Hi everybody,

I am going to use the Mutual Information (MI) and Transfer Entropy (TE) to characterize the functional connectivity between neurons based on Ca traces. There are many options available, but I am concentrated on TE (TE) and MI as the most general. I extract the spike trains from Ca data and then perform the computations on these vectors.

Based on your experience what method requires smaller amount of data for the reliable estimate of functional connectivity, TE or MI?

What is the advantage of TE over MI, apart from the fact that it is the directed measure?

Many thanks to everyone!

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