2006
DOI: 10.1242/jeb.02594
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Voices of the dead: complex nonlinear vocal signals from the larynx of an ultrasonic frog

Abstract: Most vertebrate species use sound to communicate intra-and inter-specifically. The vocal repertoires of vertebrate groups range widely, with mammals and especially primates having greater repertoires and call complexity than amphibians. It is often assumed that an increase in vocal complexity requires a corresponding increase in the neuromuscular machinery involved in phonation (e.g. Gaunt, 1983;Simpson and Vicario, 1990). According to this view, animals that lack sophisticated mechanisms for motor control of … Show more

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Cited by 79 publications
(46 citation statements)
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“…In voiced sound production by vertebrates, the most common low-dimensional attractors are the fixed point (a constant value), limit cycle (any periodic oscillation, such as pure tones and harmonic stacks), torus (e.g., amplitude modulated sounds), and chaotic attractor (“noisy” sounds) (Wilden et al, 1998; Fitch et al, 2002). The attractors underlying voiced sound leave characteristic signatures in spectrograms and therefore spectrographic evidence has been used to identify phenomena of LDC in the vocalizations of the zebra finch (Fee et al, 1998) and several other bird species (Nowicki and Capranica, 1986; Fletcher, 2000; Baker and Logue, 2003; Beckers and ten Cate, 2006; Zollinger et al, 2008), as well as frogs (Suthers et al, 2006), humans, and other mammals (Fachini et al, 2003; Herzel et al, 1995; Mann et al, 2006; Riede et al, 2000; Svec et al, 1996; Titze et al, 1993; Tokuda et al, 2008; Tyson et al, 2007), and one insect (Benko and Perc, 2007). Although spectrographic representation of sound is indeed helpful in identifying potential candidates, only more detailed analysis, such as close-return (CR) plots and phase-space embedding, allow unambiguous identification (Titze et al, 1993; Herzel et al, 1995; Svec et al, 1996; Fletcher, 2000; Riede et al, 2000; Fachini et al, 2003; Mann et al, 2006; Tyson et al, 2007; Tokuda et al, 2008).…”
Section: Methodsmentioning
confidence: 99%
“…In voiced sound production by vertebrates, the most common low-dimensional attractors are the fixed point (a constant value), limit cycle (any periodic oscillation, such as pure tones and harmonic stacks), torus (e.g., amplitude modulated sounds), and chaotic attractor (“noisy” sounds) (Wilden et al, 1998; Fitch et al, 2002). The attractors underlying voiced sound leave characteristic signatures in spectrograms and therefore spectrographic evidence has been used to identify phenomena of LDC in the vocalizations of the zebra finch (Fee et al, 1998) and several other bird species (Nowicki and Capranica, 1986; Fletcher, 2000; Baker and Logue, 2003; Beckers and ten Cate, 2006; Zollinger et al, 2008), as well as frogs (Suthers et al, 2006), humans, and other mammals (Fachini et al, 2003; Herzel et al, 1995; Mann et al, 2006; Riede et al, 2000; Svec et al, 1996; Titze et al, 1993; Tokuda et al, 2008; Tyson et al, 2007), and one insect (Benko and Perc, 2007). Although spectrographic representation of sound is indeed helpful in identifying potential candidates, only more detailed analysis, such as close-return (CR) plots and phase-space embedding, allow unambiguous identification (Titze et al, 1993; Herzel et al, 1995; Svec et al, 1996; Fletcher, 2000; Riede et al, 2000; Fachini et al, 2003; Mann et al, 2006; Tyson et al, 2007; Tokuda et al, 2008).…”
Section: Methodsmentioning
confidence: 99%
“…We took advantage of the readily accessible toadfish sonic organ, the swim bladder, to test the proposed role of coupled peripheral oscillators in generating chaotic calls [4,7,[12][13][14]. Like other toadfishes, the three-spined toadfish's swim bladder has a single vocal muscle completely attached to each bladder wall; however, unlike any other known fish species, there are two completely separate bladders, each with one muscle [5].…”
Section: Resultsmentioning
confidence: 99%
“…Across the diversity of vocal vertebrates-from fishes to frogs, songbirds and mammals-analysis of communication signals from these taxonomic groups suggests a strong selection for increased call complexity [2 -7]. Complexity in acoustic signals has traditionally been described by patterns of frequency and/or amplitude modulation, or the sequential combination of harmonic and broadband elements [1,4,7]. However, recent application of chaos theory and nonlinear time-series analysis to animal calls [4,8] has revealed a new metric of acoustic complexity that expands frequency profiles beyond this dichotomous categorization of harmonic and broadband calls in both vertebrate [1,4,7,8] and invertebrate lineages [9][10][11].…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, the observation that parrotbills sometimes showed coordinated mobbing behavior in response to scream call playbacks suggests that screaming may serve to attract conspecifics with the goal of soliciting aid. Nonlinearities observed in the acoustic structure of fear screams may further facilitate the approach response in parrotbills because nonlinearity in vocalizations is common across animal taxa and may be an honest signal of urgency, thereby increasing the response of receivers (Hödl and Gollmann 1986;Wilden et al 1998;Fitch et al 2002;Suthers et al 2006;Blumstein et al 2008;Digby et al 2013). Alternatively, parrotbills may approach the sound source to get information about predators that could be later used to escape from those predators (Conover 1994).…”
Section: Discussionmentioning
confidence: 99%