Basin entropy in Boolean network ensembles.
@article{Krawitz2007BasinEI, title={Basin entropy in Boolean network ensembles.}, author={Peter M. Krawitz and I. Shmulevich}, journal={Physical review letters}, year={2007}, volume={98 15}, pages={ 158701 } }
The information processing capacity of a complex dynamical system is reflected in the partitioning of its state space into disjoint basins of attraction, with state trajectories in each basin flowing towards their corresponding attractor. We introduce a novel network parameter, the basin entropy, as a measure of the complexity of information that such a system is capable of storing. By studying ensembles of random Boolean networks, we find that the basin entropy scales with system size only in… CONTINUE READING
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