Neural Mechanisms of Action Learning
We attempt to decipher the functions of the neural networks and neuromodulators in action and learning by combining neurobiological data with the theory of reinforcement learning.

Cyber Rodents and battery packs

Computational Paradigms for Neuroscience
Interpretation of massive neurobiological data requires solid computational frameworks. We develop computational models and software tools for neuroscience, e.g., for simulating of intracellular molecular dynamics and for estimating signal sources from MEG data.

Parallel Learning Mechanisms in Multi-Agent Society
Our brain is a highly parallel learning system that works in parallel with other brains. We explore parallel learning mechanisms using a colony of Cyber Rodents, which 'survive' by foraging for battery packs and 'reproduce' by exchanging programs through IR ports.