Mihai A. Petrovici

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Johannes SchemmelHeidelberg UniversityVerified email at kip.uni-heidelberg.de
Karlheinz MeierRuprecht-Karls-Universität HeidelbergVerified 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 BillaudelleInstitute of Neuroinformatics, University of Zürich and ETH ZürichVerified email at ini.uzh.ch
Jakob JordanDepartment of Physiology, University of BernVerified email at unibe.ch
Laura KrienerPostdoctoral Researcher, Institute of Neuroinformatics, University of Zurich & ETH ZurichVerified 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
Johannes BillHarvard Medical SchoolVerified email at hms.harvard.edu
Andreas GrüblHeidelberg UniversityVerified email at kip.uni-heidelberg.de
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
Timo C. WunderlichCharité – Universitätsmedizin BerlinVerified email at charite.de
Christian PehleNeuroAI Scholar, Cold Spring Harbor LaboratoryVerified email at cshl.edu
Yannik StradmannKirchhoff-Institute for Physics, Heidelberg UniversityVerified email at kip.uni-heidelberg.de
Thomas PfeilRecogniVerified email at mailbox.org
Andreas HartelKirchhof-Institut for Physics, Universität HeidelbergVerified email at kip.uni-heidelberg.de

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	468	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	236	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	226	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	157	2019
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	156	2021
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
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	90	2021
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	85	2014
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	85	2004
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	83	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	61	2020
Evolving interpretable plasticity for spiking networks J Jordan, M Schmidt, W Senn, MA Petrovici Elife 10, e66273, 2021	54	2021
Stochastic inference with deterministic spiking neurons MA Petrovici, J Bill, I Bytschok, J Schemmel, K Meier arXiv preprint arXiv:1311.3211, 2013	50	2013
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
The neurobench framework for benchmarking neuromorphic computing algorithms and systems J Yik, K Van den Berghe, D den Blanken, Y Bouhadjar, M Fabre, ... Nature Communications 16 (1), 1545, 2025	47*	2025
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	45	2019
Predictive olfactory learning in Drosophila C Zhao, YF Widmer, S Diegelmann, MA Petrovici, SG Sprecher, W Senn Scientific reports 11 (1), 6795, 2021	41	2021
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	41	2020
Form versus function: theory and models for neuronal substrates MA Petrovici Springer International Publishing, 2016	41*	2016
Publishing statistical models: Getting the most out of particle physics experiments K Cranmer, S Kraml, H Prosper, P Bechtle, FU Bernlochner, IM Bloch, ... SciPost Physics 12 (1), 037, 2022	38	2022

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