Gabriel Ocker

I am a member of the Department of Mathematics & Statistics. I work in theoretical neuroscience, studying structure-function relations in neuronal network models. How does neural activity encode sensory information and drive behavior? How does that connectivity shape activity, and what computations does that activity perform? Finally, how do neural circuits evolve, learn, and adapt to shape that activity?  My group studies these types of question in models of neural circuits, often using tools drawn from dynamical systems, stochastic processes and statistical physics. We also test the predictions of these models in neural data, working with experimental collaborators.