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ORCIDJohannes Schemmel
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- affiliation: University of Heidelberg, Germany
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2020 – today
- 2024
[j21]Liz Weerdmeester
, Nelson Niemeyer, Paul Pfeiffer, Sebastian Billaudelle, Johannes Schemmel, Jan-Hendrik Schleimer, Susanne Schreiber:
Qualitative switches in single-neuron spike dynamics on neuromorphic hardware: implementation, impact on network synchronization and relevance for plasticity. Neuromorph. Comput. Eng. 4(1): 14009 (2024)- [c55]Eric Müller, Moritz Althaus, Elias Arnold, Philipp Spilger, Christian Pehle, Johannes Schemmel:
jaxsnn: Event-driven Gradient Estimation for Analog Neuromorphic Hardware. NICE 2024: 1-6 - [i49]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 abs/2401.00473 (2024) - [i48]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 abs/2401.16840 (2024) - [i47]Eric Müller, Moritz Althaus, Elias Arnold, Philipp Spilger, Christian Pehle, Johannes Schemmel:
jaxsnn: Event-driven Gradient Estimation for Analog Neuromorphic Hardware. CoRR abs/2401.16841 (2024) - [i46]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) - 2023
- [j20]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): 34013 (2023) - [j19]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): 44006 (2023) - [c54]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: 57-62 - [c53]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: 1-3 - [c52]Philipp Dauer, Milena Czierlinski, Sebastian Billaudelle, Andreas Grübl, Johannes Schemmel:
A flexible column parallel successive-approximation ADC for hybrid neuromorphic computing. PRIME 2023: 157-160 - [d4]Jakob Kaiser, Raphael Stock, Eric Müller, Johannes Schemmel, Sebastian Schmitt:
Simulation-based Inference for Model Parameterization on Analog Neuromorphic Hardware [data]. 1.0. heiDATA, 2023 [all versions]
- [d3]Jakob Kaiser, Raphael Stock, Eric Müller, Johannes Schemmel, Sebastian Schmitt:
Simulation-based Inference for Model Parameterization on Analog Neuromorphic Hardware [data]. 1.1. heiDATA, 2023 [all versions] - [d2]Raphael Stock, Jakob Kaiser, Eric Müller, Johannes Schemmel, Sebastian Schmitt:
Parametrizing Analog Multi-Compartment Neurons with Genetic Algorithms [Data]. heiDATA, 2023 - [i45]Christian Pehle, Luca Blessing, Elias Arnold, Eric Müller, Johannes Schemmel:
Event-based Backpropagation for Analog Neuromorphic Hardware. CoRR abs/2302.07141 (2023) - [i44]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 abs/2303.12359 (2023) - [i43]Jakob Kaiser, Raphael Stock, Eric Müller, Johannes Schemmel, Sebastian Schmitt:
Simulation-based Inference for Model Parameterization on Analog Neuromorphic Hardware. CoRR abs/2303.16056 (2023) - [i42]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 Michael 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 abs/2304.04640 (2023) - [i41]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
- [j18]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: 790-810 (2022) - [j17]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: 252-262 (2022) - [j16]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): e2109194119 (2022) - [j15]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): 2744-2757 (2022) - [c51]Sebastian Billaudelle, Johannes Weis, Philipp Dauer, Johannes Schemmel:
An accurate and flexible analog emulation of AdEx neuron dynamics in silicon. ICECS 2022 2022: 1-4 - [c50]Tobias Thommes, Sven Bordukat, Andreas Grübl, Vitali Karasenko, Eric Müller, Johannes Schemmel:
Demonstrating BrainScaleS-2 Inter-Chip Pulse-Communication using EXTOLL. NICE 2022: 98-100 - [d1]Benjamin Cramer, Yannik Stradmann, Johannes Schemmel, Friedemann Zenke:
Heidelberg Spiking Datasets. IEEE DataPort, 2022 - [i40]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 abs/2201.11063 (2022) - [i39]Tobias Thommes, Sven Bordukat, Andreas Grübl, Vitali Karasenko, Eric Müller, Johannes Schemmel:
Demonstrating BrainScaleS 2 Inter-Chip Pulse Communication using Extoll. CoRR abs/2202.12122 (2022) - [i38]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) - [i37]Elias Arnold, Georg Böcherer, Eric Müller, Philipp Spilger, Johannes Schemmel, Stefano Calabrò, Maxim Kuschnerov:
Spiking Neural Network Equalization for IM/DD Optical Communication. CoRR abs/2205.04263 (2022) - [i36]Sebastian Billaudelle, Johannes Weis, Philipp Dauer, Johannes Schemmel:
An accurate and flexible analog emulation of AdEx neuron dynamics in silicon. CoRR abs/2209.09280 (2022) - [i35]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 abs/2212.12210 (2022) - 2021
- [j14]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) - [j13]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: 11-20 (2021) - [c49]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: 409-420 - [i34]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 abs/2103.15960 (2021) - [i33]Tobias Thommes, Niels Buwen, Andreas Grübl, Eric Müller, Ulrich Brüning, Johannes Schemmel:
BrainScaleS Large Scale Spike Communication using Extoll. CoRR abs/2111.15296 (2021) - [i32]Johannes Schemmel:
The BrainScaleS Accelerated Analogue Neuromorphic Architecture. ERCIM News 2021(125) (2021) - 2020
- [j12]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): 1277-1292 (2020) - [j11]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): 1345 (2020) - [c48]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 - [c47]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 - [c46]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 - [c45]Korbinian Schreiber, Timo C. Wunderlich, Christian Pehle, Mihai A. Petrovici, Johannes Schemmel, Karlheinz Meier:
Closed-loop experiments on the BrainScaleS-2 architecture. NICE 2020: 17:1-17:3 - [c44]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: 189-200 - [c43]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: 201-212 - [i31]Andreas Grübl, Sebastian Billaudelle, Benjamin Cramer, Vitali Karasenko, Johannes Schemmel:
Verification and Design Methods for the BrainScaleS Neuromorphic Hardware System. CoRR abs/2003.11455 (2020) - [i30]Johannes Schemmel, Sebastian Billaudelle, Philipp Dauer, Johannes Weis:
Accelerated Analog Neuromorphic Computing. CoRR abs/2003.11996 (2020) - [i29]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 abs/2003.13749 (2020) - [i28]Eric Müller, Christian Mauch, Philipp Spilger, Oliver Julien Breitwieser, Johann Klähn, David Stöckel, Timo Wunderlich, Johannes Schemmel:
Extending BrainScaleS OS for BrainScaleS-2. CoRR abs/2003.13750 (2020) - [i27]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 abs/2006.07239 (2020) - [i26]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 abs/2006.13138 (2020) - [i25]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 abs/2006.13177 (2020) - [i24]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 abs/2008.01039 (2020)
2010 – 2019
- 2019
- [j10]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: 200-213 (2019) - [c42]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: 119-122 - [i23]Benjamin Cramer, David Stöckel, Markus Kreft, Johannes Schemmel, Karlheinz Meier, Viola Priesemann:
Control of criticality and computation in spiking neuromorphic networks with plasticity. CoRR abs/1909.08418 (2019) - [i22]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 abs/1909.11145 (2019) - [i21]Benjamin Cramer, Yannik Stradmann, Johannes Schemmel, Friedemann Zenke:
The Heidelberg spiking datasets for the systematic evaluation of spiking neural networks. CoRR abs/1910.07407 (2019) - [i20]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) - [i19]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 abs/1912.12047 (2019) - [i18]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) - 2018
- [j9]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): 1027-1037 (2018) - [j8]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. 65-I(12): 4299-4312 (2018) - [i17]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 abs/1801.04734 (2018) - [i16]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 abs/1804.01840 (2018) - [i15]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 abs/1804.01906 (2018) - [i14]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 abs/1805.08932 (2018) - [i13]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 abs/1807.02389 (2018) - [i12]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 abs/1809.08045 (2018) - [i11]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 abs/1811.03618 (2018) - 2017
- [j7]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): 128-142 (2017) - [c41]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: 1-4 - [c40]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: 2209-2216 - [c39]Johannes Schemmel, Laura Kriener, Paul Müller, Karlheinz Meier:
An accelerated analog neuromorphic hardware system emulating NMDA- and calcium-based non-linear dendrites. IJCNN 2017: 2217-2226 - [c38]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: 2227-2234 - [c37]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: 1-4 - [i10]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 abs/1703.01909 (2017) - [i9]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 abs/1703.04145 (2017) - [i8]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 abs/1703.06043 (2017) - [i7]Johannes Schemmel, Laura Kriener, Paul Müller, Karlheinz Meier:
An Accelerated Analog Neuromorphic Hardware System Emulating NMDA- and Calcium-Based Non-Linear Dendrites. CoRR abs/1703.07286 (2017) - [i6]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 abs/1709.08166 (2017) - 2016
- [c36]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: 71-74 - [i5]Mihai A. Petrovici, Ilja Bytschok, Johannes Bill, Johannes Schemmel, Karlheinz Meier:
The high-conductance state enables neural sampling in networks of LIF neurons. CoRR abs/1601.00909 (2016) - [i4]Simon Friedmann, Johannes Schemmel, Andreas Grübl, Andreas Hartel, Matthias Hock, Karlheinz Meier:
Demonstrating Hybrid Learning in a Flexible Neuromorphic Hardware System. CoRR abs/1604.05080 (2016) - [i3]Mihai A. Petrovici, Johannes Bill, Ilja Bytschok, Johannes Schemmel, Karlheinz Meier:
Stochastic inference with spiking neurons in the high-conductance state. CoRR abs/1610.07161 (2016) - 2015
- [j6]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: 13 (2015) - 2014
- [r1]Johannes Schemmel:
Neuromorphic Hardware, Large Scale. Encyclopedia of Computational Neuroscience 2014 - [i2]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 abs/1404.7514 (2014) - 2013
- [c35]Matthias Hock, Andreas Hartel, Johannes Schemmel, Karlheinz Meier:
An analog dynamic memory array for neuromorphic hardware. ECCTD 2013: 1-4 - [c34]Thomas Pfeil, Anne-Christine Scherzer, Johannes Schemmel, Karlheinz Meier:
Neuromorphic learning towards nano second precision. IJCNN 2013: 1-5 - [c33]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: 1-8 - [i1]Mihai A. Petrovici, Johannes Bill, Ilja Bytschok, Johannes Schemmel, Karlheinz Meier:
Stochastic inference with deterministic spiking neurons. CoRR abs/1311.3211 (2013) - 2012
- [c32]Sebastian Millner, Andreas Hartel, Johannes Schemmel, Karlheinz Meier:
Towards biologically realistic multi-compartment neuron model emulation in analog VLSI. ESANN 2012 - [c31]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: 702 - 2011
- [j5]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): 263-296 (2011) - 2010
- [j4]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: 129 (2010) - [c30]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: 1947-1950 - [c29]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: 2783 - [c28]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: 2784-2787 - [c27]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: 1642-1650
2000 – 2009
- 2009
- [j3]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: 17 (2009) - [c26]Bernhard Kaplan, Daniel Brüderle, Johannes Schemmel, Karlheinz Meier:
High-conductance states on a neuromorphic hardware system. IJCNN 2009: 1524-1530 - [c25]Stefan Philipp, Johannes Schemmel, Karlheinz Meier:
A QoS network architecture to interconnect large-scale VLSI neural networks. IJCNN 2009: 2525-2532 - 2008
- [c24]Johannes Schemmel, Johannes Fieres, Karlheinz Meier:
Wafer-scale integration of analog neural networks. IJCNN 2008: 431-438 - [c23]Johannes Fieres, Johannes Schemmel, Karlheinz Meier:
Realizing biological spiking network models in a configurable wafer-scale hardware system. IJCNN 2008: 969-976 - 2007
- [j2]Eilif Mueller, Lars Buesing, Johannes Schemmel, Karlheinz Meier:
Spike-Frequency Adapting Neural Ensembles: Beyond Mean Adaptation and Renewal Theories. Neural Comput. 19(11): 2958-3010 (2007) - [c22]Johannes Schemmel, Daniel Brüderle, Karlheinz Meier, Boris Ostendorf:
Modeling Synaptic Plasticity within Networks of Highly Accelerated I&F Neurons. ISCAS 2007: 3367-3370 - [c21]Stefan Philipp, Andreas Grübl, Karlheinz Meier, Johannes Schemmel:
Interconnecting VLSI Spiking Neural Networks Using Isochronous Connections. IWANN 2007: 471-478 - [c20]Daniel Brüderle, Andreas Grübl, Karlheinz Meier, Eilif Mueller, Johannes Schemmel:
A Software Framework for Tuning the Dynamics of Neuromorphic Silicon Towards Biology. IWANN 2007: 479-486 - 2006
- [c19]Martin Trefzer, Jörg Langeheine, Karlheinz Meier, Johannes Schemmel:
A Modular Framework for the Evolution of Circuits on Configurable Transistor Array Architectures. AHS 2006: 32-42 - [c18]Johannes Fieres, Karlheinz Meier, Johannes Schemmel:
A Convolutional Neural Network Tolerant of Synaptic Faults for Low-Power Analog Hardware. ANNPR 2006: 122-132 - [c17]Johannes Schemmel, Andreas Grübl, Karlheinz Meier, Eilif Mueller:
Implementing Synaptic Plasticity in a VLSI Spiking Neural Network Model. IJCNN 2006: 1-6 - [c16]Johannes Fieres, Johannes Schemmel, Karlheinz Meier:
Training convolutional networks of threshold neurons suited for low-power hardware implementation. IJCNN 2006: 21-28 - 2005
- [c15]Martin Trefzer, Jörg Langeheine, Karlheinz Meier, Johannes Schemmel:
Operational Amplifiers: An Example for Multi-objective Optimization on an Analog Evolvable Hardware Platform. ICES 2005: 86-97 - 2004
- [c14]Jörg Langeheine, Karlheinz Meier, Johannes Schemmel, Martin Trefzer:
Intrinsic Evolution of Digital-to-Analog Converters Using a CMOS FPTA Chip. Evolvable Hardware 2004: 18-25 - [c13]Martin Trefzer, Jörg Langeheine, Johannes Schemmel, Karlheinz Meier:
New Genetic Operators to Facilitate Understanding of Evolved Transistor Circuits. Evolvable Hardware 2004: 217-224 - [c12]Jörg Langeheine, Martin Trefzer, Daniel Brüderle, Karlheinz Meier, Johannes Schemmel:
On the Evolution of Analog Electronic Circuits Using Building Blocks on a CMOS FPTA. GECCO (1) 2004: 1316-1327 - [c11]Felix Schürmann, Karlheinz Meier, Johannes Schemmel:
Edge of Chaos Computation in Mixed-Mode VLSI - A Hard Liquid. NIPS 2004: 1201-1208 - 2003
- [c10]Tillmann Schmitz, Steffen G. Hohmann, Karlheinz Meier, Johannes Schemmel, Felix Schürmann:
Speeding up Hardware Evolution: A Coprocessor for Evolutionary Algorithms. ICES 2003: 274-285 - 2002
- [c9]Jörg Langeheine, Karlheinz Meier, Johannes Schemmel:
Intrinsic Evolution of Quasi DC Solutions for Transistor Level Analog Electronic Circuits Using a CMOS FPTA Chip. Evolvable Hardware 2002: 75-84 - [c8]Felix Schürmann, Steffen G. Hohmann, Johannes Schemmel, Karlheinz Meier:
Towards an Artificial Neural Network Framework. Evolvable Hardware 2002: 266-273 - [c7]Steffen G. Hohmann, Johannes Schemmel, Felix Schürmann, Karlheinz Meier:
Exploring The Parameter Space Of A Genetic Algorithm For Training An Analog Neural Network. GECCO 2002: 375-382 - 2001
- [j1]Markus Loose, Karlheinz Meier, Johannes Schemmel:
A self-calibrating single-chip CMOS camera with logarithmic response. IEEE J. Solid State Circuits 36(4): 586-596 (2001) - [c6]Jörg Langeheine, Joachim Becker, Simon Fölling, Karlheinz Meier, Johannes Schemmel:
A Cmos Fpta Chip For Intrinsic Hardware Evolution Of Analog Electronic Circuits. Evolvable Hardware 2001: 172-175 - [c5]Johannes Schemmel, Karlheinz Meier, Felix Schürmann:
A VLSI Implementation of an Analog Neural Network Suited for Genetic Algorithms. ICES 2001: 50-61 - [c4]Jörg Langeheine, Joachim Becker, Simon Fölling, Karlheinz Meier, Johannes Schemmel:
Initial Studies of a New VLSI Field Programmable Transistor Array. ICES 2001: 62-73 - [c3]Thorsten Maucher, Karlheinz Meier, Johannes Schemmel:
An interactive tactile graphics display. ISSPA 2001: 190-193 - 2000
- [c2]Jörg Langeheine, Simon Fölling, Karlheinz Meier, Johannes Schemmel:
Towards a Silicon Primordial Soup: A Fast Approach to Hardware Evolution with a VLSI Transistor Array. ICES 2000: 123-132
1990 – 1999
- 1999
- [b1]Johannes Schemmel:
An integrated analog network for image processing. University of Heidelberg, Germany, 1999, pp. 1-150 - 1996
- [c1]Markus Loose, Karlheinz Meier, Johannes Schemmel:
Entwicklung einer Kamera mit adaptiven Photorezeptoren in analoger CMOS-Technologie. DAGM-Symposium 1996: 301-312
Coauthor Index
Oliver Breitwieser
aka: Oliver Julien Breitwieser
aka: Oliver Julien Breitwieser
Ákos F. Kungl
aka: Ákos Ferenc Kungl
aka: Ákos Ferenc Kungl
[i49] [j14] [j13] [c48] [c47] [c46] [c45] [j10] [i23] [i20] [i19] [i18] [j9] [j8] [i17] [i16] [i15] [i13] [i12] [i11] [j7] [c41] [c40] [c39] [c38] [c37] [i10] [i9] [i8] [i7] [i6] [c36] [i5] [i4] [i3] [j6] [i2] [c35] [c34] [i1] [c32] [c31] [j5] [j4] [c30] [c29] [c28] [c27] [j3] [c26] [c25] [c24] [c23] [j2] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [j1] [c6] [c5] [c4] [c3] [c2] [c1]
Dan Husmann de Oliveira
aka: Dan Husmann
aka: Dan Husmann
Timo Wunderlich
aka: Timo C. Wunderlich
aka: Timo C. Wunderlich
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