Henry Abarbanel, Department of Physics and Marine Physical Laboratory (Scripps Institution of Oceanography);
Center for Theoretical Biological Physics, University of California, San Diego, US
Using an exact statistical physics formulation of transferring information from data to a model of the observations, we
show how to use the path integral involved to analyze individual neurons and discuss our ideas on how to work with
networks to determine functional connectivity of the network. We will illustrate the tools within the formal structure in
examples from nonlinear circuits and some geophysical models as well as discuss their application in neuroscience.