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

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.

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".


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.

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:"

New lab member (July)


Welcome to our new Research Assistant (Intership): Bennet Breier

Lab Retreat in the Swiss Alps - June 7-10


Four days of science, brain-storming, metaphysical debates, sports, cooking and other chocolate testing. It was a lot of FUN!!

New Article: An alternative to classic deep learning datasets!


"The Yin-Yang dataset". See Publication

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


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

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