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open-connectome-classes / StatConn-Spring-2015-Info

introductory material
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state space representation #187

Open ghost opened 9 years ago

ghost commented 9 years ago

Is it correct to say that the A matrix from the state space model seems to represent a weighted adjacency matrix? In this case, can we compute centrality and other network analysis things off of this matrix? Also, how computationally expensive is it to build the A matrix out of a set of fMRI data?

mrjiaruiwang commented 9 years ago

That's an interesting proposition. I guess if the adjacency matrix represents the connections in the brain, and if the connections are what you define as the state of the brain, then yes either A or a linear transformation of A should be okay for use in a state space model. It helps if A is invertible, which for undirected graphs it is.

adjordan commented 9 years ago

I don't think that it would be computationally expensive, at least not more than using other data types.