Prof. Igor Farkaš presents On bio-inspired neural network models for cognitive robotics

On 2022-06-14 11:00:00 at G205, Karlovo náměstí 13, Praha 2
During the last decade, artificial neural networks have become a dominant
modeling approach in artificial intelligence mainly thank to successful deep
learning. This allows to successfully solve concrete tasks using mostly huge
models and long training times. In the talk, I will instead focus on various
smaller scale models that have also been successfully used as a proof of
concept, e.g. in cognitive robotics but also elsewhere. I will explain
learning algorithms such as back-propagation, Universal Bidirectional
Associative Mapping (UBAL), the Self-Organizing Map, or AutoEncoder. One aspect
of all models is their degree of biological relevance which will also be
Responsible person: Petr Pošík