The singer and the song: The neuromechanics of avian sound production
Graphical abstract
Introduction
Neuromechanicists seek to understand how muscles, sense organs, motor pattern generators, and brain interact to produce coordinated movement [1], including locomotion, eye–limb coordination and also sound production. Many vertebrates have evolved the ability to produce sounds with highly specialized organs [2], driven by complex motor patterns [3, 4] and executed by exceptional muscles [5, 6].
Songbirds produce among the most sophisticated communication signals in nature and song is of critical importance to them. It helps birds establish and maintain territories and to signal reproductive quality to mates [7, 8]. The physical and neural mechanisms by which songs are perceived, produced, and learned are substrates chosen for and against by sexual and natural selection, and song is an important aspect driving speciation [9, 10]. Songbirds and their songs have also proven an invaluable model system to answer fundamental questions in neuroscience [3]. As a result songbirds have become a widely used experimental model system [11], especially for studies aimed at understanding the neural basis of vocal production learning, a complex form of imitation learning with strong parallels to human speech learning [12, 13, 14]. Although we have an increasing understanding of the physics [15] and sensorimotor control [16] of speech and song production in humans, there we lack the experimental manipulations to understand its learned control. In contrast, through studying songbirds, we have the unique potential to quantify the entire neuromechanical system, including neural circuitry interactions, peripheral biomechanics, and feedback mechanisms.
Vocal learning depends on integrated action of neural systems for auditory perception, song learning, and song production. The songbirds, that with over 4000 species comprise almost half of all living bird species, have a set of brain nuclei whose sole function is song learning and production and is referred to as the song system [11]. This circuitry is molecularly distinct from its immediately surrounding tissue [17] and comprises a song motor pathway, which spans from the telencephalon (nucleus HVC) to a brainstem vocal-respiratory network, and an anterior forebrain pathway traversing the telencephalon, striatum, and thalamus [18]. The vocal-respiratory network controls the three major motor systems essential to sound production: the respiratory system, vocal organ, and upper vocal tract. Our understanding of the central processing of song is advancing rapidly [11], but the output and function of these motor neural circuits is still not well understood. Here I review recent developments with a focus on the peripheral motor control and feedback mechanisms to the central control of sound production, and highlight gaps in our knowledge on how motor commands are translated into sound.
Section snippets
Sound production physiology
Birds have evolved a unique and complicated structure dedicated to produce sound, the syrinx, located at the bifurcation of the trachea into the bronchi [19, 20, 21] (Figure 1). This vocal organ is morphologically highly diverse between different bird taxa [22]. The songbird syrinx consists of highly modified partially ossified tracheal and bronchial (half)rings. The caudal parts are fused and form a bone cylinder, the tympanum, which is the insertion point for six to eight pairs of syringeal
Muscle function in motor control
While the respiratory system controls ‘slow’ pressure variations (∼10 Hz) driving sound production, the spectral modulation and fine-temporal structure of song are under direct motor control of highly specialized superfast syringeal muscles, capable of power production at cycle frequencies up to 250 Hz [6]. Songbirds have typically 2 pairs of extrinsic (one insertion site on the syrinx and one elsewhere) and 5 pairs of intrinsic (both insertions sites on the syrinx) syringeal muscles, of which in
Synergistic motor control
From locomotion studies we know that while muscles are often viewed as motors that produce movement by shortening to perform mechanical work, they may serve a variety of other functions in a dynamical context. They may stabilize motion at joints, store elastic energy in connective tissues, and absorb work as well as perform it [51]. The function of a muscle is therefore impossible to assess without biomechanical context. For example, especially during fast motion, the time at which peak forces
Mechanisms of feedback
Just as for human speech, zebra finches require auditory feedback to learn and maintain song [11]. In contrast to locomotory control, neural feedback to the song motor system during sound production does not occur within labial oscillation cycles, because these are too fast (typically ranging from 0.4 to 4 kHz), but still can occur as fast as tens of milliseconds [59]. Several studies have used different online perturbation paradigms, such as altered auditory feedback [60, 61, 62] or
Neuromechanical modelling
To better understand complex motor systems with many degrees of freedom, two types of neuromechanical models can help lead to testable hypotheses [69]. The ‘template’ model describes and predicts the behavior of the body as a target for control (hereon referred to as ‘toy’ model to avoid confusion with the term ‘song template’, which refers to the perceptual target to which juvenile birds match the developing vocalizations during sensorimotor learning). Toy models do not incorporate detailed
Conclusions
Neuromechanics provides a solid framework to study avian and mammalian sound production control. The source-filter theory for human voice production has been shown to applicable to songbirds and several mechanisms of sensorimotor feedback have been detected in songbirds. In spite of significant progress many questions remain unanswered or at least partially so. Principal among these are observations establishing physical mechanisms of sound production under controlled conditions, biomechanics
Conflict of interest statement
Nothing declared.
References and recommended reading
Papers of particular interest, published within the period of review, have been highlighted as:
• of special interest
•• of outstanding interest
Acknowledgements
The author apologizes to all contributors in this field for being unable to cite many original research papers because of space limitations. The author is supported by grants from the Danish council for Independent research and wishes to thank CT Herbst, ON Larsen, JM Ratcliffe and A Surlykke for comments on the manuscript.
References (73)
- et al.
Neurobiology of vocal communication: mechanisms for sensorimotor integration and vocal patterning
Curr Opin Neurobiol
(2010) Vocal fighting and flirting: the functions of birdsong
- et al.
Neurogenetics of birdsong
Curr Opin Neurobiol
(2013) Neurobiology of song learning
Curr Opin Neurobiol
(2009)- et al.
Peripheral mechanisms for vocal production in birds — differences and similarities to human speech and singing
Brain Lang
(2010) Principles of Voice Production
(2000)- et al.
Mechanisms of song production in the Australian magpie
J Comp Physiol A
(2010) - et al.
Role of syringeal muscles in gating airflow and sound production in singing brown thrashers
J Neurophysiol
(1996) - et al.
Central contributions to acoustic variation in birdsong
J Neurosci
(2008) Organization of the zebra finch song control system: II. Functional organization of outputs from nucleus robustus archistriatalis
J Comp Neurol
(1991)
Breathing and vocal control: the respiratory system as both a driver and a target of telencephalic vocal motor circuits in songbirds
Exp Physiol
Disrupting vagal feedback affects birdsong motor control
J Exp Biol
Neuromechanics: an integrative approach for understanding motor control
Integr Comp Biol
Principles of Animal Communication
The songbird as a model for the generation and learning of complex sequential behaviors
ILAR J
Superfast muscles set maximum call rate in echolocating bats
Science
Superfast vocal muscles control song production in songbirds
PLoS ONE
Singing in space and time: the biology of birdsong
Biocommunication of Animals
Speciation in a ring
Nature
Speciation in birds: genes, geography, and sexual selection
Proc Natl Acad Sci U S A
Translating birdsong: songbirds as a model for basic and applied medical research
Annu Rev Neurosci
Birdsong and human speech: common themes and mechanisms
Annu Rev Neurosci
Twitter evolution: converging mechanisms in birdsong and human speech
Nat Rev Neurosci
Stepwise acquisition of vocal combinatorial capacity in songbirds and human infants
Nature
Fluid dynamics of human phonation and speech
Annu Rev Fluid Mech
The neural control of singing
Front Human Neurosci
Producing song: the vocal apparatus
Ann N Y Acad Sci
Peripheral motor dynamics of song production in the zebra finch
Ann Acad Sci
Functional anatomy of the syrinx
The songbird syrinx morphome: a three-dimensional, high-resolution, interactive morphological map of the zebra finch vocal organ
BMC Biol
A new mechanism of sound generation in songbirds
Proc Natl Acad Sci U S A
The role of nonlinear dynamics of the syrinx in the vocalizations of a songbird
Nature
Measurement of the linear and nonlinear mechanical properties of the oscine syrinx: implications for function
J Comp Physiol A
Contributions to birdsong from the left and right sides of the intact syrinx
Nature
Morphological basis for the evolution of acoustic diversity in oscine songbirds
Proc R Soc B Biol Sci
Role of syringeal vibrations in bird vocalizations
Proc R Soc B Biol Sci
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