circuits Syst. 11 (1) (2017)
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, Stephan Hartmann, Dan Husmann de Oliveira, Kai Husmann, Sebastian Jeltsch, Vitali Karasenko, Mitja Kleider, Christoph Koke, Alexander Kononov, Christian Mauch, Paul Müller, Johannes Partzsch, Thomas Pfeil, Stefan Schiefer, Stefan Scholze, Anand Subramoney, Vasilis N. Thanasoulis, Bernhard Vogginger, Robert Legenstein, Wolfgang Maass, René Schüffny, Christian Mayr, Johannes Schemmel, Karlheinz Meier
Pattern representation and recognition with accelerated analog neuromorphic systems. CoRR (2017)
Johannes Schemmel, Laura Kriener, Paul Müller, Karlheinz Meier
An accelerated analog neuromorphic hardware system emulating NMDA- and calcium-based non-linear dendrites. IJCNN (2017)
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, Stephan Hartmann, Dan Husmann de Oliveira, Kai Husmann, Sebastian Jeltsch, Vitali Karasenko, Mitja Kleider, Christoph Koke, Alexander Kononov, Christian Mauch, Eric Müller, Paul Müller, Johannes Partzsch, Thomas Pfeil, Stefan Schiefer, Stefan Scholze, Anand Subramoney, Vasilis N. Thanasoulis, Bernhard Vogginger, Robert Legenstein, Wolfgang Maass, René Schüffny, Christian Mayr, Johannes Schemmel, Karlheinz Meier
Pattern representation and recognition with accelerated analog neuromorphic systems. ISCAS (2017)
Luziwei Leng, Roman Martel, Oliver Breitwieser, Ilja Bytschok, Walter Senn, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici
Spiking neurons with short-term synaptic plasticity form superior generative networks. CoRR (2017)
Mihai A. Petrovici, Anna Schroeder, Oliver Breitwieser, Andreas Grübl, Johannes Schemmel, Karlheinz Meier
Robustness from structure: Inference with hierarchical spiking networks on analog neuromorphic hardware. IJCNN (2017)
Sebastian Schmitt, Johann Klähn, Guillaume Bellec, Andreas Grübl, Maurice Güttler, Andreas Hartel, Stephan Hartmann, Dan Husmann de Oliveira, Kai Husmann, Sebastian Jeltsch, Vitali Karasenko, Mitja Kleider, Christoph Koke, Alexander Kononov, Christian Mauch, Eric Müller, Paul Müller, Johannes Partzsch, Mihai A. Petrovici, Stefan Schiefer, Stefan Scholze, Vasilis N. Thanasoulis, Bernhard Vogginger, Robert Legenstein, Wolfgang Maass, Christian Mayr, René Schüffny, Johannes Schemmel, Karlheinz Meier
Neuromorphic hardware in the loop: Training a deep spiking network on the BrainScaleS wafer-scale system. IJCNN (2017)
Mihai A. Petrovici, Anna Schroeder, Oliver Breitwieser, Andreas Grübl, Johannes Schemmel, Karlheinz Meier
Robustness from structure: Inference with hierarchical spiking networks on analog neuromorphic hardware. CoRR (2017)
Johannes Schemmel, Laura Kriener, Paul Müller, Karlheinz Meier
An Accelerated Analog Neuromorphic Hardware System Emulating NMDA- and Calcium-Based Non-Linear Dendrites. CoRR (2017)
Sebastian Schmitt, Johann Klaehn, Guillaume Bellec, Andreas Grübl, Maurice Guettler, Andreas Hartel, Stephan Hartmann, Dan Husmann de Oliveira, Kai Husmann, Vitali Karasenko, Mitja Kleider, Christoph Koke, Christian Mauch, Eric Müller, Paul Müller, Johannes Partzsch, Mihai A. Petrovici, Stefan Schiefer, Stefan Scholze, Bernhard Vogginger, Robert Legenstein, Wolfgang Maass, Christian Mayr, Johannes Schemmel, Karlheinz Meier
Neuromorphic Hardware In The Loop: Training a Deep Spiking Network on the BrainScaleS Wafer-Scale System. CoRR (2017)
Mihai A. Petrovici, Johannes Bill, Ilja Bytschok, Johannes Schemmel, Karlheinz Meier
Stochastic inference with spiking neurons in the high-conductance state. CoRR (2016)
Syed Ahmed Aamir, Paul Müller, Andreas Hartel, Johannes Schemmel, Karlheinz Meier
A highly tunable 65-nm CMOS LIF neuron for a large scale neuromorphic system. ESSCIRC (2016)
Simon Friedmann, Johannes Schemmel, Andreas Grübl, Andreas Hartel, Matthias Hock, Karlheinz Meier
Demonstrating Hybrid Learning in a Flexible Neuromorphic Hardware System. CoRR (2016)
Mihai A. Petrovici, Ilja Bytschok, Johannes Bill, Johannes Schemmel, Karlheinz Meier
The high-conductance state enables neural sampling in networks of LIF neurons. CoRR (2016)
Dimitri Probst, Mihai A. Petrovici, Ilja Bytschok, Johannes Bill, Dejan Pecevski, Johannes Schemmel, Karlheinz Meier
Probabilistic inference in discrete spaces can be implemented into networks of LIF neurons. Frontiers Comput. Neurosci. 9 (2015)
Mihai A. Petrovici, Bernhard Vogginger, Paul Müller, Oliver Breitwieser, Mikael Lundqvist, Lyle Muller, Matthias Ehrlich, Alain Destexhe, Anders Lansner, René Schüffny, Johannes Schemmel, Karlheinz Meier
Bridging the gap between software simulation and emulation on neuromorphic hardware: An investigation of causes, effects and compensation of network-level anomalies in a mixed-signal waferscale neuromorphic modeling platform. CoRR (2014)
Matthias Hock, Andreas Hartel, Johannes Schemmel, Karlheinz Meier
An analog dynamic memory array for neuromorphic hardware. ECCTD (2013)
Alexander D. Rast, Johannes Partzsch, Christian Mayr, Johannes Schemmel, Stefan Hartmann, Luis A. Plana, Steve Temple, David R. Lester, René Schüffny, Steve B. Furber
A location-independent direct link neuromorphic interface. IJCNN (2013)
Mihai A. Petrovici, Johannes Bill, Ilja Bytschok, Johannes Schemmel, Karlheinz Meier
Stochastic inference with deterministic spiking neurons. CoRR (2013)
Thomas Pfeil, Anne-Christine Scherzer, Johannes Schemmel, Karlheinz Meier
Neuromorphic learning towards nano second precision. IJCNN (2013)
Sebastian Millner, Andreas Hartel, Johannes Schemmel, Karlheinz Meier
Towards biologically realistic multi-compartment neuron model emulation in analog VLSI. ESANN (2012)
Johannes Schemmel, Andreas Grübl, Stephan Hartmann, Alexander Kononov, Christian Mayr, Karlheinz Meier, Sebastian Millner, Johannes Partzsch, Stefan Schiefer, Stefan Scholze, René Schüffny, Marc-Olivier Schwartz
Live demonstration: A scaled-down version of the BrainScaleS wafer-scale neuromorphic system. ISCAS (2012)
Daniel Brüderle, Mihai A. Petrovici, Bernhard Vogginger, Matthias Ehrlich, Thomas Pfeil, Sebastian Millner, Andreas Grübl, Karsten Wendt, Eric Müller, Marc-Olivier Schwartz, Dan Husmann de Oliveira, Sebastian Jeltsch, Johannes Fieres, Moritz Schilling, Paul Müller, Oliver Breitwieser, Venelin Petkov, Lyle Muller, Andrew P. Davison, Pradeep Krishnamurthy, Jens Kremkow, Mikael Lundqvist, Eilif Mueller, Johannes Partzsch, Stefan Scholze, Lukas Zühl, Christian Mayr, Alain Destexhe, Markus Diesmann, Tobias C. Potjans, Anders Lansner, René Schüffny, Johannes Schemmel, Karlheinz Meier
A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems. Biol. Cybern. 104 (4-5) (2011)
Johannes Schemmel, Daniel Brüderle, Andreas Grübl, Matthias Hock, Karlheinz Meier, Sebastian Millner
A wafer-scale neuromorphic hardware system for large-scale neural modeling. ISCAS (2010)
Sebastian Millner, Andreas Grübl, Karlheinz Meier, Johannes Schemmel, Marc-Olivier Schwartz
A VLSI Implementation of the Adaptive Exponential Integrate-and-Fire Neuron Model. NIPS (2010)
Johannes Bill, Klaus Schuch, Daniel Brüderle, Johannes Schemmel, Wolfgang Maass, Karlheinz Meier
Compensating Inhomogeneities of Neuromorphic VLSI Devices Via Short-Term Synaptic Plasticity. Frontiers Comput. Neurosci. 4 (2010)
Daniel Brüderle, Johannes Bill, Bernhard Kaplan, Jens Kremkow, Karlheinz Meier, Eric Müller, Johannes Schemmel
Live demonstration: Simulator-like exploration of cortical network architectures with a mixed-signal VLSI system. ISCAS (2010)
Daniel Brüderle, Johannes Bill, Bernhard Kaplan, Jens Kremkow, Karlheinz Meier, Eric Müller, Johannes Schemmel
Simulator-like exploration of cortical network architectures with a mixed-signal VLSI system. ISCAS (2010)
Daniel Brüderle, Eric Müller, Andrew P. Davison, Eilif B. Müller, Johannes Schemmel, Karlheinz Meier
Establishing a novel modeling tool: a python-based interface for a neuromorphic hardware system. Frontiers Neuroinformatics 3 (2009)
Bernhard Kaplan, Daniel Brüderle, Johannes Schemmel, Karlheinz Meier
High-conductance states on a neuromorphic hardware system. IJCNN (2009)
Stefan Philipp, Johannes Schemmel, Karlheinz Meier
A QoS network architecture to interconnect large-scale VLSI neural networks. IJCNN (2009)
Johannes Fieres, Johannes Schemmel, Karlheinz Meier
Realizing biological spiking network models in a configurable wafer-scale hardware system. IJCNN (2008)
Johannes Schemmel, Johannes Fieres, Karlheinz Meier
Wafer-scale integration of analog neural networks. IJCNN (2008)
Eilif Mueller, Lars Buesing, Johannes Schemmel, Karlheinz Meier
Spike-Frequency Adapting Neural Ensembles: Beyond Mean Adaptation and Renewal Theories. Neural Comput. 19 (11) (2007)
Daniel Brüderle, Andreas Grübl, Karlheinz Meier, Eilif Mueller, Johannes Schemmel
A Software Framework for Tuning the Dynamics of Neuromorphic Silicon Towards Biology. IWANN (2007)

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Johannes Schemmel