Feb Department of Physiology

Conference Contributions

2022

Learning cortical representations through perturbed and adversarial dreaming - Poster
Nicolas Deperrois, Mihai A. Petrovici, Walter Senn, Jakob Jordan
From Cortical Microcircuits to Consciousness Symposium - Paris - 2022, Apr 13

Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons - Poster
Paul Haider, Benjamin Ellenberger, Laura Kriener, Jakob Jordan, Walter Senn, Mihai A. Petrovici
From Neuroscience to Artificially Intelligent Systems (NAISys) - Cold Spring Harbor -
2022, Apr 6

Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons - Talk -> Recording
Paul Haider, Benjamin Ellenberger, Laura Kriener, Jakob Jordan, Walter Senn, Mihai A. Petrovici
Neuro-Inspired Computational Elements Workshop (NICE) - online - 2022, Apr 1

The Yin-Yang Dataset - Talk
Laura Kriener, Julian Göltz, Walter Senn, Mihai A. Petrovici
Neuro-Inspired Computational Elements Workshop (NICE) - online - 2022, Mar 31

Quantum many-body states: A novel neuromorphic application - Talk -> Recording
Andreas Baumbach, Robert Klassert, Stefanie Czischek, Martin Gärttner, Mihai A. Petrovici
Neuro-Inspired Computational Elements Workshop (NICE) - online - 2022, Mar 29

Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons - Poster
Paul Haider, Benjamin Ellenberger, Laura Kriener, Jakob Jordan, Walter Senn, Mihai A. Petrovici
Cosyne - Lisbon - 2022, Mar 17

Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons - Talk
Paul Haider, Benjamin Ellenberger, Laura Kriener, Jakob Jordan, Walter Senn, Mihai A. Petrovici
Swiss Computational Neuroscience Retreat 2022 - Crans-Montana - 2022, Mar 4

Cortical representation learning & Bayes-optimal cue integration - Talk
Jakob Jordan, João Sacramento, Willem A.M. Wybo, Mihai A. Petrovici & Walter Senn
Swiss Computational Neuroscience Retreat 2022 - Crans-Montana - 2022, Mar 3

Computing with Biologically Inspired Dynamics - Talk
Andreas Baumbach and Mihai A. Petrovici
SIAM Conference on Parallel Processing for Scientific Computing - Online - 2022, Feb 26

Evolving Neuronal Plasticity Rules using Cartesian Genetic Programming - Poster
Henrik D. Mettler, Maximilian Schmidt, Walter Senn, Mihai A. Petrovici, Jakob Jordan
6th HBP Student Conference on Interdisciplinary Brain Research - Online - 2022, Feb 24

Towards fully embedded biologically inspired deep learning on neuromorphic hardware -
Poster
Ben von Hünerbein, Ismael Jaras, Laura Kriener, Jakob Jordan, Walter Senn, Mihai A. Petrovici
6th HBP Student Conference on Interdisciplinary Brain Research - Online - 2022, Feb 23

Learning to Generate Cortical Activity from iEEG Through a Recurrent Neural Networks of Nonlinear Spectro-temporal Receptive Fields - Talk
Benjamin Ellenberger, Mihai A. Petrovici, Walter Senn
UniBe GCB Symposium 2022 - Online - 2022, Jan 27

Model Of Valence Mediated Attention In The Sensory Cortex - Poster
Matthias Tsai, Mihai A. Petrovici, Walter Senn
UniBe GCB Symposium 2022 - Online - 2022, Jan 27

The Yin-Yang Dataset - Poster
Laura Kriener, Julian Göltz, Walter Senn, Mihai A. Petrovici
UniBe GCB Symposium 2022 - Online - 2022, Jan 27

Latent Equilibrium: Arbitrarily Fast Computation With Arbitrarily Slow Neurons - Poster
Paul Haider, Benjamin Ellenberger, Laura Kriener, Jakob Jordan, Walter Senn, Mihai A. Petrovici
UniBe GCB Symposium 2022 - Online - 2022, Jan 27

Evolving Neuronal Plasticity Rules using Cartesian Genetic Programming - Poster
Henrik Mettler, Maximilian Schmidt, Walter Senn, Mihai Petrovici, Jakob Jordan
UniBe GCB Symposium 2022 - Online - 2022, Jan 27

Cortical Representation Learning Via Perturbed and Adversarial Dreaming - Poster
Nicolas Deperrois, Walter Senn, Mihai A. Petrovici, Jakob Jordan
UniBe GCB Symposium 2022 - Online - 2022, Jan 27

2021

Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons - Selected talk - Poster
Paul Haider, Benjamin Ellenberger, Laura Kriener, Jakob Jordan, Walter Senn, Mihai A. Petrovici
Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS)
Online - 2021, Dec 7

Function from structure in neuronal networks - Talk
Mihai A. Petrovici
STRUCTURES Jour Fixe - Heidelberg - 2021, Nov 19

Learning Bayes-optimal dendritic opinion pooling - Talk
Jakob Jordan, João Sacramento, Willem A.M. Wybo, Mihai A. Petrovici & Walter Senn
ACAIN - 1st International Advanced Course & Symposium on Artificial Intelligence & Neuroscience - 2021, Oct 6

Cortical oscillations support sampling-based computations in spiking neural network - Talk
Agnes Korcsak-Gorzo, Michael G. Müller, Andreas Baumbach, Leng Luziwei, Oliver J. Breitwieser, Sacha J. van Albada, Walter Senn, Karlheinz Meier, Robert Legenstein & Mihai A. Petrovici
ACAIN - 1st International Advanced Course & Symposium on Artificial Intelligence & Neuroscience - 2021, Oct 6

Fast and energy-efficient neuromorphic deep learning with first-spike times - Talk
Julian Göltz, Laura Kriener, Andreas Baumbach, Sebastian Billaudelle, Oliver Breitwieser, Benjamin Cramer, Dominik Dold, Akos F. Kungl, Walter Senn, Johannes Schemmel, Karlheinz Meier & Mihai A. Petrovici
ACAIN - 1st International Advanced Course & Symposium on Artificial Intelligence & Neuroscience - 2021, Oct 7

Evolving to Learn: Automating the search for interpretable, biologically plausible synaptic plasticity rules - Talk
Henrik D. Mettler, Maximilian Schmidt, Walter Senn, Mihai A. Petrovici & Jakob Jordan
ACAIN - 1st International Advanced Course & Symposium on Artificial Intelligence & Neuroscience - 2021, Oct 7

Creative memory semantization through adversarial dreaming - Poster
Nicolas Deperrois, Mihai A. Petrovici, Walter Senn, Jakob Jordan
Bernstein Conference - Online - 2021, Sep 22

Aspects of cortical computation - Talk
Mihai Petrovici
MESEC - MEditerranean SEminar For Consciousness - Online - 2021, Sep 9

Evolving Neuronal Plasticity Rules using Cartesian Genetic Programming - Poster
Henrik Mettler, Maximilian Schmidt, Walter Senn, Mihai Petrovici, Jakob Jordan
GECCO 2021 - The Genetic and Evolutionary Computation Conference - Online - 2021, Jul 12

Cortical oscillations support sampling-based computations in spiking neural networks -
selected Talk -> Recording
Andreas Baumbach , Agnes Korcsak-Gorzo , Michael G. Müller , Luziwei Leng , Oliver Julien Breitwieser , Sacha van Albada , Walter Senn , Karlheinz Meier , Robert Legenstein , Mihai A. Petrovici
CNS*2021 - Computational Neuroscience Meeting - Online - 2021, Jul 4

Fast and deep: energy-efficient neuromorphic learning with first-spike times - Talk
Julian Göltz, Walter Senn, Mihai A. Petrovici
NeuroFrance 2021 Satellite Workshop "Neuroscience and Artificial Intelligence"
Online - 2021, May 18

Fast and deep: energy-efficient neuromorphic learning with first-spike times - Talk
-> Recording
Laura Kriener, Mihai A. Petrovici, Walter Senn
NEUROTECH Education Programme: day 6 - Online - 2021, Apr 13

Natural gradient learning for spiking neurons - Talk
-> Recording
Elena Kreutzer, Mihai A. Petrovici, Walter Senn
Neuro-Inspired Computational Elements Workshop (NICE) - Online - 2021, Mar 16 - 19

Conductance-based dendrites perform reliability-weighted opinion pooling - Talk
-> Recording
Jakob Jordan, Mihai A. Petrovici, Walter Senn, João Sacramento
Neuro-Inspired Computational Elements Workshop (NICE) - Online - 2021, Mar 16 - 19

Fast and deep neuromorphic learning with first-spike coding - Talk
-> Recording
J. Göltz, A. Baumbach, S. Billaudelle, O. Breitwieser, L. Kriener, A. F. Kungl, K. Meier, J. Schemmel, M. A. Petrovici
Neuro-Inspired Computational Elements Workshop (NICE) - Online - 2021, Mar 16 - 19

Closed-loop experiments on the BrainScaleS-2 architecture - Talk
-> Recording
K. Schreiber, T. C. Wunderlich, C. Pehle, M. A. Petrovici, J. Schemmel, K. Meier
Neuro-Inspired Computational Elements Workshop (NICE) - Online - 2021, Mar 16 - 19

Deep reinforcement learning for time-continuous substrates - Poster
Akos F. Kungl*, Dominik Dold*, Oskar Riedler, Mihai A. Petrovici, Walter Senn
Neuro-Inspired Computational Elements Workshop (NICE) - Online - 2021, Mar 16 - 19

Structural plasticity on spiking neuromorphic hardware - Poster
Sebastian Billaudelle, Benjamin Cramer, Mihai A. Petrovici, Johannes Schemmel
Neuro-Inspired Computational Elements Workshop (NICE) - Online - 2021, Mar 16 - 19

Creative memory semantization through adversarial dreaming - Poster
Nicolas Deperrois, Jakob Jordan, Mihai Petrovici, Walter Senn
Computational and Systems Neuroscience (Cosyne) - Online - 2021, Feb 24 - 26

Learning dendritic opinion weighting by cortical neurons - Poster
Jakob Jordan, João Sacramento, Mihai Petrovici, Walter Senn
Computational and Systems Neuroscience (Cosyne) - Online - 2021, Feb 24 - 26

Evolving to learn: discovering interpretable plasticity rules for spiking networks - Poster
Jakob Jordan, Maximilian Schmidt, Walter Senn, Mihai Petrovici
Computational and Systems Neuroscience (Cosyne) - Online - 2021, Feb 24 - 26

A functional role of cortical oscillations for probabilistic computation in spiking neural networks - Poster
Michael G. Muller, Agnes Korcsak-Gorzo, Walter Senn, Luziwei Leng, Andreas Baumbach, Oliver J. Breitwieser, Sacha J. van Albada, Karlheinz Meier, Robert Legenstein, Mihai Petrovici
Computational and Systems Neuroscience (Cosyne) - Online - 2021, Feb 24 - 26

Lava Implementation of Biologically Plausible Deep Learning with Structured Neurons - Talk
Laura Kriener, Jakob Jordan, Walter Senn, Mihai Petrovici
Intel Neuromorphic Research Community (INRC) Workshop - Online - 2021, Feb 5

A homeostatic mechanism for plasticity in heterogeneous spiking networks - Poster
Timo Gierlich, Andreas Baumbach, Akos F. Kungl, Mihai A. Petrovici
5th HBP Student Conference - Online - 2021, Feb 1 - 4

Fast And Deep: Energy-Efficient Neuromorphic Learning With First-Spike Times - Poster
Laura Kriener, Jakob Jordan, Walter Senn, Mihai Petrovici
UniBe GCB Symposium 2021 - Online - 2021, Jan 28

Creative Memory Semantization Through Adversarial and Non-adversarial Dreaming - Poster
Nicolas Deperrois, Walter Senn, Mihai Petrovici, Jakob Jordan
UniBe GCB Symposium 2021 - Online - 2021, Jan 28

Reverse-engineering The Connectome From IEEG To Reveal Synaptic Homeostasis In Sleep - Poster
Benjamin Ellenberger, Mihai Petrovici, Walter Senn
UniBe GCB Symposium 2021 - Online - 2021, Jan 28

Multi-functional Neural Networks and Bias Adaptation - Poster
Matthias Tsai, Mihai Petrovici, Walter Senn
UniBe GCB Symposium 2021 - Online - 2021, Jan 28

2020

Conductance-based dendrites perform reliability-weighted opinion pooling - Poster
Jakob Jordan, Mihai A. Petrovici, Walter Senn, João Sacramento
From Neuroscience to Artificially Intelligent Systems (NAISys) - Online - 2020, Nov 9-12

Fast and deep neuromorphic learning with first-spike coding - Poster
J. Göltz, A. Baumbach, S. Billaudelle, O. Breitwieser, L. Kriener, A. F. Kungl, K. Meier, J. Schemmel, M. A. Petrovici
From Neuroscience to Artificially Intelligent Systems (NAISys) 2020 - Online - 2020, Nov 9-12

Live Demonstration: Versatile Emulation of Spiking Neural Networks on an Accelerated Neuromorphic Substrate - Talk
S. Billaudelle, Y. Stradmann, K. Schreiber, B. Cramer, A. Baumbach, D. Dold, J. Goltz, A. F. Kungl, T. C. Wunderlich, A. Hartel, E. Muller, O. Breitwieser, C. Mauch, M. Kleider, A. Grubl, D. Stockel, C. Pehle, A. Heimbrecht, P. Spilger, V. Karasenko, W. Senn, M. A. Petrovici, J. Schemmel and K. Meier
IEEE International Symposium on Circuits and Systems (ISCAS) - Online - 2020, Oct 12-14

Self-sustained probabilistic computing on spike-based neuromorphic systems - Poster
-> Recording
Akos F. Kungl, Dominik Dold, Andreas Baumbach, Oliver Breitwieser, Ilja Bytschok, Andreas Grübl, Nico Gürtler, Maurice Güttler, Andreas Hartel, Dan Husmann, Kai Husmann, Vitali Karasenko, Johann Klähn, Mitja Kleider, Christoph Koke, Alexander Kugele, Luziwei Leng, Christian Mauch, Eric Müller, Paul Müller, Sebastian Schmitt, Karlheinz Meier, Johannes Schemmel, Walter Senn and Mihai A. Petrovici
Bernstein Conference - Online - 2020, Sept 29 - Oct 1

Evolving to learn: discovering interpretable plasticity rules for spiking networks - Poster
Jakob Jordan, Maximilian Schmidt, Walter Senn, and Mihai A. Petrovici
Bernstein Conference - Online - 2020, Sept 29 - Oct 1

Fast and deep neuromorphic learning with time-to-first-spike coding Talk
Julian Göltz, Laura Kriener, Andreas Baumbach, Sebastian Billaudelle, Oliver Breitwieser, Benjamin Cramer, Dominik Dold, Akos F. Kungl, Walter Senn, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici
Spiking Neural networks as Universal Function Approximators Workshop (SNUFA) - Online - 2020, Sep 1

Designing for Machine Intelligence: To Brain or Not to Brain?
Mihai A. Petrovici - Invited panellist at a conference
57th Design Automation Conference - Online - 2020, Jun 24

Natural gradient learning for spiking neurons
Elena Kreutzer, Mihai A. Petrovici, Walter Senn
Computational and Systems Neuroscience (Cosyne) - Denver & Breckenridge - 2020, Feb 27 - Mar 1

Fast and deep neuromorphic learning with first-spike coding - Poster
J. Göltz, A. Baumbach, S. Billaudelle, O. Breitwieser, L. Kriener, A. F. Kungl, K. Meier, J. Schemmel, M. A. Petrovici
Computational and Systems Neuroscience (Cosyne) - Denver/Breckenridge - 2020, Feb 27-Mar 1

2019

Do androids dream of electric sheep? From biological to artificial intelligence and back again
- Talk
Mihai A. Petrovici
International Center for Research and Education in Innovative and Creative Technologies (CINETic) - Bucharest - 2019, Dec 13

Computing with physics: aspects of bio-inspired artificial intelligence - Talk
Mihai A. Petrovici
Forschungszentrum Jülich - Jülich - 2019, Nov 19

An energy-based model of folded autoencoders for unsupervised learning in cortical hierarchies - Poster
Dominik Dold, João Sacramento, Akos F. Kungl, Walter Senn and Mihai A. Petrovici
Bernstein Conference - Berlin - 2019, Sep 17-20

Deep reinforcement learning in a time-continuous model - Poster
Dominik Dold, João Sacramento, Akos F. Kungl, Walter Senn and Mihai A. Petrovici
Bernstein Conference - Berlin - 2019, Sep 17-20

Magnetic phenomena in ensembles of spiking neurons - Poster
Andreas Baumbach, Johannes Schemmel, Mihai A. Petrovici
Bernstein Conference - Berlin - 2019, Sep 17-20

Computing with physics: From biological to artificial intelligence and back again - Talk
Mihai A. Petrovici
Event-based Asynchronous Neuro-Cognitive Control (EANCC) workshop - Amsterdam - 2019, Aug 26

Biological solutions to the mixing problem - Poster (best Poster award)
Luziwei Leng, Agnes Korcsák-Gorzó, Oliver Breitwieser, Roman Martel, Ilja Bytschok, Walter Senn, Johannes Bill, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici
IRCN Neuro-inspired Computation Course - Tokyo - 2019, March 24

Brain-Inspired Hardware for Artificial Intelligence: Accelerated Learning in a Physical-Model Spiking Neural Network - arXiv - Poster
Timo Wunderlich, Akos F. Kungl, Eric Müller, Johannes Schemmel, Mihai A. Petrovici
International Conference on Artificial Neural Networks and Machine Learning (ICANN) - Munich - 2019, Sep 2019

Träumen Androiden von elektrischen Schafen - Talk
Mihai A. Petrovici
Armasuisse Textilsymposium - Bern - 2019, April 2

Lagrangian dynamics of dendritic microcircuits enables real-time backpropagation of errors - Talk & Poster -> Recording
Dominik Dold, Akos F. Kungl, João Sacramento, Mihai A. Petrovici, Kaspar Schindler, Jonathan Binas, Yoshua Bengio, Walter Senn
Cosyne - Lisbon & Cascais - 2019, Feb 28

Error-driven learning supports Bayes-optimal multisensory integration via conductance-based dendrites - Poster
Jakob Jordan, João Sacramento, Mihai A Petrovici, Walter Senn
Cosyne - Lisbon & Cascais - 2019, Mar 1

2018

Magnetic Phenomena in Spiking Neural Networks - Poster
A. Baumbach, A. F. Kungl, M. A. Petrovici, J. Schemmel, K. Meier
Fruehjahrstagung der DPG - Berlin - 2018, Mar 15

Neuromorphic Computing: The physics of cognition - Talk
Mihai A. Petrovici
DutchBrain: National outreach event of the Human Brain Project - Amsterdam - 2018, Mar 2

2017

Träumen Androiden von elektrischen Schafen - Talk
Mihai A. Petrovici
NOVO Innovation Day - Bern - 2017

Bayesian computing with spikes - Poster
Andreas Baumbach, Mihai A. Petrovici, Luziwei Leng, Oliver J. Breitwieser, David Stoeckel, Ilja Bytschok, Johannes Schemmel, Karlheinz Meier
1st Human Brain Project Student Conference - Vienna - 2017, Sept 9

Neural networks in silico: Physical implementation, architecture and applications
- invited lecture
Mihai A. Petrovici
1st Human Brain Project Student Conference - Vienna - 2017, Sept 9

Principles of brain computation; Theory tutorial - invited lecture
Mihai A. Petrovici
Fourth Human Brain Project Summer School: Future computing - brain science
and artificial intelligence - Obergurgl - 2017, June 13

Simulated Tempering in Biologically Inspired Neural Networks - Poster
Agnes Korcsak-Gorzo, Luziwei Leng, Oliver Julien Breitwieser, Johannes Schemmel, Karlheinz Meier, Mihai Alexandru Petrovici
Deutsche Physikerinnentagung - Ilmenau, 2017

Stochastic computation on spiking neuromorphic hardware - Poster
Dominik Dold, Ákos F. Kungl, Andreas Baumbach, Johann Klähn, Ilja Bytschok, Paul Müller, Oliver Breitwieser, Andreas Grübl, Maurice Güttler, Dan Husmann, Mitja Kleider, Christoph Koke, Alexander Kugele, Christian Mauch, Eric Müller, Sebastian Schmitt, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici
Bernstein Conference - Göttingen, 2017

Spike-based probabilistic inference with correlated noise - Poster
Ilja Bytschok*, Dominik Dold*, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici*
CNS*2017 - Computational Neuroscience Meeting - Antwerp, 2017

2016

Stochastic inference with spiking neural networks - Poster
Mihai A. Petrovici*, Luziwei Leng*, Oliver Breitwieser*, David Stöckel*, Ilja Bytschok, Roman Martel, Johannes Bill, Johannes Schemmel, Karlheinz Meier
CNS*2016 - Computational Neuroscience Meeting - Jeju, 2017

Spiking neural networks as superior generative and discriminative models - Poster
Luziwei Leng*, Mihai A. Petrovici*, Roman Martel, Ilja Bytschok, Oliver Breitwieser, Johannes Bill, Johannes Schemmel, Karlheinz Meier
Cosyne - Salt Lake City & Snowbird, 2016

2015

Fast sampling with neuromorphic hardware - Poster
Mihai A. Petrovici*, David Stöckel*, Ilja Bytschok, Johannes Bill, Thomas Pfeil, Johannes Schemmel, Karlheinz Meier
Demonstration, Advances in Neural Information Processing Systems (NIPS) 28, (2015)

The high-conductance state enables neural sampling in networks of LIF neurons - Talk
-> Long Abstract on arXiv
Mihai A. Petrovici, Ilja Bytschok, Johannes Bill, Johannes Schemmel and Karlheinz Meier
CNS*2015 - Computational Neuroscience Meeting - Prague, 2015

Deterministic neural networks as sources of uncorrelated noise for probabilistic computations - Poster
Jakob Jordan, Tom Tetzlaff, Mihai Petrovici, Oliver Breitwieser, Ilja Bytschok, Johannes Bill, Johannes Schemmel, Karlheinz Meier and Markus Diesmann
CNS*2015 - Computational Neuroscience Meeting - Prague, 2015

2014

Neural networks in silico: Physical implementation, architecture and applications - Lecture
Mihai A. Petrovici
First Human Brain Project School - Alpbach, 2014

Neurons, Networks and the Brain - Lecture
Mihai A. Petrovici
7th HGSFP Winterschool - Obergurgl - 2014, Jan 18-22

2012

Neuromorphe Hardware: Das Gehirn auf einem Chip - Talk
Mihai A. Petrovici
Gesprächskreis Rhein-Neckar Universität Heidelberg - Mannheim - 2012, Jan 26