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Mihai A. Petrovici
Mihai-Alexandru Petrovici
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- affiliation: Heidelberg University, Kirchhoff Institute for Physics, Germany
- affiliation: University of Bern, Department of Physiology, Switzerland
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2020 – today
- 2024
- [j9]Michele Farisco, Gianluca Baldassarre, Emilio Cartoni, Antonia Leach, Mihai A. Petrovici
, Achim Rosemann
A method for the ethical analysis of brain-inspired AI. Artif. Intell. Rev. 57(6): 133 (2024) - [j8]Kevin Max
Learning efficient backprojections across cortical hierarchies in real time. Nat. Mac. Intell. 6(6): 619-630 (2024) - [j7]Jakob Jordan
Conductance-based dendrites perform Bayes-optimal cue integration. PLoS Comput. Biol. 20(6): 1012047 (2024) - [i37]Korbinian Schreiber, Timo Wunderlich, Philipp Spilger, Sebastian Billaudelle, Benjamin Cramer, Yannik Stradmann
Emulating insect brains for neuromorphic navigation. CoRR abs/2401.00473 (2024) - [i36]Laura Kriener, Kristin Völk, Ben von Hünerbein, Federico Benitez, Walter Senn, Mihai A. Petrovici
Order from chaos: Interplay of development and learning in recurrent networks of structured neurons. CoRR abs/2402.16763 (2024) - [i35]Benjamin Ellenberger, Paul Haider, Jakob Jordan, Kevin Max, Ismael Jaras, Laura Kriener, Federico Benitez, Mihai A. Petrovici
Backpropagation through space, time, and the brain. CoRR abs/2403.16933 (2024) - [i34]Yannik Stradmann, Julian Göltz, Mihai A. Petrovici, Johannes Schemmel, Sebastian Billaudelle:
Lu.i - A low-cost electronic neuron for education and outreach. CoRR abs/2404.16664 (2024) - [i33]Julian Göltz, Jimmy Weber, Laura Kriener, Peter Lake, Melika Payvand, Mihai A. Petrovici:
DelGrad: Exact gradients in spiking networks for learning transmission delays and weights. CoRR abs/2404.19165 (2024) - 2023
- [c17]Kevin Max
Learning Efficient Backprojections Across Cortical Hierarchies in Real Time. ICANN (1) 2023: 556-559 - [i32]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
NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking. CoRR abs/2304.04640 (2023) - [i31]Michele Farisco, Gianluca Baldassarre, Emilio Cartoni, Antonia Leach, Mihai A. Petrovici, Achim Rosemann, Arleen Salles, Bernd Stahl, Sacha J. van Albada:
A method for the ethical analysis of brain-inspired AI. CoRR abs/2305.10938 (2023) - [i30]Nicolas Deperrois, Mihai A. Petrovici
Learning beyond sensations: how dreams organize neuronal representations. CoRR abs/2308.01830 (2023) - [i29]Julian Göltz, Sebastian Billaudelle, Laura Kriener, Luca Blessing, Christian Pehle, Eric Müller, Johannes Schemmel, Mihai A. Petrovici
Gradient-based methods for spiking physical systems. CoRR abs/2309.10823 (2023) - [i28]Arno Granier, Mihai A. Petrovici
Precision estimation and second-order prediction errors in cortical circuits. CoRR abs/2309.16046 (2023) - 2022
- [j6]Agnes Korcsak-Gorzo
Cortical oscillations support sampling-based computations in spiking neural networks. PLoS Comput. Biol. 18(3) (2022) - [c16]Andreas Baumbach, Robert Klassert, Stefanie Czischek, Martin Gärttner, Mihai A. Petrovici
Quantum many-body states: A novel neuromorphic application. NICE 2022: 104-106 - [c15]Laura Kriener, Julian Göltz, Mihai A. Petrovici
The Yin-Yang dataset. NICE 2022: 107-111 - [i27]Camille Gontier, Jakob Jordan, Mihai A. Petrovici:
DELAUNAY: a dataset of abstract art for psychophysical and machine learning research. CoRR abs/2201.12123 (2022) - [i26]Kevin Max, Laura Kriener, Garibaldi Pineda García, Thomas Nowotny, Walter Senn
Learning efficient backprojections across cortical hierarchies in real time. CoRR abs/2212.10249 (2022) - 2021
- [j5]Julian Göltz
Fast and energy-efficient neuromorphic deep learning with first-spike times. Nat. Mach. Intell. 3(9): 823-835 (2021) - [j4]Sebastian Billaudelle, Benjamin Cramer, Mihai A. Petrovici
Structural plasticity on an accelerated analog neuromorphic hardware system. Neural Networks 133: 11-20 (2021) - [c14]Henrik D. Mettler, Maximilian Schmidt, Walter Senn
Evolving neuronal plasticity rules using cartesian genetic programming. GECCO Companion 2021: 285-286 - [c13]Paul Haider, Benjamin Ellenberger, Laura Kriener, Jakob Jordan, Walter Senn, Mihai A. Petrovici:
Latent Equilibrium: Arbitrarily fast computation with arbitrarily slow neurons. NeurIPS 2021: 17839-17851 - [i25]Henrik D. Mettler, Maximilian Schmidt, Walter Senn, Mihai A. Petrovici, Jakob Jordan:
Evolving Neuronal Plasticity Rules using Cartesian Genetic Programming. CoRR abs/2102.04312 (2021) - [i24]Laura Kriener, Julian Göltz, Mihai A. Petrovici:
The Yin-Yang dataset. CoRR abs/2102.08211 (2021) - [i23]Nicolas Deperrois, Mihai A. Petrovici, Walter Senn, Jakob Jordan:
Memory semantization through perturbed and adversarial dreaming. CoRR abs/2109.04261 (2021) - [i22]Robert Klassert, Andreas Baumbach, Mihai A. Petrovici, Martin Gärttner:
Variational learning of quantum ground states on spiking neuromorphic hardware. CoRR abs/2109.15169 (2021) - [i21]Paul Haider, Benjamin Ellenberger, Laura Kriener, Jakob Jordan, Walter Senn, Mihai A. Petrovici:
Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons. CoRR abs/2110.14549 (2021) - [i20]Andreas Baumbach, Sebastian Billaudelle, Virginie Sabado, Mihai A. Petrovici:
BrainScaleS: Greater Versatility for Neuromorphic Emulation. ERCIM News 2021(125) (2021) - [i19]Julian Göltz, Laura Kriener, Virginie Sabado, Mihai A. Petrovici:
Fast and Energy-efficient Deep Neuromorphic Learning. ERCIM News 2021(125) (2021) - [i18]Henrik D. Mettler, Virginie Sabado, Walter Senn, Mihai A. Petrovici, Jakob Jordan:
Uncovering Neuronal Learning Principles through Artificial Evolution. ERCIM News 2021(125) (2021) - 2020
- [c12]Sebastian Billaudelle, Yannik Stradmann
Versatile Emulation of Spiking Neural Networks on an Accelerated Neuromorphic Substrate. ISCAS 2020: 1-5 - [c11]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
Live Demonstration: Versatile Emulation of Spiking Neural Networks on an Accelerated Neuromorphic Substrate. ISCAS 2020: 1 - [c10]Jakob Jordan, Mihai A. Petrovici
Conductance-based dendrites perform reliability-weighted opinion pooling. NICE 2020: 11:1-11:3 - [c9]Julian Göltz, Andreas Baumbach, Sebastian Billaudelle, Ákos F. Kungl, Oliver Breitwieser, Karlheinz Meier, Johannes Schemmel, Laura Kriener, Mihai A. Petrovici
Fast and deep neuromorphic learning with first-spike coding. NICE 2020: 14:1-14:3 - [c8]Elena Kreutzer, Mihai A. Petrovici
Natural gradient learning for spiking neurons. NICE 2020: 15:1-15:3 - [c7]Korbinian Schreiber, Timo C. Wunderlich, Christian Pehle, Mihai A. Petrovici
Closed-loop experiments on the BrainScaleS-2 architecture. NICE 2020: 17:1-17:3 - [i17]Stefanie Czischek
Spiking neuromorphic chip learns entangled quantum states. CoRR abs/2008.01039 (2020) - [i16]Elena Kreutzer, Walter M. Senn, Mihai A. Petrovici:
Natural-gradient learning for spiking neurons. CoRR abs/2011.11710 (2020)
2010 – 2019
- 2019
- [j3]Dominik Dold
Stochasticity from function - Why the Bayesian brain may need no noise. Neural Networks 119: 200-213 (2019) - [c6]Timo Wunderlich, Ákos F. Kungl, Eric Müller, Johannes Schemmel, Mihai A. Petrovici
Brain-Inspired Hardware for Artificial Intelligence: Accelerated Learning in a Physical-Model Spiking Neural Network. ICANN (1) 2019: 119-122 - [i15]Timo C. Wunderlich, Ákos F. Kungl, Eric Müller, Johannes Schemmel, Mihai A. Petrovici:
Brain-Inspired Hardware for Artificial Intelligence: Accelerated Learning in a Physical-Model Spiking Neural Network. CoRR abs/1909.11145 (2019) - [i14]Julian Göltz, Andreas Baumbach, Sebastian Billaudelle, Oliver Breitwieser, Dominik Dold, Laura Kriener, Ákos Ferenc Kungl, Walter Senn, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici
Fast and deep neuromorphic learning with time-to-first-spike coding. CoRR abs/1912.11443 (2019) - [i13]Sebastian Billaudelle, Benjamin Cramer, Mihai A. Petrovici
Structural plasticity on an accelerated analog neuromorphic hardware system. CoRR abs/1912.12047 (2019) - [i12]Sebastian Billaudelle, Yannik Stradmann
Versatile emulation of spiking neural networks on an accelerated neuromorphic substrate. CoRR abs/1912.12980 (2019) - 2018
- [i11]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:
Generative models on accelerated neuromorphic hardware. CoRR abs/1807.02389 (2018) - [i10]Dominik Dold, Ilja Bytschok, Ákos F. Kungl, Andreas Baumbach, Oliver Breitwieser, Walter Senn, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici:
Stochasticity from function - why the Bayesian brain may need no noise. CoRR abs/1809.08045 (2018) - [i9]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:
Demonstrating Advantages of Neuromorphic Computation: A Pilot Study. CoRR abs/1811.03618 (2018) - 2017
- [c5]Mihai A. Petrovici
Robustness from structure: Inference with hierarchical spiking networks on analog neuromorphic hardware. IJCNN 2017: 2209-2216 - [c4]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
Neuromorphic hardware in the loop: Training a deep spiking network on the BrainScaleS wafer-scale system. IJCNN 2017: 2227-2234 - [c3]Mihai A. Petrovici
Pattern representation and recognition with accelerated analog neuromorphic systems. ISCAS 2017: 1-4 - [i8]Sebastian Schmitt
Neuromorphic Hardware In The Loop: Training a Deep Spiking Network on the BrainScaleS Wafer-Scale System. CoRR abs/1703.01909 (2017) - [i7]Mihai A. Petrovici, Anna Schroeder, Oliver Breitwieser, Andreas Grübl, Johannes Schemmel, Karlheinz Meier:
Robustness from structure: Inference with hierarchical spiking networks on analog neuromorphic hardware. CoRR abs/1703.04145 (2017) - [i6]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
Pattern representation and recognition with accelerated analog neuromorphic systems. CoRR abs/1703.06043 (2017) - [i5]Luziwei Leng, Roman Martel, Oliver Breitwieser, Ilja Bytschok, Walter Senn, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici:
Spiking neurons with short-term synaptic plasticity form superior generative networks. CoRR abs/1709.08166 (2017) - 2016
- [c2]Mihai-Alexandru Petrovici
Single Pixel Camera with Compressive Sensing by non-uniform sampling. COMM 2016: 443-448 - [i4]Mihai A. Petrovici, Ilja Bytschok, Johannes Bill, Johannes Schemmel, Karlheinz Meier:
The high-conductance state enables neural sampling in networks of LIF neurons. CoRR abs/1601.00909 (2016) - [i3]Mihai A. Petrovici, Johannes Bill, Ilja Bytschok, Johannes Schemmel, Karlheinz Meier:
Stochastic inference with spiking neurons in the high-conductance state. CoRR abs/1610.07161 (2016) - 2015
- [b1]Mihai A. Petrovici:
Form vs. function: theory and models for neuronal substrates. University of Heidelberg, Germany, 2015, pp. 1-389 - [j2]Dimitri Probst, Mihai A. Petrovici
Probabilistic inference in discrete spaces can be implemented into networks of LIF neurons. Frontiers Comput. Neurosci. 9: 13 (2015) - [c1]Mihai-Alexandru Petrovici
Rate-distortion performance of compressive sensing in single pixel camera. ICIT 2015: 1747-1751 - 2014
- [i2]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:
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 abs/1404.7514 (2014) - 2013
- [i1]Mihai A. Petrovici, Johannes Bill, Ilja Bytschok, Johannes Schemmel, Karlheinz Meier:
Stochastic inference with deterministic spiking neurons. CoRR abs/1311.3211 (2013) - 2011
- [j1]Daniel Brüderle, Mihai A. Petrovici
A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems. Biol. Cybern. 104(4-5): 263-296 (2011)
Coauthor Index
Oliver Breitwieser
aka: Oliver Julien Breitwieser
aka: Oliver Julien Breitwieser
Ákos F. Kungl
aka: Ákos Ferenc Kungl
aka: Ákos Ferenc Kungl
Walter Senn
aka: Walter M. Senn
aka: Walter M. Senn
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