System identification in neuroscience
Project Leader: Jonathan Manton
Collaborators: Dr Christian Stricker (ANU)
Primary Contact: Jonathan Manton (email@example.com)
Keywords: signal processing; signals and systems; system identification; systems neuroscience
Disciplines: Electrical & Electronic Engineering
Research Centre: Nonlinear Signal Processing Lab
System identification is a core signal processing discipline which studies how best to estimate the parameters of a model from observations. Neuronal networks have characteristics quite different from classically engineered systems. Furthermore, there are generally more restrictions on the type of measurements that can be made on neuronal networks compared with engineered systems. It is therefore timely to refine and extend the theory of system identification to increase its effectiveness in systems neuroscience.