Elsevier

Current Opinion in Neurobiology

Volume 28, October 2014, Pages 172-178
Current Opinion in Neurobiology

The singer and the song: The neuromechanics of avian sound production

https://doi.org/10.1016/j.conb.2014.07.022Get rights and content

Highlights

  • The source-filter theory for human voice production is applicable to songbirds.

  • Biomechanical effects of muscles remain only partially understood.

  • Multiple mechanisms of sensorimotor feedback have been detected in songbirds.

  • Simple models explain complex dynamics of respiration and song production.

Song is crucial to songbirds for establishing territories and signaling genetic quality and an important driver in speciation. Songbirds also have become a widely used experimental model system to study the neural basis of vocal learning, a form of imitation learning with strong parallels to human speech learning. While there is a strong focus on central processing of song production, we still have limited insights into the functional output of the motor neural circuits. This review focuses on recent developments in motor control, biomechanics and feedback mechanisms of sound production in songbirds.

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)

  • M.F. Schmidt et al.

    Breathing and vocal control: the respiratory system as both a driver and a target of telencephalic vocal motor circuits in songbirds

    Exp Physiol

    (2012)
  • J.M. Méndez et al.

    Disrupting vagal feedback affects birdsong motor control

    J Exp Biol

    (2010)
  • K. Nishikawa et al.

    Neuromechanics: an integrative approach for understanding motor control

    Integr Comp Biol

    (2007)
  • J.W. Bradbury et al.

    Principles of Animal Communication

    (2011)
  • M.S. Fee et al.

    The songbird as a model for the generation and learning of complex sequential behaviors

    ILAR J

    (2010)
  • C.P.H. Elemans et al.

    Superfast muscles set maximum call rate in echolocating bats

    Science

    (2011)
  • C.P.H. Elemans et al.

    Superfast vocal muscles control song production in songbirds

    PLoS ONE

    (2008)
  • M. Naguib et al.

    Singing in space and time: the biology of birdsong

    Biocommunication of Animals

    (2013)
  • D.E. Irwin et al.

    Speciation in a ring

    Nature

    (2001)
  • S.V. Edwards et al.

    Speciation in birds: genes, geography, and sexual selection

    Proc Natl Acad Sci U S A

    (2005)
  • M.S. Brainard et al.

    Translating birdsong: songbirds as a model for basic and applied medical research

    Annu Rev Neurosci

    (2013)
  • A.J. Doupe et al.

    Birdsong and human speech: common themes and mechanisms

    Annu Rev Neurosci

    (1999)
  • J.J. Bolhuis et al.

    Twitter evolution: converging mechanisms in birdsong and human speech

    Nat Rev Neurosci

    (2010)
  • D. Lipkind et al.

    Stepwise acquisition of vocal combinatorial capacity in songbirds and human infants

    Nature

    (2013)
  • R. Mittal et al.

    Fluid dynamics of human phonation and speech

    Annu Rev Fluid Mech

    (2013)
  • J.M. Zarate

    The neural control of singing

    Front Human Neurosci

    (2013)
  • R.A. Suthers et al.

    Producing song: the vocal apparatus

    Ann N Y Acad Sci

    (2004)
  • F. Goller et al.

    Peripheral motor dynamics of song production in the zebra finch

    Ann Acad Sci

    (2004)
  • A.S. King

    Functional anatomy of the syrinx

  • D.N. Düring et al.

    The songbird syrinx morphome: a three-dimensional, high-resolution, interactive morphological map of the zebra finch vocal organ

    BMC Biol

    (2013)
  • F. Goller et al.

    A new mechanism of sound generation in songbirds

    Proc Natl Acad Sci U S A

    (1997)
  • M.S. Fee et al.

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

    Nature

    (1998)
  • M.S. Fee

    Measurement of the linear and nonlinear mechanical properties of the oscine syrinx: implications for function

    J Comp Physiol A

    (2002)
  • R.A. Suthers

    Contributions to birdsong from the left and right sides of the intact syrinx

    Nature

    (1990)
  • T. Riede et al.

    Morphological basis for the evolution of acoustic diversity in oscine songbirds

    Proc R Soc B Biol Sci

    (2014)
  • O.N. Larsen et al.

    Role of syringeal vibrations in bird vocalizations

    Proc R Soc B Biol Sci

    (1999)
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