Department of Physiology

News

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2023

International Conference on Neuromorphic, Natural and Physical Computing - Oct. 9-14
- Info

Mihai A. Petrovici will chair Session 3 "Guides from nature: neuroscience, theoretical biology, complex systems."

Jülich-Aachen Neuromorphic Computing Day - Aug.30 - Info

Mihai A. Petrovici gives his "New insights into the physics of computing"

New Preprint Review!

"Learning beyond sensations: how dreams organize neuronal representations" - See Publications

New Contribution to a normative approach postulating that uncertainty-weighted prediction errors are represented by layer 2/3 pyramidal neurons!

"Uncertainty-modulated prediction errors in cortical microcircuits"
- See Publications

Mihai became an Editorial Board Member of the Journal Research Directions: Bioelectronics - Info
Mihai A. Petrovici and Samit Chakrabarty wrote a call for a question:

"Is neuromorphic computing disruptive enough to 1) advance our understanding of the brain and 2) make the design and working of (bio)electronic devices efficient and scalable?" - See Publication

New Contribution to examine conceptual, technical, and ethical issues raised by the development and use of brain-inspired AI!

"A method for the ethical analysis of brain-inspired AI"
- See Publications

New Preprint brings together academia and industry members to define benchmarks for "brain-inspired" neuromorphic computing!

"NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking" - See Publications

Human Brain Project Summit 2023 - Mar. 28-31 - Info

Mihai A. Petrovici participated to the Session "The interplay of neuroscience and AI" and presented the talk: "Computing with physics: Learning from carbon and silicon".
Julian Göltz participated to the Session "Brain-inspired Robotics And Computing" and presented the talk "Fast and energy-efficient neuromorphic deep learning with first-spike times"

The Human Brain Project Podcast - Info
Mihai A. Petrovici talks about his research on intelligence, his experience of growing up in a family of physicists, and what he does for fun outside of work.

Listen to the podcast "The intersection of biological and artificial intelligence" on YouTube
and also on Spotify & Apple Podcasts

COSYNE Conference & Workshop - Mar. 9-14 - Info

Katharina Wilmes presented "Uncertainty-modulated prediction errors in cortical microcircuits" during the workshop session "Top-down interactions in the neocortex: Structure, function, plasticity and models."

Swiss Computational Neuroscience Retreat 2023 - Feb. 1-3 - Info

Katharina Wilmes presented
"Uncertainty-modulated prediction errors in cortical microcircuits".

2022

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

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

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

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.

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

Agnes Korcsak-Gorzo presented «Neural oscillations implement tempering in spiking neural networks».

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

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.

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.

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

"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:"