Research in the Computational Neuroscience Lab

We are broadly interested in studying learning and memory in the brain. We are uncovering aspects of memory acquisition, transfer, systems consolidation, overwriting, forgetting, stability of memories, continual learning. We are studying the nature of predictive processing in the brain.

We use mathematical and computational tools to ask the following questions:

• How does neural activity lead to behaviour?

• What is the nature of the activity and synaptic changes during learning? What are the learning rules underlying these changes?

• How does plasticity shape neural activity within the canonical cortical microcircuit?

• How are memories stored in the brain?

• What is the mechanism underlying representational drift?

• How does coordination of multiple brain-regions give rise to behaviour?

• Etc

We are working in tight collaboration with experimental laboratories to make sure our models are not only well constrained by data but also can be tested experimentally.