Information flow in finite flocks

J. Brown, T. Bossomaier, L. Barnett

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)
64 Downloads (Pure)


We explore information flow in finite active matter flocks by simulating the canonical Vicsek model and estimating the flow of information as a function of noise (the variability in the extent to which each animal aligns with its neighbours). We show that the global transfer entropy for finite flocks not only fails to peak near the phase transition, as demonstrated for the canonical 2D Ising model, but remains constant from the transition throughout the entire ordered regime to very low noise values. This provides a foundation for future study regarding information flow in more complex models and real-world flocking data.

Original languageEnglish
Article number3837
Pages (from-to)1-8
Number of pages8
JournalScientific Reports
Issue number1
Publication statusPublished - 02 Mar 2020


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