CURRENT PROJECTS

RESERVOIR COMPUTERS AND NONLINEAR DYNAMICS

Reservoir computers are special types of machines, where each node of the reservoir can be described by a specific type of dynamical function. We are studying the effects of choosing different types of nodal dynamics on the stability and performance of reservoir computers. Our first paper on this subject can be found at this link: visit this link


CONTROL IN THE PRESENCE OF UNCERTAINTY

Many studies in the literature have explored how one may control networks. Our previous work has involved designing optimal control strategies for both linear and nonlinear complex networks. However, the issue of uncertainty, which is crucial to biological systems and networks, has received little attention. Isaac Klickstein and Francesco Sorrentino are pioneering a new research direction where they use optimal control theory to account for the uncertainty in these systems. Results obtained so far include analytic scaling relationships for the control energy as the uncertainty is increased in the system.


REGULATING AUTOPHAGY

In collaboration with a group of biologists at Los Alamos Laboratory, we are working on the problem of regulating autophagy at the level of a single cell. For more information visit this link