A soluble model for synchronized rhythmic activity in ant colonies

Fuente: arXiv
Enregistré dans:
Détails bibliographiques
Auteurs principaux: da Silveira, Pedro M. M., Fontanari, José F.
Format: Preprint
Publié: 2024
Sujets:
Accès en ligne:
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
_version_ 1866913426125619200
author da Silveira, Pedro M. M.
Fontanari, José F.
author_facet da Silveira, Pedro M. M.
Fontanari, José F.
contents Synchronization is one of the most striking instances of collective behavior, occurring in many natural phenomena. For example, in some ant species, ants are inactive within the nest most of the time, but their bursts of activity are highly synchronized and involve the entire nest population. Here we revisit a simulation model that generates this synchronized rhythmic activity through autocatalytic behavior, i.e., active ants can activate inactive ants, followed by a period of rest. We derive a set of delay differential equations that provide an accurate description of the short- and medium-time simulations for large ant colonies. Analysis of the fixed-point solutions, complemented by numerical integration of the equations, indicates the existence of stable limit-cycle solutions when the rest period is greater than a threshold and the event of spontaneous activation of inactive ants is very unlikely, so that most of the arousal of ants is done by active ants. Furthermore, we argue that the persistent oscillations observed in the simulations for colonies of finite size are due to resonant amplification of demographic noise.
format Preprint
id arxiv_https___arxiv_org_abs_2402_11391
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle A soluble model for synchronized rhythmic activity in ant colonies
da Silveira, Pedro M. M.
Fontanari, José F.
Adaptation and Self-Organizing Systems
Populations and Evolution
Synchronization is one of the most striking instances of collective behavior, occurring in many natural phenomena. For example, in some ant species, ants are inactive within the nest most of the time, but their bursts of activity are highly synchronized and involve the entire nest population. Here we revisit a simulation model that generates this synchronized rhythmic activity through autocatalytic behavior, i.e., active ants can activate inactive ants, followed by a period of rest. We derive a set of delay differential equations that provide an accurate description of the short- and medium-time simulations for large ant colonies. Analysis of the fixed-point solutions, complemented by numerical integration of the equations, indicates the existence of stable limit-cycle solutions when the rest period is greater than a threshold and the event of spontaneous activation of inactive ants is very unlikely, so that most of the arousal of ants is done by active ants. Furthermore, we argue that the persistent oscillations observed in the simulations for colonies of finite size are due to resonant amplification of demographic noise.
title A soluble model for synchronized rhythmic activity in ant colonies
topic Adaptation and Self-Organizing Systems
Populations and Evolution
url https://arxiv.org/abs/2402.11391