Mutual information in random Boolean models of regulatory networks
The amount of mutual information contained in the time series of two elements gives a measure of how well their activities are coordinated. In a large, complex network of interacting elements, such as a genetic regulatory network within a cell, the average of the mutual information over all pairs, ⟨I⟩, is a global measure of how well the system can coordinate its internal dynamics. We study this a
