On the effects of firing memory in the dynamics of conjunctive networks

Eric Goles, Pedro Montealegre, Martín Riós-Wilson

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

A boolean network is a map F : {0, 1}n → {0, 1}n that defines a discrete dynamical system by the subsequent iterations of F. Nevertheless, it is thought that this definition is not always reliable in the context of applications, especially in biology. Concerning this issue, models based in the concept of adding asynchronicity to the dynamics were propose. Particularly, we are interested in a approach based in the concept of delay. We focus in a specific type of delay called firing memory and it effects in the dynamics of symmetric (non-directed) conjunctive networks. We find, in the caseis in which the implementation of the delay is not uniform, that all the complexity of the dynamics is somehow encapsulated in the component in which the delay has effect. Thus, we show, in the homogeneous case, that it is possible to exhibit attractors of non-polynomial period. In addition, we study the prediction problem consisting in, given an initial condition, determinate if a fixed coordinate will eventually change its state. We find again that in the non-homogeneous case all the complexity is determined by the component that is affected by the delay and we conclude in the homogeneous case that this problem is PSPACE-complete.

Original languageEnglish
Pages (from-to)5765-5793
Number of pages29
JournalDiscrete and Continuous Dynamical Systems- Series A
Volume40
Issue number10
DOIs
StatePublished - Oct 2020
Externally publishedYes

Keywords

  • Boolean network
  • Conjunctive networks
  • Discrete dynamical systems
  • Firing memory
  • Prediction problem
  • and PSPACE

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