News Archive
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2022
New Preprint: (PAL), a bio-plausible method to learn efficient feedback weights!
![km2022arxiv](IMG/News/icons/km2022arxiv.png)
"Learning efficient backprojections across cortical hierarchies in real time" - See Publications
New Preprint! Dendritic modulation for implementing contextual adaptation.
![DenbioRxiv2022](IMG/News/icons/DenbioRxiv2022.png)
"Dendritic modulation enables multitask representation learning in hierarchical sensory processing pathways".
See Publications
Bernstein Conference - Sep. 13-16 - Info
Two talks
- Paul Haider presented «Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons». For more details, read the related article.
- Katharina Wilmes presented «Uncertainty-modulated prediction errors in cortical microcircuits».
And a poster
Manfred-Stärk-Symposium 2022 - Lavaux - Sep. 11-12
![MSS2022Collage](IMG/News/icons/MSS2022Collage.png)
Special symposium on theoretical neuroscience and neuromorphic computation dedicated to our generous benefactor Manfred Stärk and his foundation.
Nacht der Forschung 2022 - Info
We were delighted to be among the 750 researchers from the University of Bern who presented their research to tens of thousands of people.
![NdFcollage](IMG/News/icons/NdFcollage.png)
Visitors to our stand got an insight into learning in neural networks and neuromorphic engineering by experiencing the dynamics of real biological neurons using our in-house electronic neuron circuit. The public could also compete against an AI by playing the puzzle game Tic Tac Toe, also known as Noughts and Crosses.
CNS*2022 - Computational Neuroscience Meeting - July 16-20 - Info
Paul Haider
gave two presentations: one at the main conference and the other at the workshop "Bio-inspired active AI workshop:"
Sinergia Meeting at the Gurten (July 5)
The last meeting of the consortium funded by the SNSF Sinergia grant on
"Neural Processing of Distinct Prediction Errors."
![Sinergia2022](IMG/News/icons/Sinergia2022.png)
We enjoyed working with the groups of Fritjof Helmchen, Giacomo Indiveri, and Simon Sprecher in such a fruitful collaboration!
Lab Retreat in Kandersteg - June 7-10
![LabRetreat2022Collage](IMG/News/icons/LabRetreat2022Collage.png)
Four days of science, brain-storming, metaphysical debates, sports, cooking and other chocolate testing. It was a lot of FUN!!
New lab members (May)
Welcome to our new Research Assistant (Internship): Simon Brandt
,
PhD student: Lukas Huber
and Master student: Luc Lerch
New article in eLife: how natural-gradient descent enable efficient synaptic plasticity!
![Kreutzer2022](IMG/News/icons/Kreutzer2022.png)
"Natural-gradient learning for spiking neurons".
See Publication
From Cortical Microcircuits to Consciousness Symposium - Apr 11-13 - Info
- Walter Senn,
also the Scientific Chair of the symposium, presented the talk
"Creative sleep, adversarial dreams, and the need of awareness."
- Nicolas Deperrois
presented the poster "Learning cortical representations through perturbed and adversarial dreaming."
- Arno Granier presented the poster "The geometry of precision in predictive coding."
eLife Article: Learning across three different global brain states!
![NDarXivFigbig](IMG/News/icons/NDarXivFigbig.png)
"Learning cortical representations through perturbed and adversarial dreaming".
See Publication
- More on GANs
From Neuroscience to Artificially Intelligent Systems (NAISys) - Apr 5-9 - Info
- Paul Haider presented the poster "Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons."
New contribution to PCB: How cortical oscillations shape spike-based probabilistic inference in the brain!
![PCB2022](IMG/News/icons/PCB2022.png)
"Cortical oscillations support sampling-based computations in spiking neural networks" - Publication.
COSYNE Conference & Workshop - Mar 17-22 - Info
Three Posters!
- "Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons" presented by Paul Haider.
- "Biological multi-task learning with top-down signals presented by Matthias Tsai.
- "Uncertainty-weighted prediction errors (UPEs) in cortical microcircuits" presented by Katharina Wilmes.
Swiss Computational Neuroscience Retreat 2022 - Mar. 2-4 - Info
Two Talks:
![SCNR2022](IMG/News/icons/SCNR2022.png)
Jakob Jordan
"Cortical representation learning & Bayes-optimal cue integration"
Paul Haider
"Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons"
6th HBP Student Conference on Interdisciplinary Brain Research - Feb. 22-25 - Info
Two poster presentations:
![logohbp](IMG/News/icons/logohbp.png)
Ben von Hünerbein
"Towards fully embedded biologically inspired deep learning on neuromorphic hardware"
Henrik Mettler
"Evolving Neuronal Plasticity Rules using Cartesian Genetic Programming" - Recipient of the People’s Choice Best Abstract Award
2021
New contribution to NeurIPS: Learning with slow neurons is not a problem anymore!
- Info
- The work of Paul Haider
was selected for oral
presentation at the 35th Conference on Neural Information Processing Systems (NeurIPS 2021)!
![LEnews](IMG/News/icons/LEnews.png)
"Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons" - Publication - Press Release
New contribution to eLife: Evolving to Learn!
![E2LeLife](IMG/News/icons/E2LeLife.png)
"Evolving interpretable plasticity for spiking network" - Publication
-
eLife Digest
- Press Release
CRS2021 - Champalimaud Research Symposium - Oct. 15 - Info
- Talk by Walter Senn "Least action principle and error-based learning in the brain."
ACAIN 2021 - 1st International Advanced Course & Symposium on Artificial Intelligence & Neuroscience - Oct. 5-8 - Info
Five talk presentations:
- Jakob Jordan "Learning Bayes-optimal dendritic opinion pooling."
- Katharina Wilmes "Learning to predict in uncertainty."
- Henrik Mettler "Evolving to Learn: Automating the search for interpretable, biologically plausible synaptic plasticity rules."
- Agnes Korcsak-Gorzo "Cortical oscillations support sampling-based computations in spiking neural network."
- Julian Göltz and Laura Kriener "Fast and energy-efficient neuromorphic deep learning with first-spike times."
Manfred-Stärk-Symposium 2021 - Grandhotel Giessbach - Sep. 26-28
![MSS2021Collage](IMG/News/icons/MSS2021Collage.png)
Special symposium on theoretical neuroscience and neuromorphic computation dedicated to our generous benefactor Manfred Stärk and his foundation.
Bernstein Conference - Sep. 13 - 16 - Info
![logoBNCN](IMG/News/icons/logoBNCN.png)
Nicolas Deperrois
presented the Poster
"Creative memory semantization through adversarial dreaming."
For more details, read the related preprint on arXiv.
2nd PhD and Postdoc Retreat of the Department of Physiology - Sep. 10 - Info
![2021RetreatWinners](IMG/News/icons/2021RetreatWinners.png)
Congrats to Henrik and Jakob for winning two of the Idorsia prizes for academic excellence for best presentations, respectively, for best Long talk - Early PhDs and Popular Vote!
New Preprint! Learning across three different global brain states!
![NDarXivFigbig](IMG/News/icons/NDarXivFigbig.png)
"Memory semantization through perturbed and adversarial dreaming" - See Publications
New lab member (August)
Welcome to our new Postdoc: Dr. Katharina Wilmes
!
GECCO 2021 - The Genetic and Evolutionary Computation Conference July 12 - Info
![logogecco2021](IMG/News/icons/logogecco2021.png)
Henrik Mettler
presented the Poster
"Evolving Neuronal Plasticity Rules using Cartesian Genetic Programming"
Read our Succes Story on using the Fenix Supercomputing Infrastructure!
![fenix](IMG/News/icons/fenix.png)
"HPC Simulations Support Fast and Energy Efficient Deep Neuromorphic Learning" - See Article
CNS*2021 - Computational Neuroscience Meeting - July 4 - Info
![logoocns](IMG/News/icons/logoocns.png)
Andreas Baumbach presented the Featured Oral "Cortical oscillations support sampling-based computations in spiking neural networks" -> Recording (first talk of the video)
New lab members (June)
We are thrilled to welcome Arno Granier
to our PhD program and to have
Ben von Hünerbein
continue as a PhD student!
Mushroom Body Meeting - June 2 - Info
Mila Neural-AI Reading Group - May 21 - Info
- Nicolas Deperrois presented his work on "Creative memory semantization through adversarial dreaming"
NeuroFrance 2021 - May 18-21 - Info
- Julian Göltz talked about "Fast and deep: energy-efficient neuromorphic learning with first-spike times" at the NeuroFrance 2021 satellite workshop "Neuroscience and Artificial Intelligence"
- Walter Senn presented "An EBRAINS application: Learning a functional (iEEG) connectome"at the Symposium Theoretical and computational approaches in neuroscience: European neuroinformatics platform EBRAINS
New lab member (May)
Welcome to our new Postdoc: Dr. Federico Benitez
!
New Preprint! Single neurons perform bayes-optimal cue integration.
![pool](IMG/News/icons/pool.png)
"Learning Bayes-optimal dendritic opinion pooling" -
See Publications
On Apr. 15, Elena Kreutzer
defending successfully her PhD thesis!
NEUROTECH Education Programme: day 6 - Apr. 13 - Info
Our work featured in the last issue of ERCIM News
![ercimmettler](IMG/News/icons/ercimmettler.png)
Read our contribution: "Uncovering Neuronal Learning Principles through Artificial Evolution."
New Article! How predictive plasticity encodes olfactory learning in fruit flies.
![SR2021](IMG/News/icons/SR2021.png)
"Predictive olfactory learning in Drosophila" - See Publications
New contribution to a Preprint! How cortical oscillations shape spike-based probabilistic inference in the brain.
![norb2021](IMG/News/icons/norb2021.png)
"Cortical oscillations implement a backbone for sampling-based computation in spiking neural networks" - See Publications