Biologically-inspired self-supervised systems

Internally funded project


Start date : 01.01.2022

Project details

Scientific Abstract

The aim of this project is to develop self-supervised learning systems under biological constraints. This has the twofold advantage of providing biologically plausible computational models, as well as delivering more interpretable decision makers, capable of operating under resource-constrained conditions.

Involved:

Dario Zanca Project Leader Leo Schwinn Project Member Björn Eskofier Project Member

Contributing FAU Organisations:

Lehrstuhl für Informatik 14 (Machine Learning and Data Analytics) Machine Learning and Data Analytics Lab