# 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). 2022B. 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). 2022M. Tsai, W. Wybo, B. Illing, J. Jordan, A. Morrison, W. Senn.

__COSYNE 2022__: Biological multi-task learning with top-down signals (Poster). 2022P. 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). 2022K.A. Wilmes, C. Raltschev, S. Kasavica, S. Sachidhanandam & W. Senn.

__COSYNE 2022__: Uncertainty-weighted prediction errors (UPEs) in cortical microcircuits (Poster). 2022W. Senn.

__From Cortical Microcircuits to Consciousness Symposium__: Creative sleep, adversarial dreams, and the need of awareness (Talk). 2022N. Deperrois, M.A. Petrovici, W. Senn, J. Jordan.

__From Cortical Microcircuits to Consciousness Symposium__: Learning cortical representations through perturbed and adversarial dreaming (Poster). 2022A. Granier, W. Senn, K.A. Wilmes.

__From Cortical Microcircuits to Consciousness Symposium__: The geometry of precision in predictive coding (Poster). 2022N. Deperrois, W. Senn, M.A. Petrovici, J. Jordan.

__GCB Symposium 2022__: Cortical Representation Learning Via Perturbed and Adversarial Dreaming (Poster). 2022H.D. Mettler, M. Schmidt, W. Senn, M.A. Petrovici, J. Jordan.

__GCB Symposium 2022__: Evolving Neuronal Plasticity Rules using Cartesian Genetic Programming (Poster). 2022P. 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). 2022B. 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). 2022M. Tsai, M.A. Petrovici, W. Senn.

__GCB Symposium 2022__: Model Of Valence Mediated Attention In The Sensory Cortex (Poster). 2022L. Kriener, J. Göltz, W. Senn, M. A. Petrovici.

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

__NICE '22 Conference & Workshop__: The Yin-Yang Dataset (Talk). 2022J. Jordan, J. Sacramento, W.A.M. Wybo, M.A. Petrovici & W. Senn.

__Swiss Computational Neuroscience Retreat__: Cortical representation learning & Bayes-optimal cue integration (Talk). 2022P. 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). 2022A. 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). 2021H.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). 2021J. 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). 2021J. 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). 2021K.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). 2021W. Senn.

__Bernstein Center Freiburg Seminar__: Is there a Newtonian law for neurons and synapses? - A least action principle for neurobiology (Talk). 2021A. 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). 2021M.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 pdfN. Deperrois, J. Jordan, M.A. Petrovici, W. Senn.

__Cosyne 2021__: Creative memory semantization through adversarial dreaming (Poster). 2021 pdfJ. Jordan, M. Schmidt, W. Senn, M. A. Petrovici.

__Cosyne 2021__: Evolving to learn: discovering interpretable plasticity rules for spiking networks (Poster). 2021 pdfJ. Jordan, J. Sacramento, M. A. Petrovici, W. Senn.

__Cosyne 2021__: Learning dendritic opinion weighting by cortical neurons (Poster). 2021 pdfW. Senn.

__CRS2021 - Champalimaud Research Symposium__: Least action principle and error-based learning in the brain (Talk). 2021N. Deperrois, W. Senn, M.A. Petrovici, J. Jordan.

__GCB Symposium 2021__: Creative Memory Semantization Through Adversarial and Non-adversarial Dreaming (Poster). 2021L. Kriener, J. Jordan, W. Senn, M.A. Petrovici.

__GCB Symposium 2021__: Fast And Deep: Energy-Efficient Neuromorphic Learning With First-Spike Times (Poster). 2021M. Tsai, M.A. Petrovici, W. Senn.

__GCB Symposium 2021__: Multi-functional Neural Networks and Bias Adaptation (Poster). 2021B. Ellenberger, M.A. Petrovici, W. Senn.

__GCB Symposium 2021__: Reverse-engineering The Connectome From IEEG To Reveal Synaptic Homeostasis In Sleep (Poster). 2021L. 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). 2021W. Senn.

__Mushroom Body Meeting__: Error- or target-driven synaptic plasticity? A model of predictive learning in the mushroom body (Talk). 2021J. Göltz, W. Senn, M.A. Petrovici.

__NeuroFrance 2021 Satellite Workshop__: Fast and deep: energy-efficient neuromorphic learning with first-spike times (Talk). 2021 pdfW. Senn.

__NeuroFrance 2021__: An EBRAINS application: Learning a functional (iEEG) connectome (Talk). 2021L. Kriener, M.A. Petrovici, W. Senn.

__NEUROTECH Education Programme (day 6)__(talk): Fast and deep: energy-efficient neuromorphic learning with first-spike times (Talk). 2021W. Senn.

__NICE '20: Proceedings of the Neuro-inspired Computational Elements Workshop__: Lessons from neurobiology and physics: pseudobackprop & more (Talk). 2021 pdfP. 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). 2021J. Jordan, M. Schmidt, W. Senn, M.A. Petrovici.

__Bernstein Conference 2020__: Evolving to learn: discovering interpretable plasticity rules for spiking networks (Poster). 2020 DOI pdfA.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 pdfE. Kreutzer, M.A. Petrovici, W. Senn.

__Cosyne 2020__: Natural gradient learning for spiking neurons (Poster). 2020S. 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 DOIJ. Jordan, M.A. Petrovici, W. Senn, J. Sacramento.

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

__Cosyne 2019__: Error-driven learning supports Bayes-optimal multisensory integration via conductance-based dendrites (Poster). 2019 pdfD. 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). 2019Luziwei 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