News

Swiss Computational Neuroscience Retreat - Feb. 5-7 - Info
Three talks were presented!
>"Backpropagation through space, time and the brain" by Paul Haider
> "Prospective and retrospective coding in cortical neurons" by Simon Brandt
> "Elise: Efficient learning of Sequences in Structured Recurrent Networks"
by Ben von Hünerbein

New Article in Trends in Neuroscience and Education! Introducing Printed Circuit Board mimicking the basic dynamics of neurons

"Lu.i – A low-cost electronic neuron for education and outreach" - For more info, see the Lu.i page and the Publication

New Preprint!
From milliseconds to nanoseconds: photonic spiking nanolasers enable a dramatic acceleration of Bayesian inference via sampling.

"Ultrafast neural sampling with spiking nanolasers"
See Publication

Lectured by Lu.i!
Undergraduate students at the Technische Hochschule Nürnberg Georg Simon Ohm developed academic projects using our Lu.i neurons, which Prof. Axenie later showcased in his lecture on neuromorphic systems!

For more info, see the academic neuromorphic projects:
Hybrid ArtificialNN and SpikingNN for closed-loop motor control and Spiking Silicon Neurons for Text2Morse Conversion

Spiking Neural networks as Universal Function Approximators Workshop (SNUFA) - Nov. 5-6 - Info

>Timo Gierlich presented the Flash Talk Weight transport through spike timing for robust local gradients
> Maryeme Ouafoudi presented the Poster Evolving Interpretable Plasticity Rules on Accelerated Neuromorphic Hardware
> Julian Göltz and Jimmy Weber presented the Poster DelGrad: Exact gradients in spiking networks for learning transmission delays and weights

Forum für Universität und Gesellschaft - Nov. 02 - Info
The Forum provides free public access to expert knowledge to compile, clarify, and evaluate current information on selected topics. The 2024/25 series of event focuses on human insights in the era of artificial intelligence.

Watch Mihai A. Petrovici explaining how insights into brain learning mechanisms inspire the development of more efficient AI systems.
Das Gehirn als Vorbild: künstliche neuronale Netzwerke.

Interview by the Schweizer Radio und Fernsehen (SRF) Wissenschaftsmagazin - Info

Mihai A. Petrovici said a few words about the 2024 Nobel Prize in Physics (9:57 - 10:18)

Bernstein Conference & Workshops 2024 - Sep. 29- Oct. 2 - Info

> Mihai A. Petrovici presented the talks "Error propagation through space, time and the brain" and "Computation and learning in physical neuronal systems"
> Kevin Max presented the talk "Biological deep learning with three-component rules"
> Katharina Wilmes presented the talk "Uncertainty-modulation of plasticity"
> Peter Lake presented the poster "DelGrad: Exact gradients in spiking networks for learning transmission delays and weights"
> Julian Göltz presented the poster "Emergence of Synfire Chains in Functional Multi-Layer Spiking Neural Networks"

New Article contribution in PNAS Nexus!

"Confidence and second-order errors in cortical circuits"
See Publication

AREADNE 2024 Research in Encoding And Decoding of Neural Ensembles - June 25-29 - Info

Federico Benitez presented "Order from chaos: Interplay of development and learning in recurrent networks of structured neurons" (Poster)

Manfred-Stärk-Symposium 2024 - Thunersee - June. 11-13

Special symposium on Theoretical Neuroscience and Neuromorphic Computation dedicated to our generous benefactor Manfred Stärk and his foundation.

New Article! Single neurons perform bayes-optimal cue integration.

"Conductance-based dendrites perform Bayes-optimal cue integration" - See Publication

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

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

ICNCE: International Conference on Neuromorphic Computing and Engineering - June 3-6 - Info

> Katharina Wilmes presented the Poster "Confidence estimation and second-order errors in cortical circuits" and the Talk "Neural mechanisms underlying predictive processing in uncertainty"
> Timo Gierlich presented the Poster "Weight transport through spike timing for robust local gradients"
> Peter Lake presented the Poster "DelGrad: Training transmission delays for spiking networks on neuromorphic hardware"
> Paul Haider gave the Talk "Backpropagation through space, time and the brain"

New Article Contribution!

"How Adversarial REM Dreams May Facilitate Creativity, and Why We Become Aware of Them" - See Publication

Neuromonster: Fifth International Convention on the Mathematics of Neuroscience
and AI - May 28 - 31 - Info
> Arno Granier gave the Talk "Confidence estimation and second-order errors in cortical circuits"
> Paul Haider gave the spotlight Talk "Backpropagation through space, time and the brain"
> Simon Brandt presented the Poster "Prospective and Retrospective Coding in Cortical and Hippocampal Pyramidal Neurons"

ZEN Neuroscience Lecture - May 24
Mihai A. Petrovici gave the lecture "Computing with physics: Intelligence in carbon and silicon" - Abstract

New Preprint Contribution!

"Prospective and retrospective coding in cortical neurons" - See Publication

EMBO Workshop Principles of dendritic function and computation - May 21-24 - Info

Ben von Hünerbein presented "Order from chaos: Interplay of development and learning in recurrent networks of structured neurons" (Flash Poster Talk)

LAKE CONFERENCES: The Neurobiology of Mental Health - May 12-16 - Info

Katharina Wilmes presented "Uncertainty-weighted prediction errors (UPEs) in cortical microcircuits" (Poster)

New Preprint! An efficient gradient-based algorithm for training temporal variables, specifically transmission delays in SNNs alongside synaptic weights.

"DelGrad: Exact gradients in spiking networks for learning transmission delays and weights" -
See Publication

Capo Caccia Cognitive Neuromorphic Engineering Workshop - April 28 - May 12 - Info
> Mihai A. Petrovici gave a lecture on "Why neurons spike: SNN applications"
> Julian Göltz co-presented "NeuroMorsick, interactive Morse decoding with DelGrad"
> Ismael Jaras led a detailed discussion group on "Fully local learning through space and time" and participated together with Maryeme Ouafoudi to the workgroup "Learning for Neuromorphic Hardware"
> Mihai and Ismael also encouraged the practice of adversarial training

As always, the science was great and it was a lot of fun!

New Preprint! Introducing Printed Circuit Board mimicking the basic dynamics of neurons

"Lu.i - A low-cost electronic neuron for education and outreach" - For more info, see the Lu.i page and the Publication

New Contribution to a multi-disciplinary review on the ethics of brain-inspired AI

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

PLENA - Pucón Learning and AI Summit - Apr. 8-12 - Info

- Mihai A. Petrovici: "Local learning in physical neuronal networks" (Talk)
- Ismael Jaras: "Learning efficient backprojections in spike and rate-based neuronal microcircuits" (Poster)

New Preprint! Generalized Latent Equilibrium (GLE) computational framework for fully local spatio-temporal credit assignment in physical, dynamical networks of neurons.

"Backpropagation through space, time, and the brain" - See Publication

New Preprint!

"Increased perceptual reliability reduces membrane potential variability in cortical neurons" - See Publication

New Preprint!

"Order from chaos: Interplay of development and learning in recurrent networks of structured neurons" - See Publication

AIroV Symposium on AI, Robotics, and Vision - Mar. 26-27 - Info

- Mihai A. Petrovici: "Local learning in physical neuronal networks"
- Timo Gierlich: "Weight transport through spike timing for robust local gradients"

COSYNE Conference & Workshop - Feb. 29 - Mar 5 - Info

Five group members presented a Poster!
- Ben von Hünerbein: "Order from chaos: Interplay of development and learning in recurrent networks of structured neurons"
- Laura Kriener: "Learning efficient backprojections across cortical hierarchies in real time"
- Timo Gierlich: "Learning efficient backprojections across cortical hierarchies in real time"
- Julian Göltz: "Gradient-based methods for spiking physical systems"
and Katharina Wilmes co-organised the workshop "The predictive brain: from algorithms to mechanisms"

CAIM Ethics Talks - Feb. 29 - Info
The CAIM Embedded Ethics Lab hosted its second series of Ethics Talks entitled "Transparency and Ethics in AI Development" to foster public dialogue into ethical challenges of AI applications in medicine.

Mihai A. Petrovici was invited to discuss "AI, autonomy, and mental health." -> Recording

Swiss Computational Neuroscience Retreat - Jan 31 - Feb. 2
Ismael Jaras presented "Learning, forward and backward" and Arno Granier "Confidence estimation and second-order errors in cortical circuits".

EBRAINS 2.0 - New funded Project! - Start: 01.01.2024 / Runtime: 3 years
The EBRAINS 2.0 project was submitted in response to the INFRASERV call (a Horizon Europe's Research Infrastructures actions) and was awarded €38 million to further develop the EBRAINS research infrastructure services, a legacy of the Human Brain Project.

The project involves 59 partner institutions from 16 European countries and officially started in January 2024. As partners, our group together with CompNeuro were granted €1.1 million.