Research topics

The research group takes a brain-inspired approach to explore new avenues in Artificial Intelligence. Our research activities are well described by computational neuroscience, neuro-cognitive agents, neuro-informatics and machine learning.

Computational neuroscience has a long-term perspective to AI. Despite much recent progress in AI, the brain is still the best example of intelligence, particularly in terms of its flexibility. A better understanding of the brain, as part of our collaborations with neuroscience, psychology and medicine, will allow us to develop a stronger brain-inspired artificial intelligence.

Examples of this transfer from computational neuroscience to behaving agents are given in neuro-cognitive agents. Neuro-informatics summarises our research in developing tools for simulating large-scale brain-inspired neural networks on specialized hardware. Machine learning covers our effort in state-of-the-art but more applied AI research, also in collaboration with partners from the industry.