Mihai A. Petrovici

67 papers A* 1B 2C 3Journal 51Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Variational Latent Equilibrium for Learning in Neuronal Circuits.
CoRR
Simon Brandt, Paul Haider, Walter Senn, Federico Benitez, Mihai A. Petrovici
2026 J jnl
Real-time processing of analog signals on accelerated neuromorphic hardware.
CoRR
Yannik Stradmann, Johannes Schemmel, Mihai A. Petrovici, Laura Kriener
2025 J jnl
Building functional and mechanistic models of cortical computation based on canonical cell type connectivity.
CoRR
Arno Granier, Katharina A. Wilmes, Mihai A. Petrovici, Walter Senn
2025 J jnl
Synchronization and semantization in deep spiking networks.
CoRR
Jonas Oberste-Frielinghaus, Anno C. Kurth, Julian Göltz, Laura Kriener, Junji Ito, Mihai A. Petrovici, Sonja Grün
2025 J jnl
Weight transport through spike timing for robust local gradients.
CoRR
Timo Gierlich, Andreas Baumbach, Ákos F. Kungl, Kevin Max, Mihai A. Petrovici
2024 J jnl
A method for the ethical analysis of brain-inspired AI.
Artif. Intell. Rev.
Michele Farisco, Gianluca Baldassarre, Emilio Cartoni, Antonia Leach, Mihai A. Petrovici, Achim Rosemann, Arleen Salles, Bernd Stahl, Sacha J. van Albada
2024 J jnl
Backpropagation through space, time, and the brain.
CoRR
Benjamin Ellenberger, Paul Haider, Jakob Jordan, Kevin Max, Ismael Jaras, Laura Kriener, Federico Benitez, Mihai A. Petrovici
2024 J jnl
Conductance-based dendrites perform Bayes-optimal cue integration.
PLoS Comput. Biol.
Jakob Jordan, João Sacramento, Willem A. M. Wybo, Mihai A. Petrovici, Walter Senn
2024 J jnl
DelGrad: Exact gradients in spiking networks for learning transmission delays and weights.
CoRR
Julian Göltz, Jimmy Weber, Laura Kriener, Peter Lake, Melika Payvand, Mihai A. Petrovici
2024 J jnl
Emulating insect brains for neuromorphic navigation.
CoRR
Korbinian Schreiber, Timo Wunderlich, Philipp Spilger, Sebastian Billaudelle, Benjamin Cramer, Yannik Stradmann, Christian Pehle, Eric Müller, Mihai A. Petrovici, Johannes Schemmel, Karlheinz Meier
2024 J jnl
Learning efficient backprojections across cortical hierarchies in real time.
Nat. Mac. Intell.
Kevin Max, Laura Kriener, Garibaldi Pineda García, Thomas Nowotny, Ismael Jaras, Walter Senn, Mihai A. Petrovici
2024 J jnl
Lu.i - A low-cost electronic neuron for education and outreach.
CoRR
Yannik Stradmann, Julian Göltz, Mihai A. Petrovici, Johannes Schemmel, Sebastian Billaudelle
2024 J jnl
Order from chaos: Interplay of development and learning in recurrent networks of structured neurons.
CoRR
Laura Kriener, Kristin Völk, Ben von Hünerbein, Federico Benitez, Walter Senn, Mihai A. Petrovici
2023 J jnl
A method for the ethical analysis of brain-inspired AI.
CoRR
Michele Farisco, Gianluca Baldassarre, Emilio Cartoni, Antonia Leach, Mihai A. Petrovici, Achim Rosemann, Arleen Salles, Bernd Stahl, Sacha J. van Albada
2023 J jnl
Gradient-based methods for spiking physical systems.
CoRR
Julian Göltz, Sebastian Billaudelle, Laura Kriener, Luca Blessing, Christian Pehle, Eric Müller, Johannes Schemmel, Mihai A. Petrovici
2023 — conf
Learning Efficient Backprojections Across Cortical Hierarchies in Real Time.
ICANN (1)
Kevin Max, Laura Kriener, Garibaldi Pineda García, Thomas Nowotny, Walter Senn, Mihai A. Petrovici
2023 J jnl
Learning beyond sensations: how dreams organize neuronal representations.
CoRR
Nicolas Deperrois, Mihai A. Petrovici, Walter Senn, Jakob Jordan
2023 J jnl
NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking.
CoRR
Jason Yik, Soikat Hasan Ahmed, Zergham Ahmed, Brian Anderson, Andreas G. Andreou, Chiara Bartolozzi, Arindam Basu, Douwe den Blanken, Petrut Bogdan, Sander M. Bohté, Younes Bouhadjar, Sonia M. Buckley, Gert Cauwenberghs, Federico Corradi, Guido de Croon, Andreea Danielescu, Anurag Reddy Daram, Mike Davies, Yigit Demirag, Jason Eshraghian, Jeremy Forest, Steve B. Furber, P. Michael Furlong, Aditya Gilra, Giacomo Indiveri, Siddharth Joshi, Vedant Karia, Lyes Khacef, James C. Knight, Laura Kriener, Rajkumar Kubendran, Dhireesha Kudithipudi, Gregor Lenz, Rajit Manohar, Christian Mayr, Konstantinos P. Michmizos, Dylan R. Muir, Emre Neftci, Thomas Nowotny, Fabrizio Ottati, Ayça Özcelikkale, Noah Pacik-Nelson, Priyadarshini Panda, Pao-Sheng Sun, Melika Payvand, Christian Pehle, Mihai A. Petrovici, Christoph Posch, Alpha Renner, Yulia Sandamirskaya, Clemens JS Schaefer, André van Schaik, Johannes Schemmel, Catherine D. Schuman, Jae-sun Seo, Sumit Bam Shrestha, Manolis Sifalakis, Amos Sironi, Kenneth Michael Stewart, Terrence C. Stewart, Philipp Stratmann, Guangzhi Tang, Jonathan Timcheck, Marian Verhelst, Craig M. Vineyard, Bernhard Vogginger, Amirreza Yousefzadeh, Biyan Zhou, Fatima Tuz Zohora, Charlotte Frenkel, Vijay Janapa Reddi
2023 J jnl
Precision estimation and second-order prediction errors in cortical circuits.
CoRR
Arno Granier, Mihai A. Petrovici, Walter Senn, Katharina A. Wilmes
2022 J jnl
Cortical oscillations support sampling-based computations in spiking neural networks.
PLoS Comput. Biol.
Agnes Korcsak-Gorzo, Michael G. Müller, Andreas Baumbach, Luziwei Leng, Oliver Julien Breitwieser, Sacha J. van Albada, Walter Senn, Karlheinz Meier, Robert Legenstein, Mihai A. Petrovici
2022 J jnl
DELAUNAY: a dataset of abstract art for psychophysical and machine learning research.
CoRR
Camille Gontier, Jakob Jordan, Mihai A. Petrovici
2022 J jnl
Learning efficient backprojections across cortical hierarchies in real time.
CoRR
Kevin Max, Laura Kriener, Garibaldi Pineda García, Thomas Nowotny, Walter Senn, Mihai A. Petrovici
2022 — conf
Quantum many-body states: A novel neuromorphic application.
NICE
Andreas Baumbach, Robert Klassert, Stefanie Czischek, Martin Gärttner, Mihai A. Petrovici
2022 — conf
The Yin-Yang dataset.
NICE
Laura Kriener, Julian Göltz, Mihai A. Petrovici
2021 J jnl
BrainScaleS: Greater Versatility for Neuromorphic Emulation.
ERCIM News
Andreas Baumbach, Sebastian Billaudelle, Virginie Sabado, Mihai A. Petrovici
2021 J jnl
Evolving Neuronal Plasticity Rules using Cartesian Genetic Programming.
CoRR
Henrik D. Mettler, Maximilian Schmidt, Walter Senn, Mihai A. Petrovici, Jakob Jordan
2021 — conf
Evolving neuronal plasticity rules using cartesian genetic programming.
GECCO Companion
Henrik D. Mettler, Maximilian Schmidt, Walter Senn, Mihai A. Petrovici, Jakob Jordan
2021 J jnl
Fast and Energy-efficient Deep Neuromorphic Learning.
ERCIM News
Julian Göltz, Laura Kriener, Virginie Sabado, Mihai A. Petrovici
2021 J jnl
Fast and energy-efficient neuromorphic deep learning with first-spike times.
Nat. Mach. Intell.
Julian Göltz, Laura Kriener, Andreas Baumbach, Sebastian Billaudelle, Oliver Breitwieser, Benjamin Cramer, Dominik Dold, Ákos F. Kungl, Walter Senn, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici
2021 J jnl
Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons.
CoRR
Paul Haider, Benjamin Ellenberger, Laura Kriener, Jakob Jordan, Walter Senn, Mihai A. Petrovici
2021 A* conf
Latent Equilibrium: Arbitrarily fast computation with arbitrarily slow neurons.
NeurIPS
Paul Haider, Benjamin Ellenberger, Laura Kriener, Jakob Jordan, Walter Senn, Mihai A. Petrovici
2021 J jnl
Memory semantization through perturbed and adversarial dreaming.
CoRR
Nicolas Deperrois, Mihai A. Petrovici, Walter Senn, Jakob Jordan
2021 J jnl
Structural plasticity on an accelerated analog neuromorphic hardware system.
Neural Networks
Sebastian Billaudelle, Benjamin Cramer, Mihai A. Petrovici, Korbinian Schreiber, David Kappel, Johannes Schemmel, Karlheinz Meier
2021 J jnl
The Yin-Yang dataset.
CoRR
Laura Kriener, Julian Göltz, Mihai A. Petrovici
2021 J jnl
Uncovering Neuronal Learning Principles through Artificial Evolution.
ERCIM News
Henrik D. Mettler, Virginie Sabado, Walter Senn, Mihai A. Petrovici, Jakob Jordan
2021 J jnl
Variational learning of quantum ground states on spiking neuromorphic hardware.
CoRR
Robert Klassert, Andreas Baumbach, Mihai A. Petrovici, Martin Gärttner
2020 — conf
Closed-loop experiments on the BrainScaleS-2 architecture.
NICE
Korbinian Schreiber, Timo C. Wunderlich, Christian Pehle, Mihai A. Petrovici, Johannes Schemmel, Karlheinz Meier
2020 — conf
Conductance-based dendrites perform reliability-weighted opinion pooling.
NICE
Jakob Jordan, Mihai A. Petrovici, Walter Senn, João Sacramento
2020 — conf
Fast and deep neuromorphic learning with first-spike coding.
NICE
Julian Göltz, Andreas Baumbach, Sebastian Billaudelle, Ákos F. Kungl, Oliver Breitwieser, Karlheinz Meier, Johannes Schemmel, Laura Kriener, Mihai A. Petrovici
2020 C conf
Live Demonstration: Versatile Emulation of Spiking Neural Networks on an Accelerated Neuromorphic Substrate.
ISCAS
Sebastian Billaudelle, Yannik Stradmann, Korbinian Schreiber, Benjamin Cramer, Andreas Baumbach, Dominik Dold, Julian Göltz, Ákos Ferenc Kungl, Timo C. Wunderlich, Andreas Hartel, Eric Müller, Oliver Breitwieser, Christian Mauch, Mitja Kleider, Andreas Grübl, David Stöckel, Christian Pehle, Arthur Heimbrecht, Philipp Spilger, Gerd Kiene, Vitali Karasenko, Walter Senn, Mihai A. Petrovici, Johannes Schemmel, Karlheinz Meier
2020 — conf
Natural gradient learning for spiking neurons.
NICE
Elena Kreutzer, Mihai A. Petrovici, Walter Senn
2020 J jnl
Natural-gradient learning for spiking neurons.
CoRR
Elena Kreutzer, Walter M. Senn, Mihai A. Petrovici
2020 J jnl
Spiking neuromorphic chip learns entangled quantum states.
CoRR
Stefanie Czischek, Andreas Baumbach, Sebastian Billaudelle, Benjamin Cramer, Lukas Kades, Jan M. Pawlowski, Markus K. Oberthaler, Johannes Schemmel, Mihai A. Petrovici, Thomas Gasenzer, Martin Gärttner
2020 C conf
Versatile Emulation of Spiking Neural Networks on an Accelerated Neuromorphic Substrate.
ISCAS
Sebastian Billaudelle, Yannik Stradmann, Korbinian Schreiber, Benjamin Cramer, Andreas Baumbach, Dominik Dold, Julian Göltz, Ákos Ferenc Kungl, Timo C. Wunderlich, Andreas Hartel, Eric Müller, Oliver Breitwieser, Christian Mauch, Mitja Kleider, Andreas Grübl, David Stöckel, Christian Pehle, Arthur Heimbrecht, Philipp Spilger, Gerd Kiene, Vitali Karasenko, Walter Senn, Mihai A. Petrovici, Johannes Schemmel, Karlheinz Meier
2019 — conf
Brain-Inspired Hardware for Artificial Intelligence: Accelerated Learning in a Physical-Model Spiking Neural Network.
ICANN (1)
Timo Wunderlich, Ákos F. Kungl, Eric Müller, Johannes Schemmel, Mihai A. Petrovici
2019 J jnl
Brain-Inspired Hardware for Artificial Intelligence: Accelerated Learning in a Physical-Model Spiking Neural Network.
CoRR
Timo C. Wunderlich, Ákos F. Kungl, Eric Müller, Johannes Schemmel, Mihai A. Petrovici
2019 J jnl
Fast and deep neuromorphic learning with time-to-first-spike coding.
CoRR
Julian Göltz, Andreas Baumbach, Sebastian Billaudelle, Oliver Breitwieser, Dominik Dold, Laura Kriener, Ákos Ferenc Kungl, Walter Senn, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici
2019 J jnl
Stochasticity from function - Why the Bayesian brain may need no noise.
Neural Networks
Dominik Dold, Ilja Bytschok, Ákos F. Kungl, Andreas Baumbach, Oliver Breitwieser, Walter Senn, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici
2019 J jnl
Structural plasticity on an accelerated analog neuromorphic hardware system.
CoRR
Sebastian Billaudelle, Benjamin Cramer, Mihai A. Petrovici, Korbinian Schreiber, David Kappel, Johannes Schemmel, Karlheinz Meier
2019 J jnl
Versatile emulation of spiking neural networks on an accelerated neuromorphic substrate.
CoRR
Sebastian Billaudelle, Yannik Stradmann, Korbinian Schreiber, Benjamin Cramer, Andreas Baumbach, Dominik Dold, Julian Göltz, Ákos F. Kungl, Timo C. Wunderlich, Andreas Hartel, Eric Müller, Oliver Breitwieser, Christian Mauch, Mitja Kleider, Andreas Grübl, David Stöckel, Christian Pehle, Arthur Heimbrecht, Philipp Spilger, Gerd Kiene, Vitali Karasenko, Walter Senn, Mihai A. Petrovici, Johannes Schemmel, Karlheinz Meier
2018 J jnl
Demonstrating Advantages of Neuromorphic Computation: A Pilot Study.
CoRR
Timo Wunderlich, Ákos F. Kungl, Eric Müller, Andreas Hartel, Yannik Stradmann, Syed Ahmed Aamir, Andreas Grübl, Arthur Heimbrecht, Korbinian Schreiber, David Stöckel, Christian Pehle, Sebastian Billaudelle, Gerd Kiene, Christian Mauch, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici
2018 J jnl
Generative models on accelerated neuromorphic hardware.
CoRR
Ákos F. Kungl, Sebastian Schmitt, Johann Klähn, Paul Müller, Andreas Baumbach, Dominik Dold, Alexander Kugele, Nico Gürtler, Luziwei Leng, Eric Müller, Christoph Koke, Mitja Kleider, Christian Mauch, Oliver Breitwieser, Maurice Güttler, Dan Husmann de Oliveira, Kai Husmann, Joscha Ilmberger, Andreas Hartel, Vitali Karasenko, Andreas Grübl, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici
2018 J jnl
Stochasticity from function - why the Bayesian brain may need no noise.
CoRR
Dominik Dold, Ilja Bytschok, Ákos F. Kungl, Andreas Baumbach, Oliver Breitwieser, Walter Senn, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici
2017 J jnl
Neuromorphic Hardware In The Loop: Training a Deep Spiking Network on the BrainScaleS Wafer-Scale System.
CoRR
Sebastian Schmitt, Johann Klaehn, Guillaume Bellec, Andreas Grübl, Maurice Guettler, Andreas Hartel, Stephan Hartmann, Dan Husmann de Oliveira, Kai Husmann, Vitali Karasenko, Mitja Kleider, Christoph Koke, Christian Mauch, Eric Müller, Paul Müller, Johannes Partzsch, Mihai A. Petrovici, Stefan Schiefer, Stefan Scholze, Bernhard Vogginger, Robert Legenstein, Wolfgang Maass, Christian Mayr, Johannes Schemmel, Karlheinz Meier
2017 B conf
Neuromorphic hardware in the loop: Training a deep spiking network on the BrainScaleS wafer-scale system.
IJCNN
Sebastian Schmitt, Johann Klähn, Guillaume Bellec, Andreas Grübl, Maurice Güttler, Andreas Hartel, Stephan Hartmann, Dan Husmann de Oliveira, Kai Husmann, Sebastian Jeltsch, Vitali Karasenko, Mitja Kleider, Christoph Koke, Alexander Kononov, Christian Mauch, Eric Müller, Paul Müller, Johannes Partzsch, Mihai A. Petrovici, Stefan Schiefer, Stefan Scholze, Vasilis N. Thanasoulis, Bernhard Vogginger, Robert Legenstein, Wolfgang Maass, Christian Mayr, René Schüffny, Johannes Schemmel, Karlheinz Meier
2017 C conf
Pattern representation and recognition with accelerated analog neuromorphic systems.
ISCAS
Mihai A. Petrovici, Sebastian Schmitt, Johann Klähn, Robert D. St. Louis, Anna Schroeder, Guillaume Bellec, Johannes Bill, Oliver Breitwieser, Ilja Bytschok, Andreas Grübl, Maurice Güttler, Andreas Hartel, Stephan Hartmann, Dan Husmann de Oliveira, Kai Husmann, Sebastian Jeltsch, Vitali Karasenko, Mitja Kleider, Christoph Koke, Alexander Kononov, Christian Mauch, Eric Müller, Paul Müller, Johannes Partzsch, Thomas Pfeil, Stefan Schiefer, Stefan Scholze, Anand Subramoney, Vasilis N. Thanasoulis, Bernhard Vogginger, Robert Legenstein, Wolfgang Maass, René Schüffny, Christian Mayr, Johannes Schemmel, Karlheinz Meier
2017 J jnl
Pattern representation and recognition with accelerated analog neuromorphic systems.
CoRR
Mihai A. Petrovici, Sebastian Schmitt, Johann Klähn, David Stöckel, Anna Schroeder, Guillaume Bellec, Johannes Bill, Oliver Breitwieser, Ilja Bytschok, Andreas Grübl, Maurice Güttler, Andreas Hartel, Stephan Hartmann, Dan Husmann de Oliveira, Kai Husmann, Sebastian Jeltsch, Vitali Karasenko, Mitja Kleider, Christoph Koke, Alexander Kononov, Christian Mauch, Paul Müller, Johannes Partzsch, Thomas Pfeil, Stefan Schiefer, Stefan Scholze, Anand Subramoney, Vasilis N. Thanasoulis, Bernhard Vogginger, Robert Legenstein, Wolfgang Maass, René Schüffny, Christian Mayr, Johannes Schemmel, Karlheinz Meier
2017 B conf
Robustness from structure: Inference with hierarchical spiking networks on analog neuromorphic hardware.
IJCNN
Mihai A. Petrovici, Anna Schroeder, Oliver Breitwieser, Andreas Grübl, Johannes Schemmel, Karlheinz Meier
2017 J jnl
Robustness from structure: Inference with hierarchical spiking networks on analog neuromorphic hardware.
CoRR
Mihai A. Petrovici, Anna Schroeder, Oliver Breitwieser, Andreas Grübl, Johannes Schemmel, Karlheinz Meier
2017 J jnl
Spiking neurons with short-term synaptic plasticity form superior generative networks.
CoRR
Luziwei Leng, Roman Martel, Oliver Breitwieser, Ilja Bytschok, Walter Senn, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici
2016 J jnl
Stochastic inference with spiking neurons in the high-conductance state.
CoRR
Mihai A. Petrovici, Johannes Bill, Ilja Bytschok, Johannes Schemmel, Karlheinz Meier
2016 J jnl
The high-conductance state enables neural sampling in networks of LIF neurons.
CoRR
Mihai A. Petrovici, Ilja Bytschok, Johannes Bill, Johannes Schemmel, Karlheinz Meier
2015 — —
Form vs. function: theory and models for neuronal substrates.
Mihai A. Petrovici
2015 J jnl
Probabilistic inference in discrete spaces can be implemented into networks of LIF neurons.
Frontiers Comput. Neurosci.
Dimitri Probst, Mihai A. Petrovici, Ilja Bytschok, Johannes Bill, Dejan Pecevski, Johannes Schemmel, Karlheinz Meier
2014 J jnl
Bridging the gap between software simulation and emulation on neuromorphic hardware: An investigation of causes, effects and compensation of network-level anomalies in a mixed-signal waferscale neuromorphic modeling platform.
CoRR
Mihai A. Petrovici, Bernhard Vogginger, Paul Müller, Oliver Breitwieser, Mikael Lundqvist, Lyle Muller, Matthias Ehrlich, Alain Destexhe, Anders Lansner, René Schüffny, Johannes Schemmel, Karlheinz Meier
2013 J jnl
Stochastic inference with deterministic spiking neurons.
CoRR
Mihai A. Petrovici, Johannes Bill, Ilja Bytschok, Johannes Schemmel, Karlheinz Meier
2011 J jnl
A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems.
Biol. Cybern.
Daniel Brüderle, Mihai A. Petrovici, Bernhard Vogginger, Matthias Ehrlich, Thomas Pfeil, Sebastian Millner, Andreas Grübl, Karsten Wendt, Eric Müller, Marc-Olivier Schwartz, Dan Husmann de Oliveira, Sebastian Jeltsch, Johannes Fieres, Moritz Schilling, Paul Müller, Oliver Breitwieser, Venelin Petkov, Lyle Muller, Andrew P. Davison, Pradeep Krishnamurthy, Jens Kremkow, Mikael Lundqvist, Eilif B. Muller, Johannes Partzsch, Stefan Scholze, Lukas Zühl, Christian Mayr, Alain Destexhe, Markus Diesmann, Tobias C. Potjans, Anders Lansner, René Schüffny, Johannes Schemmel, Karlheinz Meier