Brain and Mind Institute Seminar
20.03.09 Thursday, 12h15, AAB032
Dynamical State and Parameter Estimation
Abstract:
In building models of complex systems and networks, one has sparse
measurements from which one must infer unknown parameters at the nodes
and links as well as the unobserved state of the system if predictions
are to be made. When these systems are nonlinear chaotic oscillations
of the networks impede the ability to achieve these goals, and one
must regularize the procedure to stabilize the transmission of
information from the observations to the model. We will discuss this
in a general context and demonstrate how the solution works in
practice for neurobiological systems, in the context of electronic
circuits, and for a small geophysical model.
back |