Time-Frequency Analysis Reveals Pairwise Interactions in Insect Swarms

James G. Puckett, Rui Ni, Nicholas T. Ouellette

    Research output: Contribution to journalArticlepeer-review

    36 Scopus citations

    Abstract

    The macroscopic emergent behavior of social animal groups is a classic example of dynamical self-organization, and is thought to arise from the local interactions between individuals. Determining these interactions from empirical data sets of real animal groups, however, is challenging. Using multicamera imaging and tracking, we studied the motion of individual flying midges in laboratory mating swarms. By performing a time-frequency analysis of the midge trajectories, we show that the midge behavior can be segmented into two distinct modes: one that is independent and composed of low-frequency maneuvers, and one that consists of higher-frequency nearly harmonic oscillations conducted in synchrony with another midge. We characterize these pairwise interactions, and make a hypothesis as to their biological function.

    Original languageEnglish (US)
    Article number258103
    JournalPhysical review letters
    Volume114
    Issue number25
    DOIs
    StatePublished - Jun 25 2015

    All Science Journal Classification (ASJC) codes

    • General Physics and Astronomy

    Fingerprint

    Dive into the research topics of 'Time-Frequency Analysis Reveals Pairwise Interactions in Insect Swarms'. Together they form a unique fingerprint.

    Cite this