Literature DB >> 17762154

Singing of Neoconocephalus robustus as an example of deterministic chaos in insects.

Tina P Benko1, Matjaz Perc.   

Abstract

We use nonlinear time series analysis methods to analyse the dynamics of the sound-producing apparatus of the katydid Neoconocephalus robustus. We capture the dynamics by analysing a recording of the singing activity. First, we reconstruct the phase space from the sound recording and test it against determinism and stationarity. After confirming determinism and stationarity, we show that the maximal Lyapunov exponent of the series is positive, which is a strong indicator for the chaotic behaviour of the system. We discuss that methods of nonlinear time series analysis can yield instructive insights and foster the understanding of acoustic communication among insects.

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Year:  2007        PMID: 17762154     DOI: 10.1007/s12038-007-0081-5

Source DB:  PubMed          Journal:  J Biosci        ISSN: 0250-5991            Impact factor:   1.826


  15 in total

1.  Practical implementation of nonlinear time series methods: The TISEAN package.

Authors:  Rainer Hegger; Holger Kantz; Thomas Schreiber
Journal:  Chaos       Date:  1999-06       Impact factor: 3.642

2.  Recognizing determinism in a time series.

Authors: 
Journal:  Phys Rev Lett       Date:  1993-02-01       Impact factor: 9.161

3.  Characterizing noise in nonhuman vocalizations: Acoustic analysis and human perception of barks by coyotes and dogs.

Authors:  Tobias Riede; Brian R Mitchell; Isao Tokuda; Michael J Owren
Journal:  J Acoust Soc Am       Date:  2005-07       Impact factor: 1.840

4.  The evolution of nonhuman primate vocalizations: effects of phylogeny, body weight, and social context.

Authors:  M D Hauser
Journal:  Am Nat       Date:  1993-09       Impact factor: 3.926

5.  Independent coordinates for strange attractors from mutual information.

Authors: 
Journal:  Phys Rev A Gen Phys       Date:  1986-02

6.  Determining embedding dimension for phase-space reconstruction using a geometrical construction.

Authors: 
Journal:  Phys Rev A       Date:  1992-03-15       Impact factor: 3.140

7.  The harmonic-to-noise ratio applied to dog barks.

Authors:  T Riede; H Herzel; K Hammerschmidt; L Brunnberg; G Tembrock
Journal:  J Acoust Soc Am       Date:  2001-10       Impact factor: 1.840

8.  Analysis of vocal disorders with methods from nonlinear dynamics.

Authors:  H Herzel; D Berry; I R Titze; M Saleh
Journal:  J Speech Hear Res       Date:  1994-10

9.  A class of chaotic bird calls?

Authors:  N H Fletcher
Journal:  J Acoust Soc Am       Date:  2000-08       Impact factor: 1.840

10.  The role of nonlinear dynamics of the syrinx in the vocalizations of a songbird.

Authors:  M S Fee; B Shraiman; B Pesaran; P P Mitra
Journal:  Nature       Date:  1998-09-03       Impact factor: 49.962

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  4 in total

1.  Smooth operator: avoidance of subharmonic bifurcations through mechanical mechanisms simplifies song motor control in adult zebra finches.

Authors:  Coen P H Elemans; Rodrigo Laje; Gabriel B Mindlin; Franz Goller
Journal:  J Neurosci       Date:  2010-10-06       Impact factor: 6.167

2.  Nonlinear acoustic complexity in a fish 'two-voice' system.

Authors:  Aaron N Rice; Bruce R Land; Andrew H Bass
Journal:  Proc Biol Sci       Date:  2011-05-11       Impact factor: 5.349

3.  Geographic variation in advertisement calls in a tree frog species: gene flow and selection hypotheses.

Authors:  Yikweon Jang; Eun Hye Hahm; Hyun-Jung Lee; Soyeon Park; Yong-Jin Won; Jae C Choe
Journal:  PLoS One       Date:  2011-08-17       Impact factor: 3.240

4.  Acoustic and temporal partitioning of cicada assemblages in city and mountain environments.

Authors:  Bao-Sen Shieh; Shih-Hsiung Liang; Yuh-Wen Chiu
Journal:  PLoS One       Date:  2015-01-15       Impact factor: 3.240

  4 in total

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