Neuro-inspired Theory, Modeling and Applications
Our theoretical research is concerned with understanding and analytically describing various aspects of neural network dynamics. On the modeling side, we are mainly interested in functional networks (i.e., networks that do something that we consider useful), for which we take inspiration from both biology and AI research. An essential aspect of model functionality concerns robustness, since one of our goals is the embedding of functional networks in neuromorphic substrates and their application to real-world problems.
Our Research Interests
Highlights
Conclusion of the Human Brain Project (HBP)!
- Nov. 21-24
Walter Senn (CompNeuro group) presented the work achieved together with the NeuroTMA group (M.A. Petrovici) during the last phase of the HBP. The SGA3 phase officially ended on 30 September. Together with our partners, we successfully completed the review of the HBP by the European Commission.
-> See Deliverable (D3.11)
for an overview of our contributions to the HBP project.
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
DEEP MINDS Podcast (in German) - Info
eLife Article: how natural-gradient descent enable efficient synaptic plasticity!
"Natural-gradient learning for spiking neurons".
See Publication
Our group leader speaks his mind!
Read the Interview
that Mihai A. Petrovici
gave on Science and Politics to Uniaktuell - the online magazine of the University of Bern.