News Archive


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2022

New Preprint: (PAL), a bio-plausible method to learn efficient feedback weights!

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"Learning efficient backprojections across cortical hierarchies in real time" - See Publications

New Preprint! Dendritic modulation for implementing contextual adaptation.

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"Dendritic modulation enables multitask representation learning in hierarchical sensory processing pathways".
See Publications

Manfred-Stärk-Symposium 2022 - Lavaux - Sep. 11-12

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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.

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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."

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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

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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
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New article in eLife: how natural-gradient descent enable efficient synaptic plasticity!

Kreutzer2022

"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."

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eLife Article: Learning across three different global brain states!

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"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!

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"Cortical oscillations support sampling-based computations in spiking neural networks" - Publication.

Swiss Computational Neuroscience Retreat 2022 - Mar. 2-4 - Info
Two Talks:

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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:

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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)!

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"Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons" - Publication - Press Release

New contribution to eLife: Evolving to Learn!

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"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

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Special symposium on theoretical neuroscience and neuromorphic computation dedicated to our generous benefactor Manfred Stärk and his foundation.

Bernstein Conference - Sep. 13 - 16 - Info

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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

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

"Memory semantization through perturbed and adversarial dreaming" - See Publications

New lab member (August)
Welcome to our new Postdoc: Dr. Katharina Wilmes !
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GECCO 2021 - The Genetic and Evolutionary Computation Conference July 12 - Info

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Henrik Mettler presented the Poster
"Evolving Neuronal Plasticity Rules using Cartesian Genetic Programming"

Read our Succes Story on using the Fenix Supercomputing Infrastructure!

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"HPC Simulations Support Fast and Energy Efficient Deep Neuromorphic Learning" - See Article

CNS*2021 - Computational Neuroscience Meeting - July 4 - Info

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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!
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Mila Neural-AI Reading Group - May 21 - Info

New lab member (May)
Welcome to our new Postdoc: Dr. Federico Benitez !
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New Preprint! Single neurons perform bayes-optimal cue integration.

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"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

New Article! How predictive plasticity encodes olfactory learning in fruit flies.

SR2021

"Predictive olfactory learning in Drosophila" - See Publications


New contribution to a Preprint! How cortical oscillations shape spike-based probabilistic inference in the brain.

norb2021

"Cortical oscillations implement a backbone for sampling-based computation in spiking neural networks" - See Publications