Neural Dynamics, Control & Learning Lab
We study how our brain controls our body so we can interact with the world.
To do so, we develop neural network models that emulate how different brain regions interact while we perform our daily tasks. We study the dynamics of these models, how they can learn despite having only access to ambiguous and sparse feedback from the world, and how they give rise to adaptive behavior. We also test the insights from these models in brain recordings.
Besides answering fundamental questions about the brain, we also look for the translational benefits that our models can bring. Specifically, we are interested in integrating our models in neuroprostheses that can replace lost function from a diseased brain circuit and communicate with spared circuits through custom electrical stimulation.
Research directions at a glance
Building structured neural network models of the motor regions of the mammalian brain
Testing insights from models with brain data
Mathematical & computational analysis of the dynamics of structured neural network models
Using computational neural network models of mammalian brain regions to design smart neuroprostheses