Publications Neuromorphic Computing

 

 

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The BrainScaleS-2 Neuromorphic Platform - A Report on the Integration and Operation of an Open Science Hardware Platform within EBRAINS

Eric Müller, Arne Emmel, Björn Kindler, Christian Mauch, Elias Arnold, Jakob Kaiser, Jan V. Straub, Johannes Weis, Joscha Ilmberger, Julian Göltz, Luca Blessing, Milena Czierlinski, Moritz Althaus, Philipp Spilger, Raphael Stock,Sebastian Billaudelle, Tobias Thommes, Yannik Stradmann, Christian Pehle, Mihai A. Petrovici, Sebastian Schmitt, Johanne…

zenodo 2023-09-25
Gradient-based methods for spiking physical systems

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

arXiv 2023-08-29
Autocorrelations from emergent bistability in homeostatic spiking neural networks on neuromorphic hardware

Benjamin Cramer, Markus Kreft, Sebastian Billaudelle, Vitali Karasenko, Aron Leibfried, Eric Müller, Philipp Spilger, Johannes Weis, Johannes Schemmel, Miguel A. Muñoz, Viola Priesemann, Johannes Zierenberg

Physical Review Research, Vol. 5, No. 3 2023-07-19
Bachelors’s Thesis : Multi-Single-Chip Training of Spiking Neural Networks with BrainScaleS-2

Jan Valentin Straub

- 2023-07-07
A flexible column parallel successive-approximation ADC for hybrid neuromorphic computing

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

2023 18th Conference on Ph.D Research in Microelectronics and Electronics (PRIME) 2023-06-18
Spiking Neural Network Nonlinear Demapping on Neuromorphic Hardware for IM/DD Optical Communication

Elias Arnold, Georg Böcherer, Florian Strasser, Eric Müller, Philipp Spilger, Sebastian Billaudelle, Johannes Weis, Johannes Schemmel, Stefano Calabrò, Maxim Kuschnerov

Journal of Lightwave Technology, Vol. 41, No. 11 2023-06-01
hxtorch.snn: Machine-learning-inspired Spiking Neural Network Modeling on BrainScaleS-2

Philipp Spilger, Elias Arnold, Luca Blessing, Christian Mauch, Christian Pehle, Eric Müller, Johannes Schemmel

Neuro-Inspired Computational Elements Conference 2023-04-12
Biomorphic control for high-speed robotic applications

Yannik Stradmann, Johannes Schemmel

Article in "7th HBP Student Conference on Interdisciplinary Brain Research" 2023-03-31
Master's thesis: Gradient Estimation With Sparse Observations for Analog Neuromorphic Hardware

Luca Blessing

2023-03-30
Simulation-based Inference for Model Parameterization on Analog Neuromorphic Hardware

Jakob Kaiser, Raphael Stock, Eric Müller, Johannes Schemmel, Sebastian Schmitt

arXiv 2023-03-28
From Clean Room to Machine Room: Commissioning of the First-Generation BrainScaleS Wafer-Scale Neuromorphic System

Hartmut Schmidt, José Montes, Andreas Grübl, Maurice Güttler, Dan Husmann, Joscha Ilmberger, Jakob Kaiser, Christian Mauch, Eric Müller, Lars Sterzenbach, Johannes Schemmel, Sebastian Schmitt

arXiv 2023-03-22
Event-based Backpropagation for Analog Neuromorphic Hardware

Christian Pehle, Luca Blessing, Elias Arnold, Eric Müller, Johannes Schemmel

arXiv 2023-02-13
Master thesis: Analog-to-digital conversion for mixed-signal computing: Components for a successive-approximation ADC

Philipp Dauer

2022-12-19
Master thesis: The implementation of a dual-mode DAC for an SAR ADC

Milena Czierlinski

2022-12-09
An accurate and flexible analog emulation of AdEx neuron dynamics in silicon

Sebastian Billaudelle, Johannes Weis, Philipp Dauer, Johannes Schemmel

2022 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS) 2022-10-24
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 Muller, Philipp Spilger, Johannes Weis, Johannes Schemmel

IEEE Open Journal of Circuits and Systems 2022-09-21
Spiking Neural Network Equalization for IM/DD Optical Communication

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

Optica Advanced Photonics Congress 2022 2022-07-24
Quantization Framework for Fast Spiking Neural Networks

Chen Li, Lei Ma, Steve Furber

Frontiers in Neuroscience, Vol. 16 2022-07-19
Variational learning of quantum ground states on spiking neuromorphic hardware

Robert Klassert, Andreas Baumbach, Mihai A. Petrovici, Martin Gärttner

iScience, Vol. 25, No. 8 2022-07-04
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
PhD Thesis: From transistors to learning systems:circuits and algorithms for brain-inspired computing

Sebastian Billaudelle

- 2022-06-01
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…

Neurocomputing, Vol. 501 2022-05-26
Event driven bio-inspired attentive system for the iCub humanoid robot on SpiNNaker

Giulia D’Angelo, Adam Perrett, Massimiliano Iacono, Steve Furber, Chiara Bartolozzi

Neuromorphic Computing and Engineering, Vol. 2, No. 2 2022-05-20
A Scalable Approach to Modeling on Accelerated Neuromorphic Hardware

Eric Müller, Elias Arnold, Oliver Breitwieser, Milena Czierlinski, Arne Emmel, Jakob Kaiser, Christian Mauch, Sebastian Schmitt, Philipp Spilger, Raphael Stock, Yannik Stradmann, Johannes Weis, Andreas Baumbach, Sebastian Billaudelle, Benjamin Cramer, Falk Ebert, Julian Göltz, Joscha Ilmberger, Vitali Karasenko, Mitja Kleider, Aron Leibfried, Chri…

Frontiers in Neuroscience, Vol. 16 2022-05-18
Masters thesis: Towards Multi-Compartment Experiments on BrainScaleS-2

Raphael Stock

2022-05-13
Quantum many-body states: A novel neuromorphic application

Andreas Baumbach, Robert Klassert, Stefanie Czischek, Martin Gärttner, Mihai A. Petrovici

Neuro-Inspired Computational Elements Conference 2022-05-03
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
The BrainScaleS-2 accelerated neuromorphic system with hybrid plasticity.

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

Front. Neurosci 2022-02-24
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
Operating Accelerated Neuromorphic Hardware - A Scalable and Sustainable Approach

Christian Paul Mauch

2021-12-21
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
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
EMULATING DENDRITIC COMPUTING PARADIGMS ON ANALOG NEUROMORPHIC HARDWARE

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

Neuroscience 2021-08-21
Learning by Tooling: Novel Neuromorphic Learning Strategies in Reproducible Software Environments

Oliver Julien Breitwieser

2021-08-03
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
Bachelor's thesis: Real-time Image Classification on Analog Neuromorphic Hardware

Falk Leonard Ebert

2021-06-30
Master's thesis: Biologically Inspired Learning in Recurrent Spiking Neural Networks on Neuromorphic Hardware

Elias Arnold

2021-06-21
Event-based backpropagation can compute exact gradients for spiking neural networks

Timo C. Wunderlich, Christian Pehle

Scientific Reports, Vol. 11, No. 1 2021-06-18
Software publication: yashchiki -- Container image build flow for BrainScaleS

Electronic Vision(s)

2021-05-06
Master Thesis: On-chip calibration and closed-loop experiments on analog neuromorphic hardware

Aron Leibfried

2021-04-01
The BrainScaleS Accelerated Analogue Neuromorphic Architecture

Johannes Schemmel

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
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
Master's thesis: Input-Induced Dynamical States in Homeostatically Regulated Neuromorphic Recurrent Neural Networks

Markus Kreft

2021-03-30
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
Master's thesis: From Neural Network Descriptions to Neuromorphic Hardware — A Signal-Flow Graph Compiler Approach

Philipp Spilger

2021-02-03
Bachelor Thesis: Migration and Enhancement of the Advanced Lab Course on Neuromorphic Computing

Alexander Nock

2021-02-01
Master's thesis: Robustness through Plasticity: A Homeostatic Mechanism for Spiking Sampling Networks

Timo Gierlich

2021-01-31
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
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
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
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
Master's Thesis: Inference with Convolutional Neural Networks on Analog Neuromorphic Hardware

Arne Emmel

2020-11-30
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
Master's Thesis: Inference with Artificial Neural Networks on Neuromorphic Hardware

Johannes Weis

2020-09-30
EventProp: Backpropagation for Exact Gradients in Spiking Neural Networks

Timo C. Wunderlich, Christian Pehle

arXiv 2020-09-21
Mster's thesis: Implementation of Large Scale Neural Networks on the Neuromorphic BrainScaleS-1 System

Jakob Kaiser

2020-07-13
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
PhD thesis: Robust learning algorithms for spiking and rate-based neural networks

Akos F. Kungl

2020-05-29
PhD thesis: Harnessing function from form: towards bio-inspired artificial intelligence in neuronal substrates

Dominik Dold

2020-05-11
Bachelor's thesis: Towards Structured Data Exchange in Distributed Neuromorphic Systems

Mathis Kunold

2020-04-02
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
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
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
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
Deep reinforcement learning for time-continuous substrates

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

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
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
A model for structured information representation in neural networks

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

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
Master thesis: Implementation of novel networks of spiking neurons on the Intel Loihi chip

Philipp Plank

2019-03-14
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