Modelling Animal Interactive Rhythms in Communication. (January 2019)

• Record Type: Journal Article
• Authors: Ravignani, Andrea; de Reus, Koen
• Is Part Of: Evolutionary bioinformatics online. Volume 15(2019)
• Publication Date: 2019-01
• Subjects: zoology -- evolutionary biology -- evolutionary neuroscience -- agent-based modelling -- bioacoustics -- rhythm -- chorusing -- turn-taking; Bioinformatics -- Periodicals; Evolutionary computation -- Periodicals; Genetic programming (Computer science) -- Periodicals; Computational Biology; Evolution, Molecular; Bioinformatics; Electronic journals; Periodicals; Fulltext; Internet Resources; Periodicals; Periodicals; 576.8
• DOI: 10.1177/1176934318823558
• Languages: English
• ISSNs: 1176-9343

Abstract

Time is one crucial dimension conveying information in animal communication. Evolution has shaped animals' nervous systems to produce signals with temporal properties fitting their socio-ecological niches. Many quantitative models of mechanisms underlying rhythmic behaviour exist, spanning insects, crustaceans, birds, amphibians, and mammals. However, these computational and mathematical models are often presented in isolation. Here, we provide an overview of the main mathematical models employed in the study of animal rhythmic communication among conspecifics. After presenting basic definitions and mathematical formalisms, we discuss each individual model. These computational models are then compared using simulated data to uncover similarities and key differences in the underlying mechanisms found across species. Our review of the empirical literature is admittedly limited. We stress the need of using comparative computer simulations – both before and after animal experiments – to better understand animal timing in interaction. We hope this article will serve as a potential first step towards a common computational framework to describe temporal interactions in animals, including humans.