Computational Neuroscience Group

Conferences

H.D. Mettler, M. Schmidt, W. Senn, M.A. Petrovici, J. Jordan.
6th HBP Student Conference on Interdisciplinary Brain Research: Evolving Neuronal Plasticity Rules using Cartesian Genetic Programming (Poster). 2022

B. von Hünerbein, I. Jaras, L. Kriener, J. Jordan, W. Senn, M.A. Petrovici.
6th HBP Student Conference on Interdisciplinary Brain Research: Towards fully embedded biologically inspired deep learning on neuromorphic hardware (Poster). 2022

M. Tsai, W. Wybo, B. Illing, J. Jordan, A. Morrison, W. Senn.
COSYNE 2022: Biological multi-task learning with top-down signals (Poster). 2022

P. Haider, B. Ellenberger, L. Kriener, J. Jordan, W. Senn, M.A. Petrovici.
COSYNE 2022: Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons (Poster). 2022

K.A. Wilmes, C. Raltschev, S. Kasavica, S. Sachidhanandam & W. Senn.
COSYNE 2022: Uncertainty-weighted prediction errors (UPEs) in cortical microcircuits (Poster). 2022

W. Senn.
From Cortical Microcircuits to Consciousness Symposium: Creative sleep, adversarial dreams, and the need of awareness (Talk). 2022

N. Deperrois, M.A. Petrovici, W. Senn, J. Jordan.
From Cortical Microcircuits to Consciousness Symposium: Learning cortical representations through perturbed and adversarial dreaming (Poster). 2022

A. Granier, W. Senn, K.A. Wilmes.
From Cortical Microcircuits to Consciousness Symposium: The geometry of precision in predictive coding (Poster). 2022

N. Deperrois, W. Senn, M.A. Petrovici, J. Jordan.
GCB Symposium 2022: Cortical Representation Learning Via Perturbed and Adversarial Dreaming (Poster). 2022

H.D. Mettler, M. Schmidt, W. Senn, M.A. Petrovici, J. Jordan.
GCB Symposium 2022: Evolving Neuronal Plasticity Rules using Cartesian Genetic Programming (Poster). 2022

P. Haider, B. Ellenberger, L. Kriener, J. Jordan, W. Senn, M.A. Petrovici.
GCB Symposium 2022: Latent Equilibrium: Arbitrarily Fast Computation With Arbitrarily Slow Neurons (Poster). 2022

B. Ellenberger, M.A. Petrovici, W. Senn.
GCB Symposium 2022: Learning to Generate Cortical Activity from iEEG Through a Recurrent Neural Networks of Nonlinear Spectro-temporal Receptive Fields (Talk). 2022

M. Tsai, M.A. Petrovici, W. Senn.
GCB Symposium 2022: Model Of Valence Mediated Attention In The Sensory Cortex (Poster). 2022

L. Kriener, J. Göltz, W. Senn, M. A. Petrovici.
GCB Symposium 2022: The Yin-Yang Dataset (Poster). 2022

P. Haider, B. Ellenberger, L. Kriener, J. Jordan, W. Senn, M.A. Petrovici.
NICE '22 Conference & Workshop: Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons (Talk). 2022

Recording

L. Kriener, J. Göltz, W. Senn, M.A. Petrovici.
NICE '22 Conference & Workshop: The Yin-Yang Dataset (Talk). 2022

J. Jordan, J. Sacramento, W.A.M. Wybo, M.A. Petrovici & W. Senn.
Swiss Computational Neuroscience Retreat: Cortical representation learning & Bayes-optimal cue integration (Talk). 2022

P. Haider, B. Ellenberger, L. Kriener, J. Jordan, W. Senn, M.A. Petrovici.
Swiss Computational Neuroscience Retreat: Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons (Talk). 2022

A. Korcsak-Gorzo, M.G. Müller, A. Baumbach, L. Leng, O.J. Breitwieser, S.J. van Albada, W. Senn, K. Meier, R. Legenstein, M. A. Petrovici..
ACAIN 2021 - Advanced Course & Symposium on Artificial Intelligence & Neuroscience: Cortical oscillations support sampling-based computations in spiking neural network (Talk). 2021

H.D. Mettler, M. Schmidt, W. Senn, M.A. Petrovici & J. Jordan.
ACAIN 2021 - Advanced Course & Symposium on Artificial Intelligence & Neuroscience: Evolving to Learn: Automating the search for interpretable, biologically plausible synaptic plasticity rules (Talk). 2021

J. Göltz, L. Kriener, A. Baumbach, S. Billaudelle, O. Breitwieser, B. Cramer, D. Dold, A.F. Kungl, W. Senn, J. Schemmel, K. Meier & M.A. Petrovici.
ACAIN 2021 - Advanced Course & Symposium on Artificial Intelligence & Neuroscience: Fast and energy-efficient neuromorphic deep learning with first-spike times (Talk). 2021

J. Jordan, J. Sacramento, W.A.M. Wybo, M.A. Petrovici & W. Senn.
ACAIN 2021 - Advanced Course & Symposium on Artificial Intelligence & Neuroscience: Learning Bayes-optimal dendritic opinion pooling (Talk). 2021

K.A. Wilmes, C. Raltschev, S. Kasavica, S. Sachidhanandam & W. Senn.
ACAIN 2021 - Advanced Course & Symposium on Artificial Intelligence & Neuroscience: Learning to predict in uncertainty (Talk). 2021

W. Senn.
Bernstein Center Freiburg Seminar: Is there a Newtonian law for neurons and synapses? - A least action principle for neurobiology (Talk). 2021

N. Deperrois, M.A. Petrovici, W. Senn, and J. Jordan.
Bernstein Conference 2021: Creative memory semantization through adversarial dreaming (Poster). 2021 DOI pdf

A. Baumbach, A. Korcsak-Gorzo, M.G. Müller, A. Baumbach, L. Leng, O.J. Breitwieser, S.J. van Albada, W. Senn, K. Meier, R. Legenstein, M. A. Petrovici.
CNS*2021 - Computational Neuroscience Meeting: Cortical oscillations support sampling-based computations in spiking neural networks (Talk). 2021

Recording

M.G. Muller, A. Korcsak-Gorzo, W. Senn, L. Leng, A. Baumbach, O. J. Breitwieser, S. J. van Albada, K. Meier, R. Legenstein, M. A. Petrovici.
Cosyne 2021: A functional role of cortical oscillations for probabilistic computation in spiking neural networks (Poster). 2021 pdf

N. Deperrois, J. Jordan, M.A. Petrovici, W. Senn.
Cosyne 2021: Creative memory semantization through adversarial dreaming (Poster). 2021 pdf

J. Jordan, M. Schmidt, W. Senn, M. A. Petrovici.
Cosyne 2021: Evolving to learn: discovering interpretable plasticity rules for spiking networks (Poster). 2021 pdf

J. Jordan, J. Sacramento, M. A. Petrovici, W. Senn.
Cosyne 2021: Learning dendritic opinion weighting by cortical neurons (Poster). 2021 pdf

W. Senn.
CRS2021 - Champalimaud Research Symposium: Least action principle and error-based learning in the brain (Talk). 2021

N. Deperrois, W. Senn, M.A. Petrovici, J. Jordan.
GCB Symposium 2021: Creative Memory Semantization Through Adversarial and Non-adversarial Dreaming (Poster). 2021

L. Kriener, J. Jordan, W. Senn, M.A. Petrovici.
GCB Symposium 2021: Fast And Deep: Energy-Efficient Neuromorphic Learning With First-Spike Times (Poster). 2021

M. Tsai, M.A. Petrovici, W. Senn.
GCB Symposium 2021: Multi-functional Neural Networks and Bias Adaptation (Poster). 2021

B. Ellenberger, M.A. Petrovici, W. Senn.
GCB Symposium 2021: Reverse-engineering The Connectome From IEEG To Reveal Synaptic Homeostasis In Sleep (Poster). 2021

H.D. Mettler, M. Schmidt, W. Senn, M.A. Petrovici, J. Jordan.
GECCO 2021 - The Genetic and Evolutionary Computation Conference: Evolving Neuronal Plasticity Rules using Cartesian Genetic Programming (Poster). 2021 DOI pdf

L. Kriener, J. Jordan, W. Senn, M.A. Petrovici.
Intel Neuromorphic Research Community (INRC) Workshop: Lava Implementation of Biologically Plausible Deep Learning with Structured Neurons (Talk). 2021

W. Senn.
Mushroom Body Meeting: Error- or target-driven synaptic plasticity? A model of predictive learning in the mushroom body (Talk). 2021

J. Göltz, W. Senn, M.A. Petrovici.
NeuroFrance 2021 Satellite Workshop: Fast and deep: energy-efficient neuromorphic learning with first-spike times (Talk). 2021 pdf

W. Senn.
NeuroFrance 2021: An EBRAINS application: Learning a functional (iEEG) connectome (Talk). 2021

Abstract

L. Kriener, M.A. Petrovici, W. Senn.
NEUROTECH Education Programme (day 6) (talk): Fast and deep: energy-efficient neuromorphic learning with first-spike times (Talk). 2021

Recording

E. Kreutzer, M. A. Petrovici, W. Senn.
NICE '20: Proceedings of the Neuro-inspired Computational Elements Workshop (talk): Natural gradient learning for spiking neurons (Talk). 2021 DOI pdf

Recording

J. Jordan, M. A. Petrovici, W. Senn, J. Sacramento.
NICE '20: Proceedings of the Neuro-inspired Computational Elements Workshop: Conductance-based dendrites perform reliability-weighted opinion pooling (Talk). 2021 DOI pdf

Recording

W. Senn.
NICE '20: Proceedings of the Neuro-inspired Computational Elements Workshop: Lessons from neurobiology and physics: pseudobackprop & more (Talk). 2021 pdf

P. Haider, B. Ellenberger, L. Kriener, J. Jordan, W. Senn, M.A. Petrovici.
Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS): Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons (Talk). 2021

NeurIPS

J. Jordan, M. Schmidt, W. Senn, M.A. Petrovici.
Bernstein Conference 2020: Evolving to learn: discovering interpretable plasticity rules for spiking networks (Poster). 2020 DOI pdf

A.F. Kungl, Dominik Dold, A. Baumbach, O. Breitwieser, I. Bytschok, A. Grübl, N. Gürtler, M. Güttler, A. Hartel, D. Husmann, K. Husmann, V. Karasenko, J. Klähn, M. Kleider, C. Koke, A. Kugele, L. Leng, C. Mauch, E. Müller, P. Müller, S. Schmitt, K. Meier, J. Schemmel, W. Senn and M.A. Petrovici.
Bernstein Conference 2020: Self-sustained probabilistic computing on spike-based neuromorphic systems (Poster). 2020 DOI pdf

Recording

E. Kreutzer, M.A. Petrovici, W. Senn.
Cosyne 2020: Natural gradient learning for spiking neurons (Poster). 2020

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): Live Demonstration: Versatile Emulation of Spiking Neural Networks on an Accelerated Neuromorphic Substrate. 2020 DOI

Recording

J. Jordan, M.A. Petrovici, W. Senn, J. Sacramento.
NAISys 2020: Conductance-based dendrites perform reliability-weighted opinion pooling (Poster). 2020

D. Dold, J. Sacramento, A.F. Kungl, W. Senn and M.A. Petrovici.
Bernstein Conference 2019: An energy-based model of folded autoencoders for unsupervised learning in cortical hierarchies. 2019 DOI pdf

Poster

A.F. Kungl, D. Dold, O. Riedler, M.A. Petrovici, W. Senn.
Bernstein Conference 2019: Deep reinforcement learning in a time-continuous model. 2019 DOI pdf

Poster

J. Jordan, J. Sacramento, M.A. Petrovici, W. Senn.
Cosyne 2019: Error-driven learning supports Bayes-optimal multisensory integration via conductance-based dendrites (Poster). 2019 pdf

D. Dold, A.F. Kungl, J. Sacramento, M.A. Petrovici, K. Schindler, J. Binas, Y. Bengio, W. Senn.
Cosyne 2019: Lagrangian dynamics of dendritic microcircuits enables real-time backpropagation of errors (Talk). 2019

Recording

Luziwei Leng, A. Korcsák-Gorzó, O. Breitwieser, R. Martel, I. Bytschok, W. Senn, J. Bill, J. Schemmel, K. Meier, M.A. Petrovici.
IRCN Workshop: Biological solutions to the mixing problem (best poster award). 2019