We are interested in theoretical and computational neuroscience aimed at understanding how the structure and geometry of neurobiological networks constrain and determine network signaling, dynamics, and information flow in the brain. An emerging application of this work is the development of neuromimetic (i.e. neural imitating) algorithms based on a mathematical understanding of the rules by which the biological brain computes. We are also interested in neural engineering applications at the interface between nanotechnology and neuroscience, in particular nanoelectronic technologies for the stimulation and recording of neural activity and the restoration of neural function.

We have recently launched a new blog called 'The Engineered Brain'. The goal is to provide a common meeting ground for issues related to neural engineering, and theoretical and computational neuroscience.