Canalization in the Critical States of Highly Connected Networks of Competing Boolean Nodes

Biology – Quantitative Biology – Molecular Networks

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

8 pages, 5 figures

Scientific paper

Canalization is a classic concept in Developmental Biology that is thought to be an important feature of evolving systems. In a Boolean network it is a form of network robustness in which a subset of the input signals control the behavior of a node regardless of the remaining input. It has been shown that Boolean networks can become canalized if they evolve through a frustrated competition between nodes. This was demonstrated for large networks in which each node had K=3 inputs. Those networks evolve to a critical steady-state at the boarder of two phases of dynamical behavior. Moreover, the evolution of these networks was shown to be associated with the symmetry of the evolutionary dynamics. We extend these results to the more highly connected K>3 cases and show that similar canalized critical steady states emerge with the same associated dynamical symmetry, but only if the evolutionary dynamics is biased toward homogeneous Boolean functions.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Canalization in the Critical States of Highly Connected Networks of Competing Boolean Nodes does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Canalization in the Critical States of Highly Connected Networks of Competing Boolean Nodes, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Canalization in the Critical States of Highly Connected Networks of Competing Boolean Nodes will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-112829

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.