News

Walter Senn said a few words about the 2024 Nobel Prize in Physics (9:17 - 10:18)

"Unsigned temporal difference errors in cortical L5 dendrites during learning" - See Publication

"The conductor model of consciousness, our neuromorphic twins, and the human-AI deal"
See Publication and Press Release
News articles: myScience - swissinfo.ch - Blick

"Hierarchy of prediction errors shapes the learning of context-dependent sensory representations"
See Publication

Katharina Wilmes presented the talk "Uncertainty-modulation of plasticity"

Walter Senn presented the keynote "Dendritic computations and deep learning in the brain"

Walter Senn shares insights from his work on AI to discuss "Marjorie Prime", a play depicting the recreation of a loved one as an AI.
Read the full interview

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

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

Matthias Tsai presented "Hierarchy of prediction errors shapes context-dependent sensory representations" (Poster)

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

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

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

Katharina Wilmes presented the Poster "Confidence estimation and second-order errors in cortical circuits" and the Talk "Neural mechanisms underlying predictive processing in uncertainty"

Walter Senn presented "Sleep beyond memory replay: how creativity and sleep-dream-reality discrimination emerge" (Talk)

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

Walter Senn presented "Real-time error-based processing in cortical circuits" (Talk)

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

> Ben von Hünerbein presented "Order from chaos: Interplay of development and learning in recurrent networks of structured neurons" (Flash Poster Talk)
> Matthias Tsai presented "Hierarchy of prediction errors shapes context-dependent sensory representations" (Poster)

Luc Lerch presented "DreamOn: Enhancing Deep Learning in Medical Imaging with REM-Dream-Inspired Data Augmentation" (Poster) - Abstract

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

> Walter Senn presented "Dendritic integration of prediction errors in deep cortical networks" (Talk)
> Arno Granier "Confidence modulation of apical dendrites in cortical circuits" (Poster)

- Ismael Jaras: "Learning efficient backprojections in spike and rate-based neuronal microcircuits" (Poster)

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

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

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: "Weight transport through spike timing for robust local gradients"
and Katharina Wilmes co-organised the workshop "The predictive brain: from algorithms to mechanisms"

"An integrative, multiscale view on consciousness theories" - See Publication

The project involves 59 partner institutions from 16 European countries and officially starts in January 2024. As partners, our group together with NeuroTMA were granted €1.2 million.

"The conductor model of consciousness, our neuromorphic twins, and the human-AI deal" -
See Publication

"I want to understand how the brain learns and makes predictions."

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

Ben von Hünerbein with "Jingles bells from Chaos" and
Arno Granier with "To believe or not to believe: uncertainty estimation in cortical circuits"
presented Christmas themed talks to keep up with the spirit of the symposium!

SYNCH will co-design synthetic biological pathways, neuromorphic electronic circuits, and bio-constrained theories of olfactory sensing to create an accurate and efficient perception system for olfaction.
The aim is to realize real-time decoding of biological interactions generated by a range of small molecules through temporal spiking data for fast, distributed, and online chemo-sensing.

- Mihai A. Petrovici chaired the Session 3 "Guides from nature: neuroscience, theoretical biology, complex systems"
- Walter Senn gave the keynote "A theoretical physics guide to neuroscience and cognition"
- Kevin Max gave the talk "Learning efficient backprojections cross cortical hierarchies in real time"

- Katharina A. Wilmes gave the talk "Uncertainty-modulated prediction errors in cortical microcircuits"
- Simon Brandt presented the poster "Prospective and Retrospective Coding in Cortical and Hippocampal Pyramidal Neurons"
- Arno Granier presented the poster "Reliability estimation and second-order prediction errors in cortical circuits"

"Precision estimation and second-order prediction errors in cortical circuits" - See Publication

Kevin Max presented the talk "Learning Efficient Backprojections Across Cortical Hierarchies in Real Time"

"NMDA-driven dendritic modulation enables multitask representation learning in hierarchical sensory processing pathways" - See Publication

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

- Katharina A. Wilmes gave the talk "Uncertainty-modulated prediction errors in cortical microcircuits"
- Kevin Max presented the poster "Learning efficient backprojections across cortical hierarchies in real time"
- Ben von Hünerbein presented the poster "Certainty-weighted integration of information in individual cortical neurons"

This year we invited our friends from the Theoretical Neuroscience group and it was another three days of science, brain-storming, sports, cooking and other team building exercises. As always, it was a lot of FUN!!

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

"A neuronal least-action principle for real-time learning in cortical circuits" - See Publication

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."

"Feasibility, efficacy, and functional relevance of automated auditory closed-loop suppression of slow-wave sleep in humans" - See Publication

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