Research Projects

Understanding the Neural Code If one implants an electrode in the brain and connects it to a loudspeaker, one would hear a rough and unstructured sound. This noise can be the manifestation of imprecision intrinsic to biological signal processing, or it can be the reflection of a highly optimized algorithm. Using mathematical models we research the structure of the neural code in order to develop efficient information algorithms and improve brain machine interfaces.

Statistics of Neuroscience Data To arrive to compact and accurate description of neurons and how they interact, we design statistical methods that can be used on multiple types of biomedical data: electrophysiology, multi-electrode arrays, fluorescence imaging.

Computer simulation of Neural Systems in Health and Disease Using simulation of neural systems, we can screen hypotheses at a rate unachievable with experimental methods. We use simulation to test recovery protocols in demyelinating diseases and stroke.