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Johannes Schemmel
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- affiliation: University of Heidelberg, Germany
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Books and Theses
- 1999
- [b1]Johannes Schemmel:
An integrated analog network for image processing. University of Heidelberg, Germany, 1999, pp. 1-150
Journal Articles
- 2024
- [j21]Liz Weerdmeester
, Nelson Niemeyer
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) - 2023
- [j20]Hartmut Schmidt
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
Simulation-based inference for model parameterization on analog neuromorphic hardware. Neuromorph. Comput. Eng. 3(4): 44006 (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
The operating system of the neuromorphic BrainScaleS-1 system. Neurocomputing 501: 790-810 (2022) - [j17]Yannik Stradmann
Demonstrating Analog Inference on the BrainScaleS-2 Mobile System. IEEE Open J. Circuits Syst. 3: 252-262 (2022) - [j16]Benjamin Cramer
Surrogate gradients for analog neuromorphic computing. Proc. Natl. Acad. Sci. USA 119(4): e2109194119 (2022) - [j15]Benjamin Cramer
The Heidelberg Spiking Data Sets for the Systematic Evaluation of Spiking Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 33(7): 2744-2757 (2022) - 2021
- [j14]Julian Göltz
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
Structural plasticity on an accelerated analog neuromorphic hardware system. Neural Networks 133: 11-20 (2021) - 2020
- [j12]Andreas Grübl
Verification and Design Methods for the BrainScaleS Neuromorphic Hardware System. J. Signal Process. Syst. 92(11): 1277-1292 (2020) - [j11]Andreas Grübl
Correction to: Verification and Design Methods for the BrainScaleS Neuromorphic Hardware System. J. Signal Process. Syst. 92(11): 1345 (2020) - 2019
- [j10]Dominik Dold
Stochasticity from function - Why the Bayesian brain may need no noise. Neural Networks 119: 200-213 (2019) - 2018
- [j9]Syed Ahmed Aamir
A Mixed-Signal Structured AdEx Neuron for Accelerated Neuromorphic Cores. IEEE Trans. Biomed. Circuits Syst. 12(5): 1027-1037 (2018) - [j8]Syed Ahmed Aamir
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) - 2017
- [j7]Simon Friedmann, Johannes Schemmel
Demonstrating Hybrid Learning in a Flexible Neuromorphic Hardware System. IEEE Trans. Biomed. Circuits Syst. 11(1): 128-142 (2017) - 2015
- [j6]Dimitri Probst, Mihai A. Petrovici
Probabilistic inference in discrete spaces can be implemented into networks of LIF neurons. Frontiers Comput. Neurosci. 9: 13 (2015) - 2011
- [j5]Daniel Brüderle, Mihai A. Petrovici
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
Compensating Inhomogeneities of Neuromorphic VLSI Devices Via Short-Term Synaptic Plasticity. Frontiers Comput. Neurosci. 4: 129 (2010) - 2009
- [j3]Daniel Brüderle, Eric Müller, Andrew P. Davison
Establishing a novel modeling tool: a python-based interface for a neuromorphic hardware system. Frontiers Neuroinformatics 3: 17 (2009) - 2007
- [j2]Eilif Mueller
Spike-Frequency Adapting Neural Ensembles: Beyond Mean Adaptation and Renewal Theories. Neural Comput. 19(11): 2958-3010 (2007) - 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)
Conference and Workshop Papers
- 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 - 2023
- [c54]Philipp Spilger
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 - 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 - 2021
- [c49]Bernhard Klein
Towards Addressing Noise and Static Variations of Analog Computations Using Efficient Retraining. PKDD/ECML Workshops (1) 2021: 409-420 - 2020
- [c48]Sebastian Billaudelle, Yannik Stradmann
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
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
Closed-loop experiments on the BrainScaleS-2 architecture. NICE 2020: 17:1-17:3 - [c44]Philipp Spilger, Eric Müller, Arne Emmel
hxtorch: PyTorch for BrainScaleS-2 - Perceptrons on Analog Neuromorphic Hardware. IoT Streams/ITEM@PKDD/ECML 2020: 189-200 - [c43]Johannes Weis
Inference with Artificial Neural Networks on Analog Neuromorphic Hardware. IoT Streams/ITEM@PKDD/ECML 2020: 201-212 - 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 - 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
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
Neuromorphic hardware in the loop: Training a deep spiking network on the BrainScaleS wafer-scale system. IJCNN 2017: 2227-2234 - [c37]Mihai A. Petrovici
Pattern representation and recognition with accelerated analog neuromorphic systems. ISCAS 2017: 1-4 - 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 - 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
Neuromorphic learning towards nano second precision. IJCNN 2013: 1-5 - [c33]Alexander D. Rast, Johannes Partzsch, Christian Mayr, Johannes Schemmel
A location-independent direct link neuromorphic interface. IJCNN 2013: 1-8 - 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
Live demonstration: A scaled-down version of the BrainScaleS wafer-scale neuromorphic system. ISCAS 2012: 702 - 2010
- [c30]Johannes Schemmel
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 - 2009
- [c26]Bernhard Kaplan, Daniel Brüderle, Johannes Schemmel
High-conductance states on a neuromorphic hardware system. IJCNN 2009: 1524-1530 - [c25]Stefan Philipp, Johannes Schemmel
A QoS network architecture to interconnect large-scale VLSI neural networks. IJCNN 2009: 2525-2532 - 2008
- [c24]Johannes Schemmel
Wafer-scale integration of analog neural networks. IJCNN 2008: 431-438 - [c23]Johannes Fieres, Johannes Schemmel
Realizing biological spiking network models in a configurable wafer-scale hardware system. IJCNN 2008: 969-976 - 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
Intrinsic Evolution of Digital-to-Analog Converters Using a CMOS FPTA Chip. Evolvable Hardware 2004: 18-25 - [c13]Martin Trefzer, Jörg Langeheine, Johannes Schemmel
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
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
- [c6]Jörg Langeheine, Joachim Becker, Simon Fölling
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
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
Towards a Silicon Primordial Soup: A Fast Approach to Hardware Evolution with a VLSI Transistor Array. ICES 2000: 123-132 - 1996
- [c1]Markus Loose, Karlheinz Meier, Johannes Schemmel:
Entwicklung einer Kamera mit adaptiven Photorezeptoren in analoger CMOS-Technologie. DAGM-Symposium 1996: 301-312
Reference Works
- 2014
- [r1]Johannes Schemmel:
Neuromorphic Hardware, Large Scale. Encyclopedia of Computational Neuroscience 2014
Data and Artifacts
- 2023
- [d4]Jakob Kaiser
Simulation-based Inference for Model Parameterization on Analog Neuromorphic Hardware [data]. 1.0. heiDATA, 2023 [all versions] - [d3]Jakob Kaiser
Simulation-based Inference for Model Parameterization on Analog Neuromorphic Hardware [data]. 1.1. heiDATA, 2023 [all versions] - [d2]Raphael Stock
Parametrizing Analog Multi-Compartment Neurons with Genetic Algorithms [Data]. heiDATA, 2023 - 2022
- [d1]Benjamin Cramer, Yannik Stradmann, Johannes Schemmel
Heidelberg Spiking Datasets. IEEE DataPort, 2022
Informal and Other Publications
- 2024
- [i49]Korbinian Schreiber, Timo Wunderlich, Philipp Spilger, Sebastian Billaudelle, Benjamin Cramer, Yannik Stradmann
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
- [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
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
- [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
- [i34]Yannik Stradmann, Sebastian Billaudelle, Oliver Breitwieser, Falk Leonard Ebert, Arne Emmel
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
- [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
The Operating System of the Neuromorphic BrainScaleS-1 System. CoRR abs/2003.13749 (2020) - [i28]Eric Müller, Christian Mauch
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
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
hxtorch: PyTorch for BrainScaleS-2 - Perceptrons on Analog Neuromorphic Hardware. CoRR abs/2006.13138 (2020) - [i25]Johannes Weis, Philipp Spilger, Sebastian Billaudelle, Yannik Stradmann
Inference with Artificial Neural Networks on Analog Neuromorphic Hardware. CoRR abs/2006.13177 (2020) - [i24]Stefanie Czischek
Spiking neuromorphic chip learns entangled quantum states. CoRR abs/2008.01039 (2020) - 2019
- [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
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
Structural plasticity on an accelerated analog neuromorphic hardware system. CoRR abs/1912.12047 (2019) - [i18]Sebastian Billaudelle, Yannik Stradmann
Versatile emulation of spiking neural networks on an accelerated neuromorphic substrate. CoRR abs/1912.12980 (2019) - 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
- [i10]Sebastian Schmitt
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
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
- [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) - 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
- [i1]Mihai A. Petrovici, Johannes Bill, Ilja Bytschok, Johannes Schemmel, Karlheinz Meier:
Stochastic inference with deterministic spiking neurons. CoRR abs/1311.3211 (2013)
Coauthor Index
Oliver Breitwieser
aka: Oliver Julien Breitwieser
aka: Oliver Julien Breitwieser
Ákos F. Kungl
aka: Ákos Ferenc Kungl
aka: Ákos Ferenc Kungl
[j14] [j13] [j10] [j9] [j8] [j7] [j6] [j5] [j4] [j3] [j2] [j1] [c48] [c47] [c46] [c45] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1] [i49] [i23] [i20] [i19] [i18] [i17] [i16] [i15] [i13] [i12] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [i4] [i3] [i2] [i1]
Dan Husmann de Oliveira
aka: Dan Husmann
aka: Dan Husmann
Timo Wunderlich
aka: Timo C. Wunderlich
aka: Timo C. Wunderlich
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