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Spiking Neural Network Equalization on Neuromorphic Hardware for IM/DD Optical Communication

Elias Arnold, Georg Böcherer, Eric Müller, Philipp Spilger, Johannes Schemmel, Stefano Calabrò†, Maxim Kuschnerov

arXiv 2022-06-01
Spiking Neural Network Equalization for IM/DD Optical Communication

Elias Arnold1, Georg Böcherer, Eric M ̈uller, Philipp Spilger, Johannes Schemmel , Stefano Calabrò, Maxim Kuschnerov

arXiv version of a conference contribution 2022-06-01
Demonstrating BrainScaleS-2 Inter-Chip Pulse-Communication using EXTOLL

Tobias Thommes, Sven Bordukat, Andreas Grübl, Vitali Karasenko, Eric Müller, Johannes Schemmel

Neuro-Inspired Computational Elements Conference 2022-03-28
Cortical oscillations support sampling-based computations in spiking neural networks

Agnes Korcsak-Gorzo, Michael G. Müller, Andreas Baumbach, Luziwei Leng, Oliver J. Breitwieser, Sacha J. van Albada, Walter Senn, Karlheinz Meier, Robert Legenstein, Mihai A. Petrovici

PLOS Computational Biology, Vol. 18, No. 3 2022-03-24
Spiking neuromorphic chip learns entangled quantum states

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

SciPost Physics, Vol. 12, No. 1 2022-01-26
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

Proceedings of the National Academy of Sciences, Vol. 119, No. 4 2022-01-18
Accelerated Analog Neuromorphic Computing

Johannes Schemmel, Sebastian Billaudelle, Philipp Dauer, Johannes Weis

Analog Circuits for Machine Learning, Current/Voltage/Temperature Sensors, and High-speed Communication 2021-12-13
Variational learning of quantum ground states on spiking neuromorphic hardware

R. Klassert, A. Baumbach, M.A. Petrovici, and M. Gärttner

arXiv 2021-11-25
Fast and energy-efficient neuromorphic deep learning with first-spike times

J. Göltz, L. Kriener, A. Baumbach, S. Billaudelle, O. Breitwieser, B. Cramer, D. Dold, A. F. Kungl, W. Senn, J. Schemmel, K. Meier, M. A. Petrovici

Nature Machine Intelligence, Vol. 3, No. 9 2021-09-17
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

arXiv 2021-08-27
EMULATING DENDRITIC COMPUTING PARADIGMS ON ANALOG NEUROMORPHIC HARDWARE

Jakob Kaiser, Sebastian Billaudelle, Eric Müller, Christian Tetzlaff, Johannes Schemmel, Sebastian Schmitt

Neuroscience 2021-08-21
Reservoirs learn to learn

Anand Subramoney, Franz Scherr, Wolfgang Maass

In: Reservoir Computing: Theory, Physical Implementations, and Applications. K. Nakajima and I. Fischer, editors 2021-08-01
The BrainScaleS Accelerated Analogue Neuromorphic Architecture

Johannes Schemmel

ERCIM News: Brain-inspired Computing 2021-04-01
Fast and Energy-efficient Deep Neuromorphic Learning

Julian Göltz, Laura Kriener, Virginie Sabado and Mihai A. Petrovici

ERCIM News: Brain-inspired Computing 2021-04-01
BrainScaleS: Greater Versatility for Neuromorphic Emulation

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

ERCIM News: Brain-inspired Computing 2021-04-01
Building Brains

Steve Furber

ERCIM News: Brain-inspired Computing 2021-04-01
Mixed-Signal Neuromorphic Device HICANN-X

Johannes Schemmel

EUROPRACTICE Activity Report 2020-2021 2021-03-01
Target spike patterns enable efficient and biologically plausible learning for complex temporal tasks

Paolo Muratore, Cristiano Capone, Pier Stanislao Paolucci

PLOS ONE, Vol. 16, No. 2 2021-02-16
Optimized spiking neurons can classify images with high accuracy through temporal coding with two spikes

Christoph Stöckl, Wolfgang Maass

arXiv.org & In press at Nature Machine Intelligence 2021-01-26
hxtorch: PyTorch for BrainScaleS-2

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

Communications in Computer and Information Science 2021-01-10
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

Communications in Computer and Information Science 2021-01-10
The Heidelberg Spiking Data Sets for the Systematic Evaluation of Spiking Neural Networks

Benjamin Cramer, Yannik Stradmann, Johannes Schemmel, Friedemann Zenke

IEEE Transactions on Neural Networks and Learning Systems 2020-12-30
Bachelor Thesis: PyNN for BrainScaleS-2

Milena Czierlinski

2020-10-30
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, Vol. 133 2020-10-12
Versatile Emulation of Spiking Neural Networks on an Accelerated Neuromorphic Substrate

S. Billaudelle, Y. Stradmann, K. Schreiber, B. Cramer, A. Baumbach, D. Dold, J. Goltz, A. F. Kungl, T. C. Wunderlich, A. Hartel, E. Muller, O. Breitwieser, C. Mauch, M. Kleider, A. Grubl, D. Stockel, C. Pehle, A. Heimbrecht, P. Spilger, G. Kiene, V. Karasenko, W. Senn, M. A. Petrovici, J. Schemmel, K. Meier

2020 IEEE International Symposium on Circuits and Systems (ISCAS) 2020-10-01
EventProp: Backpropagation for Exact Gradients in Spiking Neural Networks

Timo C. Wunderlich, Christian Pehle

arXiv 2020-09-21
Verification and Design Methods for the BrainScaleS Neuromorphic Hardware System

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

Journal of Signal Processing Systems, Vol. 92, No. 11 2020-07-09
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

arXiv 2020-07-01
One-shot learning with spiking neural networks

Franz Scherr, Christoph Stöckl, Wolfgang Maass

bioRxiv 2020-06-19
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

arXiv 2020-06-12
Control of criticality and computation in spiking neuromorphic networks with plasticity

Benjamin Cramer, David Stöckel, Markus Kreft, Michael Wibral, Johannes Schemmel, Karlheinz Meier, Viola Priesemann

Nature Communications, Vol. 11, No. 1 2020-06-05
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, Johan…

arXiv 2020-03-30
Extending BrainScaleS OS for BrainScaleS-2

Eric Müller, Christian Mauch, Philipp Spilger, Oliver Julien Breitwieser, Johann Klähn, David Stöckel, Timo Wunderlich, Johannes Schemmel

arXiv 2020-03-30
A biologically motivated rule for supervised learning with spiking neurons

Arjun Rao, Anand Subramoney, Robert Legenstein and Wolfgang Maass

(preprint) 2020-03-23
Deep reinforcement learning for time-continuous substrates

Akos F. Kungl, Dominik Dold, Oskar Riedler, Mihai A. Petrovici, Walter Senn

2020-03-17
Natural gradient learning for spiking neurons

Elena Kreutzer, Mihai A. Petrovici, Walter Senn

NICE '20: Proceedings of the Neuro-inspired Computational Elements Workshop 2020-03-17
Mapping Deep Neural Networks on SpiNNaker2

Florian Kelber, Binyi Wu, Bernhard Vogginger, Johannes Partzsch, Chen Liu, Marco Stolba, Christian Mayr

Proceedings of the Neuro-inspired Computational Elements Workshop 2020-03-17
Closed-loop experiments on the BrainScaleS-2 architecture

K. Schreiber, T. C. Wunderlich, C. Pehle, M. A. Petrovici, J. Schemmel, K. Meier

NICE '20: Proceedings of the Neuro-inspired Computational Elements Workshop 2020-03-17
Brian2GeNN: accelerating spiking neural network simulations with graphics hardware

Marcel Stimberg, Dan F. M. Goodman, Thomas Nowotny

Scientific Reports, Vol. 10, No. 1 2020-01-15
Recognizing Images with at most one Spike per Neuron

Christoph Stöckl, Wolfgang Maass

arXiv 2019-12-30
Real-time cortical simulation on neuromorphic hardware

Oliver Rhodes, Luca Peres, Andrew G. D. Rowley, Andrew Gait, Luis A. Plana, Christian Brenninkmeijer, Steve B. Furber

Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, Vol. 378, No. 2164 2019-12-23
Vorbild Natur. Wie Maschinen das Lernen lernen

Johannes Schemmel

Forschungsmagazin Ruperto Carola 2019-12-16
Deterministic networks for probabilistic computing

Jakob Jordan, Mihai A. Petrovici, Oliver Breitwieser, Johannes Schemmel, Karlheinz Meier, Markus Diesmann, Tom Tetzlaff

Scientific Reports, Vol. 9, No. 1 2019-12-04
Odor Stimuli: Not Just Chemical Identity

Mario Pannunzi, Thomas Nowotny

Frontiers in Physiology, Vol. 10 2019-11-27
Accelerated Physical Emulation of Bayesian Inference in Spiking Neural Networks

Akos F. Kungl, Sebastian Schmitt, Johann Klähn, Paul Müller, Andreas Baumbach, Dominik Dold, Alexander Kugele, Eric Müller, Christoph Koke, Mitja Kleider, Christian Mauch, Oliver Breitwieser, Luziwei Leng, Nico Gürtler, Maurice Güttler, Dan Husmann, Kai Husmann, Andreas Hartel, Vitali Karasenko, Andreas Grübl, Johannes Schemmel, Karlheinz Meier, M…

Frontiers in Neuroscience, Vol. 13 2019-11-14
A neural cognitive architecture

Christian R. Huyck

Cognitive Systems Research, Vol. 59 2019-09-26
An energy-based model of folded autoencoders for unsupervised learning in cortical hierarchies

Dominik Dold, João Sacramento, Akos F. Kungl, Walter Senn, Mihai A. Petrovici

Bernstein Conference 2019 2019-09-18
Brain-Inspired Hardware for Artificial Intelligence: Accelerated Learning in a Physical-Model Spiking Neural Network

Timo Wunderlich, Akos F. Kungl, Eric Müller, Johannes Schemmel, Mihai Petrovici

Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation 2019-09-09
Stochasticity from function — Why the Bayesian brain may need no noise

Dominik Dold, Ilja Bytschok, Akos F. Kungl, Andreas Baumbach, Oliver Breitwieser, Walter Senn, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici

Neural Networks, Vol. 119 2019-08-19
STDP Forms Associations between Memory Traces in Networks of Spiking Neurons

Christoph Pokorny, Matias J Ison, Arjun Rao, Robert Legenstein, Christos Papadimitriou, Wolfgang Maass

Cerebral Cortex 2019-08-12
Smoothed Analysis of Discrete Tensor Decomposition and Assemblies of Neurons

N. Ananri, C. Daskalakis, W. Maass, C. H. Papadimitriou, A. Saberi, and S. Vempala

Neural Information Processing Systems Conference. 2019-06-03
Neuromorphic Hardware Learns to Learn

Thomas Bohnstingl, Franz Scherr, Christian Pehle, Karlheinz Meier, Wolfgang Maass

Frontiers in Neuroscience, Vol. 13 2019-05-21
Profiling a Many-core Neuromorphic Platform

Indar Sugiarto, Luis A. Plana, Steve Temple, Basabdatta S. Bhattacharya, Steve B. Furber, Patrick Camilleri

2017 IEEE 11th International Conference on Application of Information and Communication Technologies (AICT) 2019-04-11
An unsupervised neuromorphic clustering algorithm

Alan Diamond, Michael Schmuker, Thomas Nowotny

Biological Cybernetics 2019-04-03
A model for structured information representation in neural networks

Michael G. Müller, Christos H. Papadimitriou, Wolfgang Maass, Robert Legenstein

2019-03-26
SpiNNTools: The Execution Engine for the SpiNNaker Platform

Andrew G. D. Rowley, Christian Brenninkmeijer, Simon Davidson, Donal Fellows, Andrew Gait, David R. Lester, Luis A. Plana, Oliver Rhodes, Alan B. Stokes, Steve B. Furber

Frontiers in Neuroscience, Vol. 13 2019-03-26
Demonstrating Advantages of Neuromorphic Computation: A Pilot Study

Timo Wunderlich, Akos 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

Frontiers in Neuroscience, Vol. 13 2019-03-26
Efficient Reward-Based Structural Plasticity on a SpiNNaker 2 Prototype

Yexin Yan, David Kappel, Felix Neumaerker, Johannes Partzsch, Bernhard Vogginger, Sebastian Hoeppner, Steve Furber, Wolfgang Maass, Robert Legenstein, Christian Mayr

IEEE Transactions on Biomedical Circuits and Systems 2019-03-20
Error-driven learning supports Bayes-optimal multisensory integration via conductance-based dendrites.

Jakob Jordan, João Sacramento, Mihai A. Petrovici, Walter Senn

2019-02-28
Biologically inspired alternatives to backpropagation through time for learning in recurrent neural nets

Guillaume Bellec, Franz Scherr, Elias Hajek , Darjan Salaj , Robert Legenstein , and Wolfgang Maass

2019-02-21
Large-Scale Neuromorphic Spiking Array Processors: A Quest to Mimic the Brain

Chetan Singh Thakur, Jamal Lottier 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

Frontiers in Neuroscience, Vol. 12 2018-12-03
Memory-Efficient Deep Learning on a SpiNNaker 2 Prototype

Chen Liu, Guillaume Bellec, Bernhard Vogginger, David Kappel, Johannes Partzsch, Felix Neumärker, Sebastian Höppner, Wolfgang Maass, Steve B. Furber, Robert Legenstein, Christian G. Mayr

Frontiers in Neuroscience, Vol. 12 2018-11-16
CABots and Other Neural Agents

Christian Huyck, Ian Mitchell

Frontiers in Neurorobotics, Vol. 12 2018-11-15
Code generation in computational neuroscience: a review of tools and techniques

Inga Blundell, Romain Brette, Thomas A. Cleland, Thomas G. Close, Daniel Coca, Andrew P. Davison, Sandra Diaz Pier, Carlos Fernandez Musoles, Padraig Gleeson, Dan F. Goodman, Michael Hines, Michael W. Hopkins, Pramod Kumbhar, David R. Lester, Bóris Marin, Abigail Morrison, Eric Müller, Thomas Nowotny, Alexander Peyser, Dimitri Plotnikov, Paul Rich…

2018-11-05
Long short-term memeory and learning-to-learn in networks of spiking neurons

Guillaume Bellec, Darjan Salaj, Anand Subramoney, Robert Legenstein, Wolfgang Maass

2018-09-28
Approximate Fixed-Point Elementary Function Accelerator for the SpiNNaker-2 Neuromorphic Chip

Mantas Mikaitis, David R Lester, Delong Shang, Steve Furber, Gengting Liu, Jim Garside, Stefan Scholze, Sebastian Hoppner, Andreas Dixius

2018 IEEE 25th Symposium on Computer Arithmetic (ARITH) 2018-09-17
A Mixed-Signal Structured AdEx Neuron for Accelerated Neuromorphic Cores

Syed Ahmed Aamir, Paul Muller, Gerd Kiene, Laura Kriener, Yannik Stradmann, Andreas Grubl, Johannes Schemmel, Karlheinz Meier

IEEE Transactions on Biomedical Circuits and Systems, Vol. 12, No. 5 2018-07-24
Two Simple NeuroCognitive Associative Memory Models

Christian R. Huyck, Yuhue Ji

Proceedings of the 16th International Conference on Cognitive Modeling (ICCM 2018) 2018-07-24
Parallel Distribution of an Inner Hair Cell and Auditory Nerve Model for Real-Time Application

Robert James, Jim Garside, Luis A. Plana, Andrew Rowley, Steve B. Furber

IEEE Transactions on Biomedical Circuits and Systems, Vol. 12, No. 5 2018-07-16
Spiking neurons with short-term synaptic plasticity form superior generative networks

Luziwei Leng, Roman Martel, Oliver Breitwieser, Ilja Bytschok, Walter Senn, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici

Scientific Reports, Vol. 8, No. 1 2018-07-13
Structural Plasticity on the SpiNNaker Many-Core Neuromorphic System

Petruț A. Bogdan, Andrew G. D. Rowley, Oliver Rhodes, Steve B. Furber

Frontiers in Neuroscience, Vol. 12 2018-07-02
An Accelerated LIF Neuronal Network Array for a Large-Scale Mixed-Signal Neuromorphic Architecture

Syed Ahmed Aamir, Yannik Stradmann, Paul Muller, Christian Pehle, Andreas Hartel, Andreas Grubl, Johannes Schemmel, Karlheinz Meier

IEEE Transactions on Circuits and Systems I: Regular Papers 2018-06-27
Spiking neural networks for computer vision

Michael Hopkins, Garibaldi Pineda-García, Petruţ A. Bogdan, Steve B. Furber

Interface Focus, Vol. 8, No. 4 2018-06-15
Performance Comparison of the Digital Neuromorphic Hardware SpiNNaker and the Neural Network Simulation Software NEST for a Full-Scale Cortical Microcircuit Model

Sacha J. van Albada, Andrew G. Rowley, Johanna Senk, Michael Hopkins, Maximilian Schmidt, Alan B. Stokes, David R. Lester, Markus Diesmann, Steve B. Furber

Frontiers in Neuroscience, Vol. 12 2018-05-23
Network-on-chip evaluation for a novel neural architecture

Markos Kynigos, Javier Navaridas, Luis A. Plana, Steve Furber

Proceedings of the 15th ACM International Conference on Computing Frontiers - CF '18 2018-05-10
Deep Rewiring: Traiining Very Sparse Deep Networks

Guillaume Bellec, David Kappel, Wolfgang Maass, Robert Legenstein

ICLR 2018 2018-05-03
A Dynamic Connectome Supports the Emergence of Stable Computational Function of Neural Circuits through Reward-Based Learning

David Kappel, Robert Legenstein, Stefan Habenschuss, Michael Hsieh, Wolfgang Maass

eNeuro, Vol. 5, No. 2 2018-04-02