As part of the Google Summer of Code program, I am constructing an API proposal to implement a state-space model using a Kalman Filter and an Expectation Maximization algorithm to estimate functional connectivity between regions of interest as recorded in M/EEG. The proposal also outlines the implementation of methods to compute the statistical significance between functionally connected networks.

This is my first API proposal so any feedback from variables to proposal structure is sincerely appreciated!

References:

• https://www.stat.cmu.edu/~kass/papers/YingNIPS16.pdf