Elsevier

Neuroscience

Volume 277, 26 September 2014, Pages 806-817
Neuroscience

Neuroscience Forefront Review
Two neural streams, one voice: Pathways for theme and variation in the songbird brain

https://doi.org/10.1016/j.neuroscience.2014.07.061Get rights and content

Highlights

  • Birdsong is learned in a manner similar to human speech.

  • Two premotor pathways generate the theme and variation of song, but their relative influence shifts during learning.

  • In adult birds, auditory feedback and social stimuli influence the gain of the dual premotor pathways.

  • The neural composition of birdsong involves axial swaths of interconnected neurons.

Abstract

Birdsong offers a unique model system to understand how a developing brain – once given a set of purely acoustic targets – teaches itself the vocal-tract gestures necessary to imitate those sounds. Like human infants, to juvenile male zebra finches (Taeniopygia guttata) falls the burden of initiating the vocal-motor learning of adult sounds. In both species, adult caregivers provide only a set of sounds to be imitated, with little or no information about the vocal-tract gestures used to produce the sounds. Here, we focus on the central control of birdsong and review the recent discovery that zebra finch song is under dual premotor control. Distinct forebrain pathways for structured (theme) and unstructured (variation) singing not only raise new questions about mechanisms of sensory-motor integration, but also provide a fascinating new research opportunity. A cortical locus for a motor memory of the learned song is now firmly established, meaning that anatomical, physiological, and computational approaches are poised to reveal the neural mechanisms used by the brain to compose the songs of birds.

Introduction

Among various forms of developmentally-regulated learning, birdsong most resembles human speech learning. Similar to human infants, juvenile male zebra finches learn to imitate a paternal vocal pattern in a two-phase process that proceeds with little or no requirement for external reinforcement. The initial ‘sensory’ phase involves the formation of an auditory memory of the paternal vocal pattern. Notably, the memory contains only the product of the paternal vocal behavior – the acoustic structure and sequence of vocal sounds. As with human speech there is minimal transmission of information about how to produce the sounds.

In zebra finches, the subsequent ‘sensory-motor’ stage of learning overlaps the initial sensory stage. Sensory-motor learning begins with highly unstructured singing (termed ‘subsong’) that resembles the vocal babbling of human infants (see Fig. 1A). As the name implies, sensory-motor learning requires sensory feedback of the juvenile bird’s own vocalizations for song to be learned. Of critical importance is auditory feedback, which references the auditory memory of paternal song acquired during sensory learning (Price, 1979, Funabiki and Konishi, 2003). Interestingly, the variable structure of subsong appears to be a purposeful exploration of the dynamic range of the vocal organ (Ölveczky et al., 2005, Aronov et al., 2008, Thompson et al., 2011), and perhaps provides a period of associative learning where relationships between different vocal gestures and the sounds those gestures produce are discovered. Subsong is followed by plastic song, characterized by the emergence of a spectrally-pluripotent class of syllables (protosyllables) that progressively differentiate in a piecemeal fashion into facsimiles of the syllables and syllable sequences present in the paternal song pattern (Tchernichovski et al., 2001, Miller et al., 2010, Ravbar et al., 2012, Lipkind et al., 2013 and Fig. 1B). As male zebra finches reach adulthood (90–120 days post-hatch) the song pattern consolidates into a motor memory that is subsequently referenced and produced throughout adult life as a behavioral marker of a bird’s paternal lineage.

Section snippets

The premotor control of birdsong

The juvenile learning and adult production of birdsong is controlled by a bilateral forebrain network that is remarkable in its anatomical isolation and singular purpose (Fig. 2A). The nodes of this behavioral ‘intranet’ are distributed throughout avian cortex, basal ganglia, and thalamus. Moreover, with the exception of modulatory (aminergic) and sensory inputs and motor output, these nodes are connected primarily with one another. Consequently, the learned vocalizations of passerine birds are

Experimental tests of dual premotor control in adult birds

As described above, singing by adult birds persists following ablation/inactivation of either HVC or LMAN, although the form of the singing differs depending on which region is targeted. Highly variable singing follows HVC ablation and highly structured singing follows LMAN ablation. If each premotor stream can function in the absence of the other, how is activity in the two premotor pathways normally integrated during production of the adult song pattern? The simplest hypothesis comes from

Auditory feedback balances the gain of the dual premotor streams

While the above findings are consistent with a purely anatomical explanation (reducing HVC premotor input to RA unmasks LMAN premotor activity), the ∼1-week recovery of the preoperative song following focal HVC damage does not conform to this explanation. The time course of recovery is too rapid for a wholesale restoration of HVC input to RA via neurogenesis (Kirn et al., 1999, Scharff et al., 2000), meaning that the vocal control network can adjust the relative gain of the dual premotor

Population coding of the theme is axial

As alluded to earlier, the necessity of HVC activity for the production of structured adult song (the theme) was evident from the classic works of (Nottebohm et al., 1976, Simpson and Vicario, 1990). However, whether song-structured premotor activity was generated within, or was relayed by, HVC remained an open question until recently. HVC receives afferent input from thalamic and multiple cortical sources (Fig. 2A), a circuit anatomy suggestive of the possibility that HVC may simply be a relay

Computational approaches to compositional technique

How might rostro-caudally oriented swaths of interconnected HVC neurons compose a motor memory for structured adult song? A multi-swath arrangement suggests that song will not be encoded in a unitary fashion, but rather in something like the piecemeal (syllable by syllable) fashion that it is learned (Ravbar et al., 2012, Lipkind et al., 2013). Two other lines of evidence also suggest this will be the case. The first is that different elements of the song pattern are distributed across left and

Acknowledgments

Author names are listed alphabetically (by last name) to reflect the unique contribution that each discipline brings to our research group. The authors thank two anonymous reviewers for their insights and recommendations, which improved the manuscript substantially. The authors would also like to thank Dr. John A. Thompson, Dr. Tiffanie R. Stauffer, Mark J. Basista, Kevin C. Elliott, Diana Flores-Diaz, and Matthew T. Ross – all are former or current members of our interdisciplinary research

References (86)

  • R.C. Ashmore et al.

    Hemispheric coordination is necessary for song production in adult birds: implications for a dual role for forebrain nuclei in vocal motor control

    J Neurophysiol

    (2008)
  • S.W. Bottjer et al.

    Forebrain lesions disrupt development but not maintenance of song in passerine birds

    Science

    (1984)
  • M.S. Brainard et al.

    Interruption of a basal ganglia-forebrain circuit prevents plasticity of learned vocalizations

    Nature

    (2000)
  • J.A. Cardin et al.

    Sensorimotor nucleus NIf is necessary for auditory processing but not vocal motor output in the avian song system

    J Neurophysiol

    (2005)
  • J.D. Charlesworth et al.

    Covert skill learning in a cortical-basal ganglia circuit

    Nature

    (2012)
  • J.R. Chen et al.

    Differential contributions of basal ganglia and thalamus to song initiation, tempo, and structure

    J Neurophysiol

    (2014)
  • M.J. Coleman et al.

    Recovery of impaired songs following unilateral but not bilateral lesions of nucleus uvaeformis of adult zebra finches

    J Neurobiol

    (2005)
  • M.J. Coleman et al.

    Thalamic gating of auditory responses in telencephalic song control nuclei

    J Neurosci

    (2007)
  • N.F. Day et al.

    Directed functional connectivity matures with motor learning in a cortical pattern generator

    J Neurophysiol

    (2013)
  • A. Daou et al.

    Electrophysiological characterization and computational models of HVC neurons in the zebra finch

    J Neurophysiol

    (2013)
  • A.S. Dave et al.

    Song replay during sleep and computational rules for sensorimotor vocal learning

    Science

    (2000)
  • P.J. Drew et al.

    Model of song selectivity and sequence generation in area HVc of the songbird

    J Neurophysiol

    (2003)
  • K.C. Elliott et al.

    Disconnection of a basal ganglia circuit in juvenile songbirds attenuates the spectral differentiation of song syllables

    Dev Neurobiol

    (2014)
  • M.S. Fee et al.

    Neural mechanisms of vocal sequence generation in the songbird

    Ann N Y Acad Sci

    (2004)
  • E.S. Fortune et al.

    Parallel pathways and convergence onto HVc and adjacent neostriatum of adult zebra finches (Taeniopygia guttata)

    J Comp Neurol

    (1995)
  • E.F. Foster et al.

    Lesions of a telencephalic nucleus in male zebra finches: influences on vocal behavior in juveniles and adults

    J Neurobiol

    (2001)
  • Y. Funabiki et al.

    Long memory in song learning by zebra finches

    J Neurosci

    (2003)
  • L. Gibb et al.

    Inhibition and recurrent excitation in a computational model of sparse bursting in song nucleus HVC

    J Neurophysiol

    (2009)
  • L. Gibb et al.

    Brain stem feedback in a computational model of birdsong sequencing

    J Neurophysiol

    (2009)
  • N. Giret et al.

    Evidence for a causal inverse model in an avian cortico-basal ganglia circuit

    Proc Natl Acad Sci U S A

    (2014)
  • J.H. Goldberg et al.

    Vocal babbling in songbirds requires the basal ganglia-recipient motor thalamus but not the basal ganglia

    J Neurophysiol

    (2011)
  • J.H. Goldberg et al.

    A cortical motor nucleus drives the basal ganglia-recipient thalamus in singing birds

    Nat Neurosci

    (2012)
  • M.A. Goldin et al.

    Temperature induced syllable breaking unveils nonlinearly interacting timescales in birdsong motor pathway

    PLoS One

    (2013)
  • V. Grau-Serrat et al.

    Modeling coincidence detection in nucleus laminaris

    Biol Cybern

    (2003)
  • R.H. Hahnloser et al.

    An ultra-sparse code underlies the generation of neural sequences in a songbird

    Nature

    (2002)
  • K. Hamaguchi et al.

    Auditory synapses to song premotor neurons are gated off during vocalization in zebra finches

    Elife

    (2014)
  • K. Herrmann et al.

    The development of afferent projections to the robust archistriatal nucleus in male zebra finches: a quantitative electron microscopic study

    J Neurosci

    (1991)
  • N.A. Hessler et al.

    Social context modulates singing-related neural activity in the songbird forebrain

    Nat Neurosci

    (1999)
  • D.Z. Jin et al.

    Intrinsic bursting enhances the robustness of a neural network model of sequence generation by avian brain area HVC

    J Comput Neurosci

    (2007)
  • D.Z. Jin

    Generating variable birdsong syllable sequences with branching chain networks in avian premotor nucleus HVC

    Phys Rev E Stat Nonlin Soft Matter Phys

    (2009)
  • E.D. Jarvis et al.

    Motor-driven gene expression

    Proc Natl Acad Sci U S A

    (1997)
  • M.H. Kao et al.

    Contributions of an avian basal ganglia-forebrain circuit to real-time modulation of song

    Nature

    (2005)
  • M.H. Kao et al.

    Lesions of an avian basal ganglia circuit prevent context-dependent changes to song variability

    J Neurophysiol

    (2006)
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