Andreas Grübl
Andreas Grübl
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A wafer-scale neuromorphic hardware system for large-scale neural modeling
J Schemmel, D Brüderle, A Grübl, M Hock, K Meier, S Millner
2010 ieee international symposium on circuits and systems (iscas), 1947-1950, 2010
Implementing synaptic plasticity in a VLSI spiking neural network model
J Schemmel, A Grubl, K Meier, E Mueller
The 2006 ieee international joint conference on neural network proceedings, 1-6, 2006
Six networks on a universal neuromorphic computing substrate
T Pfeil, A Grübl, S Jeltsch, E Müller, P Müller, MA Petrovici, M Schmuker, ...
Frontiers in neuroscience 7, 39056, 2013
Neuromorphic hardware in the loop: Training a deep spiking network on the brainscales wafer-scale system
S Schmitt, J Klähn, G Bellec, A Grübl, M Guettler, A Hartel, S Hartmann, ...
2017 international joint conference on neural networks (IJCNN), 2227-2234, 2017
A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems
D Brüderle, MA Petrovici, B Vogginger, M Ehrlich, T Pfeil, S Millner, ...
Biological cybernetics 104, 263-296, 2011
Demonstrating hybrid learning in a flexible neuromorphic hardware system
S Friedmann, J Schemmel, A Grübl, A Hartel, M Hock, K Meier
IEEE transactions on biomedical circuits and systems 11 (1), 128-142, 2016
Demonstrating advantages of neuromorphic computation: a pilot study
T Wunderlich, AF Kungl, E Müller, A Hartel, Y Stradmann, SA Aamir, ...
Frontiers in neuroscience 13, 260, 2019
An accelerated LIF neuronal network array for a large-scale mixed-signal neuromorphic architecture
SA Aamir, Y Stradmann, P Müller, C Pehle, A Hartel, A Grübl, J Schemmel, ...
IEEE Transactions on Circuits and Systems I: Regular Papers 65 (12), 4299-4312, 2018
A VLSI implementation of the adaptive exponential integrate-and-fire neuron model
S Millner, A Grübl, K Meier, J Schemmel, MO Schwartz
Advances in Neural Information Processing Systems 23, 2010
Surrogate gradients for analog neuromorphic computing
B Cramer, S Billaudelle, S Kanya, A Leibfried, A Grübl, V Karasenko, ...
Proceedings of the National Academy of Sciences 119 (4), e2109194119, 2022
Live demonstration: A scaled-down version of the brainscales wafer-scale neuromorphic system
J Schemmel, A Grübl, S Hartmann, A Kononov, C Mayr, K Meier, S Millner, ...
2012 IEEE international symposium on circuits and systems (ISCAS), 702-702, 2012
A mixed-signal structured AdEx neuron for accelerated neuromorphic cores
SA Aamir, P Müller, G Kiene, L Kriener, Y Stradmann, A Grübl, ...
IEEE transactions on biomedical circuits and systems 12 (5), 1027-1037, 2018
Versatile emulation of spiking neural networks on an accelerated neuromorphic substrate
S Billaudelle, Y Stradmann, K Schreiber, B Cramer, A Baumbach, D Dold, ...
2020 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2020
Proceedings of 2010 IEEE International Symposium on Circuits and Systems
J Schemmel, D Briiderle, A Griibl, M Hock, K Meier, S Millner
Proceedings of 2010 IEEE International Symposium on Circuits and Systems …, 2010
Verification and design methods for the brainscales neuromorphic hardware system
A Grübl, S Billaudelle, B Cramer, V Karasenko, J Schemmel
Journal of Signal Processing Systems 92, 1277-1292, 2020
A platform for parallel operation of VLSI neural networks
J Fieres, A Grübl, S Philipp, K Meier, J Schemmel, F Schürmann
Proc. of the 2004 Brain Inspired Cognitive Systems Conference (BICS2004), 2004
Accelerated physical emulation of bayesian inference in spiking neural networks
AF Kungl, S Schmitt, J Klähn, P Müller, A Baumbach, D Dold, A Kugele, ...
Frontiers in neuroscience 13, 1201, 2019
Wafer-scale VLSI implementations of pulse coupled neural networks
M Ehrlich, C Mayr, H Eisenreich, S Henker, A Srowig, A Grübl, ...
Proceedings of the International Conference on Sensors, Circuits and …, 2007
VLSI implementation of a spiking neural network
A Grübl
Effect of heterogeneity on decorrelation mechanisms in spiking neural networks: a neuromorphic-hardware study
T Pfeil, J Jordan, T Tetzlaff, A Grübl, J Schemmel, M Diesmann, K Meier
Physical Review X 6 (2), 021023, 2016
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