A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems. - Daniel Brüderle; Mihai A. Petrovici; Bernhard Vogginger; Matthias Ehrlich; Thomas Pfeil; Sebastian Millner; Andreas Grübl; Karsten Wendt; Eric Müller 001; Marc-Olivier Schwartz; Dan Husmann de Oliveira; Sebastian Jeltsch; et al. (Biol. Cybern., 2011)

Stochastic inference with deterministic spiking neurons. - Mihai A. Petrovici; Johannes Bill; Ilja Bytschok; Johannes Schemmel; Karlheinz Meier (CoRR, 2013)

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. - Mihai A. Petrovici; Bernhard Vogginger; Paul Müller 002; Oliver Breitwieser; Mikael Lundqvist; Lyle Muller; Matthias Ehrlich; Alain Destexhe; Anders Lansner; René Schüffny; Johannes Schemmel; Karlheinz Meier (CoRR, 2014)

Rate-distortion performance of compressive sensing in single pixel camera. - Mihai-Alexandru Petrovici; Daniela Coltuc; Mihai Datcu; Tiberius Vasile (ICIT, 2015)

Probabilistic inference in discrete spaces can be implemented into networks of LIF neurons. - Dimitri Probst; Mihai A. Petrovici; Ilja Bytschok; Johannes Bill; Dejan Pecevski; Johannes Schemmel; Karlheinz Meier (Frontiers Comput. Neurosci., 2015)

Form vs. function: theory and models for neuronal substrates. - Mihai A. Petrovici (2015)

Single Pixel Camera with Compressive Sensing by non-uniform sampling. - Mihai-Alexandru Petrovici; Cristian Damian; Cristian Udrea; Florin Garoi; Daniela Coltuc (COMM, 2016)

The high-conductance state enables neural sampling in networks of LIF neurons. - Mihai A. Petrovici; Ilja Bytschok; Johannes Bill; Johannes Schemmel; Karlheinz Meier (CoRR, 2016)

Stochastic inference with spiking neurons in the high-conductance state. - Mihai A. Petrovici; Johannes Bill; Ilja Bytschok; Johannes Schemmel; Karlheinz Meier (CoRR, 2016)

Robustness from structure: Inference with hierarchical spiking networks on analog neuromorphic hardware. - Mihai A. Petrovici; Anna Schroeder; Oliver Breitwieser; Andreas Grübl; Johannes Schemmel; Karlheinz Meier (IJCNN, 2017)

Neuromorphic hardware in the loop: Training a deep spiking network on the BrainScaleS wafer-scale system. - Sebastian Schmitt; Johann Klähn; Guillaume Bellec; Andreas Grübl; Maurice Güttler; Andreas Hartel; Stephan Hartmann 002; Dan Husmann de Oliveira; Kai Husmann; Sebastian Jeltsch; Vitali Karasenko; Mitja Kleider; et al. (IJCNN, 2017)

Pattern representation and recognition with accelerated analog neuromorphic systems. - 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; et al. (ISCAS, 2017)

Pattern representation and recognition with accelerated analog neuromorphic systems. - 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; et al. (CoRR, 2017)

Neuromorphic Hardware In The Loop: Training a Deep Spiking Network on the BrainScaleS Wafer-Scale System. - Sebastian Schmitt; Johann Klaehn; Guillaume Bellec; Andreas Grübl; Maurice Guettler; Andreas Hartel; Stephan Hartmann 002; Dan Husmann de Oliveira; Kai Husmann; Vitali Karasenko; Mitja Kleider; Christoph Koke; et al. (CoRR, 2017)

Spiking neurons with short-term synaptic plasticity form superior generative networks. - Luziwei Leng; Roman Martel; Oliver Breitwieser; Ilja Bytschok; Walter Senn; Johannes Schemmel; Karlheinz Meier; Mihai A. Petrovici (CoRR, 2017)

Generative models on accelerated neuromorphic hardware. - Ákos F. Kungl; Sebastian Schmitt; Johann Klähn; Paul Müller 002; Andreas Baumbach; Dominik Dold; Alexander Kugele; Nico Gürtler; Luziwei Leng; Eric Müller 001; Christoph Koke; Mitja Kleider; et al. (CoRR, 2018)

Demonstrating Advantages of Neuromorphic Computation: A Pilot Study. - Timo Wunderlich; Ákos F. Kungl; Eric Müller 001; Andreas Hartel; Yannik Stradmann; Syed Ahmed Aamir; Andreas Grübl; Arthur Heimbrecht; Korbinian Schreiber; David Stöckel; Christian Pehle; Sebastian Billaudelle; et al. (CoRR, 2018)

Brain-Inspired Hardware for Artificial Intelligence: Accelerated Learning in a Physical-Model Spiking Neural Network. - Timo Wunderlich; Ákos F. Kungl; Eric Müller 001; Johannes Schemmel; Mihai A. Petrovici (ICANN (1), 2019)

Fast and deep neuromorphic learning with time-to-first-spike coding. - Julian Göltz; Andreas Baumbach; Sebastian Billaudelle; Oliver Breitwieser; Dominik Dold; Laura Kriener; Ákos Ferenc Kungl; Walter Senn; Johannes Schemmel; Karlheinz Meier; Mihai A. Petrovici (CoRR, 2019)

Stochasticity from function - Why the Bayesian brain may need no noise. - Dominik Dold; Ilja Bytschok; Ákos F. Kungl; Andreas Baumbach; Oliver Breitwieser; Walter Senn; Johannes Schemmel; Karlheinz Meier; Mihai A. Petrovici (Neural Networks, 2019)

Versatile Emulation of Spiking Neural Networks on an Accelerated Neuromorphic Substrate. - Sebastian Billaudelle; Yannik Stradmann; Korbinian Schreiber; Benjamin Cramer; Andreas Baumbach; Dominik Dold; Julian Göltz; Ákos Ferenc Kungl; Timo C. Wunderlich; Andreas Hartel; Eric Müller 001; Oliver Breitwieser; et al. (ISCAS, 2020)

Live Demonstration: Versatile Emulation of Spiking Neural Networks on an Accelerated Neuromorphic Substrate. - Sebastian Billaudelle; Yannik Stradmann; Korbinian Schreiber; Benjamin Cramer; Andreas Baumbach; Dominik Dold; Julian Göltz; Ákos Ferenc Kungl; Timo C. Wunderlich; Andreas Hartel; Eric Müller 001; Oliver Breitwieser; et al. (ISCAS, 2020)

Fast and deep neuromorphic learning with first-spike coding. - Julian Göltz; Andreas Baumbach; Sebastian Billaudelle; Ákos F. Kungl; Oliver Breitwieser; Karlheinz Meier; Johannes Schemmel; Laura Kriener; Mihai A. Petrovici (NICE, 2020)

Conductance-based dendrites perform reliability-weighted opinion pooling. - Jakob Jordan; Mihai A. Petrovici; Walter Senn; João Sacramento (NICE, 2020)

Natural gradient learning for spiking neurons. - Elena Kreutzer; Mihai A. Petrovici; Walter Senn (NICE, 2020)

Closed-loop experiments on the BrainScaleS-2 architecture. - Korbinian Schreiber; Timo C. Wunderlich; Christian Pehle; Mihai A. Petrovici; Johannes Schemmel; Karlheinz Meier (NICE, 2020)

Spiking neuromorphic chip learns entangled quantum states. - 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 (CoRR, 2020)

Evolving neuronal plasticity rules using cartesian genetic programming. - Henrik D. Mettler; Maximilian Schmidt; Walter Senn; Mihai A. Petrovici; Jakob Jordan (GECCO Companion, 2021)

Latent Equilibrium: Arbitrarily fast computation with arbitrarily slow neurons. - Paul Haider; Benjamin Ellenberger; Laura Kriener; Jakob Jordan; Walter Senn; Mihai A. Petrovici (NeurIPS, 2021)

Memory semantization through perturbed and adversarial dreaming. - Nicolas Deperrois; Mihai A. Petrovici; Walter Senn; Jakob Jordan (CoRR, 2021)

Variational learning of quantum ground states on spiking neuromorphic hardware. - Robert Klassert; Andreas Baumbach; Mihai A. Petrovici; Martin Gärttner (CoRR, 2021)

Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons. - Paul Haider; Benjamin Ellenberger; Laura Kriener; Jakob Jordan; Walter Senn; Mihai A. Petrovici (CoRR, 2021)

BrainScaleS: Greater Versatility for Neuromorphic Emulation. - Andreas Baumbach; Sebastian Billaudelle; Virginie Sabado; Mihai A. Petrovici (ERCIM News, 2021)

Fast and Energy-efficient Deep Neuromorphic Learning. - Julian Göltz; Laura Kriener; Virginie Sabado; Mihai A. Petrovici (ERCIM News, 2021)

Uncovering Neuronal Learning Principles through Artificial Evolution. - Henrik D. Mettler; Virginie Sabado; Walter Senn; Mihai A. Petrovici; Jakob Jordan (ERCIM News, 2021)

Fast and energy-efficient neuromorphic deep learning with first-spike times. - 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 (Nat. Mach. Intell., 2021)

Structural plasticity on an accelerated analog neuromorphic hardware system. - Sebastian Billaudelle; Benjamin Cramer; Mihai A. Petrovici; Korbinian Schreiber; David Kappel; Johannes Schemmel; Karlheinz Meier (Neural Networks, 2021)

Quantum many-body states: A novel neuromorphic application. - Andreas Baumbach; Robert Klassert; Stefanie Czischek; Martin Gärttner; Mihai A. Petrovici (NICE, 2022)

The Yin-Yang dataset. - Laura Kriener; Julian Göltz; Mihai A. Petrovici (NICE, 2022)

DELAUNAY: a dataset of abstract art for psychophysical and machine learning research. - Camille Gontier; Jakob Jordan; Mihai A. Petrovici (CoRR, 2022)

Cortical oscillations support sampling-based computations in spiking neural networks. - 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 (PLoS Comput. Biol., 2022)

Learning Efficient Backprojections Across Cortical Hierarchies in Real Time. - Kevin Max; Laura Kriener; Garibaldi Pineda García; Thomas Nowotny; Walter Senn; Mihai A. Petrovici (ICANN (1), 2023)

NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking. - 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; et al. (CoRR, 2023)

Learning beyond sensations: how dreams organize neuronal representations. - Nicolas Deperrois; Mihai A. Petrovici; Walter Senn; Jakob Jordan (CoRR, 2023)

Gradient-based methods for spiking physical systems. - Julian Göltz; Sebastian Billaudelle; Laura Kriener; Luca Blessing; Christian Pehle; Eric Müller 001; Johannes Schemmel; Mihai A. Petrovici (CoRR, 2023)

Precision estimation and second-order prediction errors in cortical circuits. - Arno Granier; Mihai A. Petrovici; Walter Senn; Katharina A. Wilmes (CoRR, 2023)

Emulating insect brains for neuromorphic navigation. - Korbinian Schreiber; Timo Wunderlich; Philipp Spilger; Sebastian Billaudelle; Benjamin Cramer; Yannik Stradmann; Christian Pehle; Eric Müller 001; Mihai A. Petrovici; Johannes Schemmel; Karlheinz Meier (CoRR, 2024)

Order from chaos: Interplay of development and learning in recurrent networks of structured neurons. - Laura Kriener; Kristin Völk; Ben von Hünerbein; Federico Benitez; Walter Senn; Mihai A. Petrovici (CoRR, 2024)

Backpropagation through space, time, and the brain. - Benjamin Ellenberger; Paul Haider; Jakob Jordan; Kevin Max; Ismael Jaras; Laura Kriener; Federico Benitez; Mihai A. Petrovici (CoRR, 2024)

Lu.i - A low-cost electronic neuron for education and outreach. - Yannik Stradmann; Julian Göltz; Mihai A. Petrovici; Johannes Schemmel; Sebastian Billaudelle (CoRR, 2024)

DelGrad: Exact gradients in spiking networks for learning transmission delays and weights. - Julian Göltz; Jimmy Weber; Laura Kriener; Peter Lake; Melika Payvand; Mihai A. Petrovici (CoRR, 2024)

Learning efficient backprojections across cortical hierarchies in real time. - Kevin Max; Laura Kriener; Garibaldi Pineda García; Thomas Nowotny; Ismael Jaras; Walter Senn; Mihai A. Petrovici (Nat. Mac. Intell., 2024)

Conductance-based dendrites perform Bayes-optimal cue integration. - Jakob Jordan; João Sacramento; Willem A. M. Wybo; Mihai A. Petrovici; Walter Senn (PLoS Comput. Biol., 2024)

A method for the ethical analysis of brain-inspired AI. - Michele Farisco; Gianluca Baldassarre; Emilio Cartoni; Antonia Leach; Mihai A. Petrovici; Achim Rosemann; Arleen Salles; Bernd Stahl; Sacha J. van Albada (Artif. Intell. Rev., 2024)

Weight transport through spike timing for robust local gradients. - Timo Gierlich; Andreas Baumbach; Ákos F. Kungl; Kevin Max; Mihai A. Petrovici (CoRR, 2025)

Building functional and mechanistic models of cortical computation based on canonical cell type connectivity. - Arno Granier; Katharina A. Wilmes; Mihai A. Petrovici; Walter Senn (CoRR, 2025)