Projects & Publications

The goal of my work is to uncover the computational principle connecting biological and artificial intelligence. I use all data available to the modern neuroscience lab to uncover the mysteries of complex thought and translate our findings into more powerful artificial agents. My empirical work is currently mostly based on neuroimaging data of the developing brain, large scale data of human decision making and single cell recordings in non-human primates. My modelling work currently focuses on artificial neural network models, using a combination of supervised training, reinforcement learning, and biologically inspired wiring rules.

Many of my current ideas on this topic are reviewed in the paper: Building artificial neural circuits for domain-general cognition: a primer on brain-inspired systems-level architecture 


Selected publications

All academic publications

A complete list of my academic publications is available on my Google Scholar profile.

Other publications