Mihai A. Petrovici

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Karlheinz MeierRuprecht-Karls-Universität HeidelbergVerified email at kip.uni-heidelberg.de
Johannes SchemmelHeidelberg UniversityVerified email at kip.uni-heidelberg.de
Walter SennUniversität BernVerified email at unibe.ch
Oliver BreitwieserDr. rer. nat., Heidelberg UniversityVerified email at kip.uni-heidelberg.de
Akos F. KunglCarl Zeiss SMTVerified email at zeiss.com
Sebastian BillaudelleVerified email at kip.uni-heidelberg.de
Jakob JordanDepartment of Physiology, University of BernVerified email at unibe.ch
Julian GöltzPhD Student, Heidelberg University and University of BernVerified email at kip.uni-heidelberg.de
Dominik DoldResearch Fellow, ESA ESTECVerified email at esa.int
Andreas GrüblHeidelberg UniversityVerified email at kip.uni-heidelberg.de
Laura KrienerPostdoctoral Researcher, Institute of Neuroinformatics, University of Zurich & ETH ZurichVerified email at unibe.ch
Johannes BillHarvard Medical SchoolVerified email at hms.harvard.edu
Eric MüllerRuprecht-Karls-Universität HeidelbergVerified email at kip.uni-heidelberg.de
Luziwei LengACS lab, Central Research Institute, Huawei 2012 LaboratoriesVerified email at huawei.com
Korbinian SchreiberHeidelberg UniversityVerified email at kip.uni-heidelberg.de
Christian PehleNeuroAI Scholar, Cold Spring Harbor LaboratoryVerified email at cshl.edu
Timo C. WunderlichCharité – Universitätsmedizin BerlinVerified email at charite.de
Yannik StradmannKirchhoff-Institute for Physics, Heidelberg UniversityVerified email at kip.uni-heidelberg.de
Andreas HartelKirchhof-Institut for Physics, Universität HeidelbergVerified email at kip.uni-heidelberg.de
Christian MauchKirchhoff-Insittute for Physics, Heidelberg UniversityVerified email at alice-dsl.net

Mihai A. Petrovici

Other namesMihai Alexandru Petrovici, Mihai Petrovici

Group Leader, NeuroTMA Lab, University of Bern

Verified email at unibe.ch - Homepage

Brain-Inspired Computing Neuromorphics Computational Neuroscience Theoretical Neuroscience


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ALICE: Physics performance report, volume I F Carminati, P Foka, P Giubellino, A Morsch, G Paic, JP Revol, K Safarik, ... Journal of Physics G: Nuclear and Particle Physics 30 (11), 1517, 2004	463	2004
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, 11, 2013	226	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	214	2017
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	148	2019
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	148	2011
Fast and energy-efficient neuromorphic deep learning with first-spike times J Göltz, L Kriener, A Baumbach, S Billaudelle, O Breitwieser, B Cramer, ... Nature machine intelligence 3 (9), 823-835, 2021	129	2021
Visualizing a joint future of neuroscience and neuromorphic engineering F Zenke, SM Bohté, C Clopath, IM Comşa, J Göltz, W Maass, ... Neuron 109 (4), 571-575, 2021	85	2021
ALICE: Physics performance report, volume I P Cortese, G Dellacasa, L Ramello, M Sitta, S Ahmad, W Bari, M Irfan, ... Journal of Physics G: Nuclear and Particle Physics 30 (11), 2004	83	2004
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	81	2014
Stochastic inference with spiking neurons in the high-conductance state MA Petrovici, J Bill, I Bytschok, J Schemmel, K Meier Physical Review E 94 (4), 042312, 2016	76	2016
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	58	2020
Evolving interpretable plasticity for spiking networks J Jordan, M Schmidt, W Senn, MA Petrovici Elife 10, e66273, 2021	52	2021
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	48*	2018
Stochastic inference with deterministic spiking neurons MA Petrovici, J Bill, I Bytschok, J Schemmel, K Meier arXiv preprint arXiv:1311.3211, 2013	48	2013
Fast and deep neuromorphic learning with first-spike coding J Göltz, A Baumbach, S Billaudelle, AF Kungl, O Breitwieser, K Meier, ... Proceedings of the 2020 Annual Neuro-Inspired Computational Elements …, 2020	42	2020
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	41	2019
Form versus function: theory and models for neuronal substrates MA Petrovici Springer International Publishing, 2016	39*	2016
Predictive olfactory learning in Drosophila C Zhao, YF Widmer, S Diegelmann, MA Petrovici, SG Sprecher, W Senn Scientific reports 11 (1), 6795, 2021	37	2021
Stochasticity from function—why the bayesian brain may need no noise D Dold, I Bytschok, AF Kungl, A Baumbach, O Breitwieser, W Senn, ... Neural networks 119, 200-213, 2019	34*	2019
Neurobench: Advancing neuromorphic computing through collaborative, fair and representative benchmarking J Yik, SH Ahmed, Z Ahmed, B Anderson, AG Andreou, C Bartolozzi, ... Jason Yik, Soikat Hasan Ahmed, Zergham Ahmed, Brian Anderson, Andreas G …, 2023	33*	2023

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