Nonlinear Sciences – Cellular Automata and Lattice Gases
Scientific paper
2007-11-17
Proceedings of the 13th International Symposium on Artificial Life and Robotics(AROB 13th '08) p885-p890 (2008)
Nonlinear Sciences
Cellular Automata and Lattice Gases
9 Figures and 2 Tables, accepted in AROB'08. accepted in AROB'08
Scientific paper
We demonstrate the advantages of feedforward loops using a Boolean network, which is one of the discrete dynamical models for transcriptional regulatory networks. After comparing the dynamical behaviors of network embedded feedback and feedforward loops, we found that feedforward loops can provide higher temporal order (coherence) with lower entropy (randomness) in a temporal program of gene expression. In addition, complexity of the state space that increases with longer length of attractors and greater number of attractors is also reduced for networks with more feedforward loops. Feedback loops show opposite effects on dynamics of the networks. These results suggest that feedforward loops are one of the favorable local structures in biomolecular and neuronal networks.
Oosawa Chikoo
Savageau Michael A.
Takemoto Kazuhiro
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