Our research is at the interface of neuroscience and physics. We are working on developing a mechanistic understanding of the emergence of function and computation from neural networks.

A main focus of our work is synaptic plasticity and learning, aiming to bridge models of plasticity at the biophysical level and acquisition of skills on the behavioral level. Of particular interest are

  1. Formation of spatial memories in the hippocampus, and their maintenance over long periods.

  2. Learning of complex behaviors which requires coordination of synaptic plasticity across the circuit.

This work is based on theoretical analysis of mathematical models constrained by data, and computational analysis of experimental results.

We are looking to develop collaborations with experimentalists interested in these problems.