Andreas Grübl

发表

Verification and Design Methods for the BrainScaleS Neuromorphic Hardware System

J. Schemmel, S. Billaudelle, B. Cramer, 2020, Journal of Signal Processing Systems.

Demonstrating Hybrid Learning in a Flexible Neuromorphic Hardware System

Johannes Schemmel, Karlheinz Meier, Andreas Hartel, 2016, IEEE Transactions on Biomedical Circuits and Systems.

Six Networks on a Universal Neuromorphic Computing Substrate

Johannes Schemmel, Karlheinz Meier, Michael Schmuker, 2012, Front. Neurosci..

Effect of heterogeneity on decorrelation mechanisms in spiking neural networks

Andreas Grübl, Thomas Pfeil, Johannes Schemmel, 2016 .

A wafer-scale neuromorphic hardware system for large-scale neural modeling

Johannes Schemmel, Karlheinz Meier, Daniel Brüderle, 2010, Proceedings of 2010 IEEE International Symposium on Circuits and Systems.

A Mixed-Signal Structured AdEx Neuron for Accelerated Neuromorphic Cores

Johannes Schemmel, Karlheinz Meier, Syed Ahmed Aamir, 2018, IEEE Transactions on Biomedical Circuits and Systems.

A Platform for Parallel Operation of VLSI Neural Networks

A. Grübl, K. Meier, J. Schemmel, 2004 .

Demonstrating Advantages of Neuromorphic Computation: A Pilot Study

Johannes Schemmel, Karlheinz Meier, Syed Ahmed Aamir, 2018, Front. Neurosci..

A VLSI Implementation of the Adaptive Exponential Integrate-and-Fire Neuron Model

Johannes Schemmel, Karlheinz Meier, Andreas Grübl, 2010, NIPS.

The Operating System of the Neuromorphic BrainScaleS-1 System

Dan Husmann de Oliveira, J. Schemmel, C. Mayr, 2020, Neurocomputing.

Live demonstration: A scaled-down version of the BrainScaleS wafer-scale neuromorphic system

Johannes Schemmel, Karlheinz Meier, René Schüffny, 2012, 2012 IEEE International Symposium on Circuits and Systems.

An Accelerated LIF Neuronal Network Array for a Large-Scale Mixed-Signal Neuromorphic Architecture

Johannes Schemmel, Karlheinz Meier, Syed Ahmed Aamir, 2018, IEEE Transactions on Circuits and Systems I: Regular Papers.

Versatile Emulation of Spiking Neural Networks on an Accelerated Neuromorphic Substrate

Timo C. Wunderlich, W. Senn, J. Schemmel, 2019, 2020 IEEE International Symposium on Circuits and Systems (ISCAS).

Implementing Synaptic Plasticity in a VLSI Spiking Neural Network Model

Johannes Schemmel, Karlheinz Meier, Eilif Müller, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Verification and Design Methods for the BrainScaleS Neuromorphic Hardware System pdf

Andreas Grübl, Sebastian Billaudelle, Johannes Schemmel, 2020, Journal of Signal Processing Systems.

Neuromorphic hardware in the loop: Training a deep spiking network on the BrainScaleS wafer-scale system

Robert A. Legenstein, Wolfgang Maass, Andreas Hartel, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Renewable energy in Austria

Andreas Grübl, Gerhard Dell, Christiane Egger, 1996 .

Inference with Artificial Neural Networks on the Analog BrainScaleS-2 Hardware

Yannik Stradmann, Andreas Grübl, Korbinian Schreiber, 2020 .

Inference with Artificial Neural Networks on Analog Neuromorphic Hardware

J. Schemmel, Johannes Weis, S. Billaudelle, 2020, IoT Streams/ITEM@PKDD/ECML.

Accelerated Physical Emulation of Bayesian Inference in Spiking Neural Networks

Paul Müller, Andreas Hartel, Eric Müller, 2018, Front. Neurosci..

A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems

Johannes Schemmel, Karlheinz Meier, Anders Lansner, 2010, Biological Cybernetics.

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

J. Schemmel, Eric Müller, J. Montes, 2023, ArXiv.

Interconnecting VLSI Spiking Neural Networks Using Isochronous Connections

Stefan Philipp, Johannes Schemmel, Karlheinz Meier, 2007, IWANN.

Versatile Emulation of Spiking Neural Networks on an Accelerated Neuromorphic Substrate

Andreas Hartel, Walter Senn, Gerd Kiene, 2019, International Symposium on Circuits and Systems.

Demonstrating BrainScaleS-2 Inter-Chip Pulse-Communication using EXTOLL

J. Schemmel, Eric Müller, V. Karasenko, 2022, NICE.

Generative models on accelerated neuromorphic hardware

Dan Husmann de Oliveira, J. Schemmel, K. Meier, 2018, ArXiv.

Pattern representation and recognition with accelerated analog neuromorphic systems

Robert A. Legenstein, Wolfgang Maass, René Schüffny, 2017, 2017 IEEE International Symposium on Circuits and Systems (ISCAS).

Inference with Artificial Neural Networks on Analog Neuromorphic Hardware pdf

Yannik Stradmann, Andreas Grübl, Korbinian Schreiber, 2020, IoT Streams/ITEM@PKDD/ECML.