News Archive

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 Publication

Our group leader is the newly elected member of the EBRAINS STC!

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The Science and Technology Committee of the EBRAINS Research Infrastructure will provide guidance and advice to the EBRAINS Board of Directors and Management Board on matters related to brain science, technology, and digital research tools and services.

Workshop: Energetics of computation in artificial & natural networks - Dec. 15/16 - Info

  • Julian Göltz was invited to give the talk "From biology to silicon substrates: neural computation with physics".

Parisian Tour - Nov. 21-23

  • Mihai was invited to give the talk "Computing With Physics: Intelligence In Carbon And Silicon" in Paris-Saclay University and the University of Paris to foster new collaborations.

EPFL: NeuroSpin school - Aug. 22-26 - Info

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Mihai was invited to give the lecture "Introduction and state-of-the-art technologies used for neuromorphic computing".

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 Lu.i electronic neuron circuits. The public could also compete against an AI by playing the puzzle game Tic Tac Toe, also known as Noughts and Crosses.

Cellular and Molecular Neurobiology of Mental disease 2022 Meeting - Aug. 24-26

  • Jakob Jordan was invited to give the talk "Dendritic integration as Bayes-optimal opinion pooling".

New Article in iScience! Approximating the ground states of quantum spin models.

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"Variational learning of quantum ground states on spiking neuromorphic hardware".
See Publication - Blog post

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:"

New lab member (July)
Welcome to our new Research Assistant (Intership) Bennet Breier!

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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 Article in NICE Proceedings: An alternative to classic deep learning datasets!

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"The Yin-Yang dataset". See Publication


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

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"Natural-gradient learning for spiking neurons".
See Publication

From Cortical Microcircuits to Consciousness Symposium - Apr 11-13 - Info

  • Nicolas Deperrois presented the poster "Learning cortical representations through perturbed and adversarial dreaming."

New contribution to eLife: Learning across three different global brain states!

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"Learning cortical representations through perturbed and adversarial dreaming"
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."

NICE Conference - Mar 29-Apr 1 - Info
Three talks from Team NeuroTMA! Respectively, on March 29, 31 and April 1
Andreas Baumbach
presented "Quantum many-body states: A novel neuromorphic application" and received the Best Early Researcher Presentation Award from NEUROTECH!!

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Now in 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

Happy to have contributed to shaping the vision of neuroscience in a HBP position paper! - Info

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"

SIAM Conference on Parallel Processing for Scientific Computing - Feb 23-26 - Info

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

New Preprint: a dataset of abstract paintings and nonfigurative art objects!

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"DELAUNAY: a dataset of abstract art for psychophysical and machine learning research" - See Publication

New Article in SciPost Physics: our first demonstration of representing entangled quantum states on BrainScaleS!

SciPost2022

"Spiking neuromorphic chip learns entangled quantum states" - See Publication


News Archive