Oliver Breitwieser
Oliver Breitwieser
Verified email at kip.uni-heidelberg.de
TitleCited byYear
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 (4-5), 263-296, 2011
1112011
Characterization and compensation of network-level anomalies in mixed-signal neuromorphic modeling platforms
MA Petrovici, B Vogginger, P Müller, O Breitwieser, M Lundqvist, L Muller, ...
PloS one 9 (10), e108590, 2014
392014
NEST 2.12. 0
S Kunkel, A Morrison, P Weidel, JM Eppler, A Sinha, W Schenck, ...
Zenodo doi 10, 2017
192017
Pattern representation and recognition with accelerated analog neuromorphic systems
MA Petrovici, S Schmitt, J Klähn, D Stöckel, A Schroeder, G Bellec, J Bill, ...
2017 IEEE International Symposium on Circuits and Systems (ISCAS), 1-4, 2017
122017
Towards a neuromorphic implementation of spike-based expectation maximization
O Breitwieser
Masterarbeit, Universität Heidelberg.(Cited on page 52.), 2015
102015
Spiking neurons with short-term synaptic plasticity form superior generative networks
L Leng, R Martel, O Breitwieser, I Bytschok, W Senn, J Schemmel, K Meier, ...
Scientific reports 8 (1), 10651, 2018
82018
Stochasticity from function-why the Bayesian brain may need no noise
D Dold, I Bytschok, AF Kungl, A Baumbach, O Breitwieser, W Senn, ...
arXiv preprint arXiv:1809.08045, 2018
42018
Robustness from structure: Inference with hierarchical spiking networks on analog neuromorphic hardware
MA Petrovici, A Schroeder, O Breitwieser, A Grübl, J Schemmel, K Meier
2017 International Joint Conference on Neural Networks (IJCNN), 2209-2216, 2017
42017
Spiking neural networks as superior generative and discriminative models
L Leng, MA Petrovici, R Martel, I Bytschok, O Breitwieser, J Bill, ...
Cosyne Abstracts, Salt Lake City USA, 2016
42016
Stochastic neural computation without noise
J Jordan, MA Petrovici, O Breitwieser, J Schemmel, K Meier, M Diesmann, ...
arXiv preprint arXiv:1710.04931, 2017
22017
25th annual computational neuroscience meeting: CNS-2016
TO Sharpee, A Destexhe, M Kawato, V Sekulić, FK Skinner, DK Wójcik, ...
BMC Neuroscience 17 (1), 54, 2016
22016
Neural networks as sources of uncorrelated noise for functional neural systems
J Jordan, I Bytschok, T Tetzlaff, T Pfeil, O Breitwieser, J Bill, M Diesmann, ...
OCCAM 2014, 2014
22014
Deterministic networks for probabilistic computing
J Jordan, MA Petrovici, O Breitwieser, J Schemmel, K Meier, M Diesmann, ...
arXiv preprint arXiv:1710.04931, 2017
12017
Deterministic neural networks as sources of uncorrelated noise for probabilistic computations
J Jordan, T Tetzlaff, M Petrovici, O Breitwieser, I Bytschok, J Bill, ...
BMC neuroscience 16 (1), P62, 2015
2015
Bridging the gap between software simulation and emulation on neuromorphic hardware
MA Petrovici, B Vogginger, P Müller, O Breitwieser, M Lundqvist, L Muller, ...
2014
Stochastic inference with spiking neural networks
M Petrovici, L Leng, O Breitwieser, D Stöckel, I Bytschok, R Martel, J Bill, ...
arXiv preprint arXiv:1311.3211, 2013
2013
Stochastic inference
MA Petrovici, L Leng, D Stöckel, O Breitwieser, I Bytschok, J Jordan, ...
Simulated Tempering in Biologically Inspired Neural Networks
A Korcsak-Gorzo, L Leng, OJ Breitwieser, J Schemmel, K Meier, ...
Bayesian Computing with Spikes
A Baumbach, M Petrovici, L Leng, O Breitwieser, D Stöckel, I Bytschok, ...
1st Human Brain Project Student Conference, 84, 0
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Articles 1–19