High Dimensional Dynamics & Computation
We develop theories linking synaptic connectivity, neuronal dynamics, and computation. To this end, we analyze high-dimensional, nonlinear network models and connect them to experimental data, using tools from statistical physics and machine learning.
Key directions include the influence of task structure on connectivity and dynamics, novel forms of computation enabled by synaptic plasticity, neuronal and synaptic dynamics unfolding across multiple timescales, and the interpretation of population recordings.
