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arxiv: 0909.1740 · v2 · pith:NVV4R4CQnew · submitted 2009-09-09 · ⚛️ physics.bio-ph · cond-mat.stat-mech· nlin.CG

Redundancy and error resilience in Boolean Networks

classification ⚛️ physics.bio-ph cond-mat.stat-mechnlin.CG
keywords networksnoisebooleanerroralwayscapableconsidercritical
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We consider the effect of noise in sparse Boolean Networks with redundant functions. We show that they always exhibit a non-zero error level, and the dynamics undergoes a phase transition from non-ergodicity to ergodicity, as a function of noise, after which the system is no longer capable of preserving a memory if its initial state. We obtain upper-bounds on the critical value of noise for networks of different sparsity.

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