Welcome to the Computational Cognition Lab. We study cognition across humans, animals, and artificial systems. Our work brings together cognitive science, neuroscience, psychology, evolutionary biology, artificial intelligence, and computational modelling to understand how minds perceive, learn, decide, interact, and become conscious.

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If you are interested in pursuing a degree (MSc or PhD) in Cognitive Science, Neuroscience, Psychology, Psychiatry, and related fields, visit our institute's page. You find detailed information about how to apply here or contact me directly. 

The Computational Cognition Lab investigates how humans and animals acquire, process, and act on information. We combine behavioural experiments, computational modelling, machine learning, and advanced sensing technologies to study perception, learning, decision-making, social interaction, and consciousness.

Our research spans a broad range of species, from small-brained invertebrates to fish, dogs, horses, non-human primates, human infants, and adults. This comparative approach allows us to ask how cognitive abilities emerge, how they differ across biological systems, and which principles may be shared across species.

We also develop mathematical and computational models of cognition, including models of category formation, object recognition, social behaviour, symbol grounding, and minimal cognition. By linking empirical data with formal modelling, we aim to better understand the mechanisms that support intelligence in natural and artificial systems.

And there is much more... Please see the Research page for more detailed information. Also check out the News page for current activities in and around the lab.