Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2015 Dec 1.
Published in final edited form as: Cold Spring Harb Protoc. 2014 Oct 23;2014(12):1237–1242. doi: 10.1101/pdb.emo084574

The Zebra Finch, Taeniopygia guttata: An Avian Model for Investigating the Neurobiological Basis of Vocal Learning

Claudio V Mello 1
PMCID: PMC4571486  NIHMSID: NIHMS722135  PMID: 25342070

Abstract

Songbirds are capable of learning their vocalizations by copying a singing adult. This vocal learning ability requires juveniles to hear and memorize the sound of the adult song, and later to imitate that song through a process involving sensorimotor integration. Vocal learning is a trait that songbirds share with humans, where it forms the basis of spoken language acquisition, with other avian groups (parrots and hummingbirds), and with a few other mammals (cetaceans, bats). It is however absent in traditional model organisms like rodents and non-human primates. Zebra finches, a songbird species from Australia, are popular pets, as they have attractive plumage and social behaviors and are easy to breed. They also sing a relatively simple and stereotyped song that is very amenable to quantitative analysis. Zebra finches have thus emerged as a choice model organism for investigating the neurobiological basis of vocal learning. A number of tools and methodologies have been developed to characterize the bioacoustics properties of their song, analyze the degree of accurate copying during vocal learning, map the brain circuits that control singing and song learning, and investigate the physiology of these circuits. Such studies have led to a large base of knowledge on song production and learning, and their underlying neural substrate. Several molecular resources have recently become available, including brain cDNA/EST databases, microarrays, BAC libraries, a molecular brain atlas, a complete genome assembly, and the ability to perform transgenesis. The recent availability of many other avian genomes provides unique opportunities for comparative analysis in the search of features unique to vocal learning organisms.

Background

The Australian zebra finch (Taeniopygia guttata castanotis) is a representative perching songbird (order Passeriformes, suborder oscine) of the Estrildidae family (subfamily Estrildinae), a group of granivorous passerines found throughout tropical and sub-tropical parts of Africa, South-East Asia, and Australia. Zebra finches are highly social, living in large flocks in a diversity of habitats and conditions (Zann 1996). They exhibit marked sexual dimorphism in size, weight, feather and beak coloration, and behavior (Fig. 1). Adult males possess dark parallel stripes that run horizontally over their throat and upper chest and give the species its name.

Figure 1.

Figure 1

Photograph depicting an adult pair (male on right, female on left) of zebra finches (Taeniopygia guttata).

Since their domestication ~150 years ago, zebra finches have become popular birds, due to their bright and attractive plumage patterns, highly social behavior, and the ease with which they can be bred in captivity. They are kept as pets throughout the world, and are represented by a large number of strains (~30) and color morphs (>40 combinations). Since the use of zebra finches in experimental biology was introduced (Moris 1954; Immelmann 1969), they have become a choice experimental model organism, most prominently in the neurobiology of learned vocalizations (Zeigler and Marler 2004; Zeigler and Marler 2008). Juvenile males learn to sing by imitating an adult male tutor, usually the father (Immelmann 1969; Slater et al. 1988). Exposure to song, as well as vocal practice, normally take place during a critical period (Eales 1985) roughly coinciding with pubertal maturation, marked by increased gonadal hormone secretion and the development of dimorphic plumage and behavioral traits (Zann, 1996).

Sources and Husbandry

Zebra finches can no longer be obtained from their natural environment (Zann, 1996), but can be readily purchased from bird farms and local breeders at low cost. A potential issue, however, is that it is difficult to know the exact conditions under which the birds were raised, including what sounds and other environmental factors they were exposed to before adulthood. When controlling such factors is critical, or when a developmental time series is desired, breeding the birds is advisable.

There is considerable evidence of breeding seasonality for zebra finches in the wild, but also ample evidence of flexibility and opportunistic breeding (Zann, 1996). The major factor seems to be food availability, largely dictated by rain availability in most parts of Australia. In contrast, photoperiodicity, of utmost importance for seasonal breeders, does not seem to play a major role in the zebra finch life cycle. In captivity, zebra finches will breed easily, as long as nesting materials and food are supplied, and light, temperature and humidity are in an adequate range (Zahn, 1996; see also Bateson and Feenders 2010; Schmidt 2010; Olson et al. 2014). Breeding can be done in indoor aviaries or single cages. The former is more cost effective in terms of number of birds generated, but it is generally not possible to control for parenthood and/or the source of tutor song during learning. Breeding in single cages is preferable when such factors need to be controlled.

Related species

While zebra finches are particularly useful for studies on the physiological basis of vocal learning, other species have helped elucidate a range of variables that affect song and singing behavior. For example, the Bengalese finch (Lonchura striata domestica) has a complex and variable song that is suited for exploring the biological basis of syntactic organization; and the canary (Serinus canaria, in particular the Waterslager strain), European starling (Sturnus vulgaris) and song sparrow (Melospiza melodia) present seasonal fluctuations in singing and in the properties of the song control circuitry (Brenowitz 2008). Since vocal learning is not restricted to a critical period in juveniles, comparisons with zebra finch offer unique opportunities for uncovering the neuronal basis of seasonal plasticity. Vocal learning also occurs in Psittaciformes (parrots, budgerigar) and Apodiformes (hummingbirds) (Nottebohm 1972; Baptista and Schuchmann 1990). Comparative analysis across these groups provides opportunities for identifying independently evolved vocal learning mechanisms in multiple avian groups. In contrast, Passeriformes of the Suboscine suborder (e.g. flycatchers) are thought to lack vocal learning and associated brain structures (Kroodsma and Konishi 1991; but see Liu et al. 2013), providing opportunities to define neural and genomic features that are unique to vocal learning Passeriformes.

Uses of Zebra Finches as a Model Organism

Zebra finches sing readily in captivity, and their song is stereotyped and relatively simple to quantify in terms of vocal imitation. They can be considered aseasonal, since their singing and breeding behaviors, as well as the anatomical organization of their song circuitry, remain largely unchanged throughout the year. As such, zebra finches offer distinct advantages over other songbirds for studying the neurobiology of song. A wealth of knowledge has accumulated on the bioacoustics properties and ontogenesis of finch song, as well as the anatomical, physiological and neurochemical properties of the brain circuits for song production and learning (reviews in Zeigler and Marler 2004; Zeigler and Marler 2008). Some highlights are:

Vocal learning

Songbirds learn to vocalize by imitating an adult male tutor, usually their father. Songbirds share the vocal learning trait with humans, where it provides the basis for speech and language acquisition. Among mammals, there is evidence of vocal learning in cetaceans, bats (Boughman 1998; Deecke et al. 2000; Knornschild et al. 2010), and possibly elephants (Poole et al. 2005), but no substantiated reports of vocal learning in other mammals, including rodents (Mahrt et al. 2013), making avian species the only tractable organisms for studying mechanisms of vocal learning.

There are marked similarities between birdsong and human speech acquisition (Doupe and Kuhl 1999), including the presence of “babbling”-like immature vocalizations, critical periods for learning, sensorimotor vocal development that is dependent on intact hearing and auditory feedback, and individual vocal variability and dialects. As in humans, vocal learning in zebra finches is influenced by social cues, requiring a live tutor or conditions that closely resemble the natural setting. This offers opportunities for understanding how social factors affect vocal learning.

Brain activity underlying singing behavior

Songbirds and humans share the involvement of cortical- and basal ganglia-like circuitry in the acquisition and production of learned vocalizations (Jarvis 2004). However, because of the nuclear organization of the avian forebrain, areas that control birdsong are distinct (Nottebohm et al. 1976), making it possible to study connectivity, and map the locations of individual projection neurons and interneurons within the song system. This organization has also facilitated the development of methods for obtaining in vivo electrophysiological recordings from individual neurons in awake birds during singing behavior, advancing our understanding of how individual cells that are embedded in a complex circuit participate in the encoding of learned behaviors.

Brain gene expression

Activity-inducible immediate early genes are rapidly induced in different areas when songbirds hear song or actively sing (Mello 1993; Jarvis et al. 1998). Thus, the expression of a natural behavior can be linked to the activation of gene regulatory programs in specific circuits. Recently, high-throughput methods have shown that several hundred genes are regulated during singing (Wada et al. 2006; Hilliard et al. 2012), and identified a large number of molecular specializations of song nuclei (Lombardino et al. 2006; Li et al. 2007; Lovell et al. 2008). These advances have facilitated attempts to define the similarities in molecular organization of the avian brain in comparison with mammals.

Sexual dimorphism and neurosteroid actions

The zebra finch song system is dimorphic, with nuclei conspicuous in males but small or absent in females (Nottebohm and Arnold 1976). This dimorphism is mirrored in behavior, as female finches produce unlearned calls, but do not sing (Vicario 2004). Studies on sex dimorphism and sex steroids revealed that the male zebra finch brain is a source of estrogen (Schlinger and Arnold 1992). Recent technical advances enabled in vivo measurements of real-time steroid fluctuations within discrete brain areas, leading to the realization that some neurosteroids are produced on a much more rapid time scale than previously thought (Remage-Healey et al. 2008).

Adult Neurogenesis

A fundamental contribution of songbirds was the demonstration of adult neurogenesis within song control nuclei, conclusively establishing that an adult vertebrate brain can generate novel neuronal cells (Goldman and Nottebohm 1983; Paton and Nottebohm 1984; Alvarez-Buylla et al. 1988). Protocols for the analysis of adult neurogenesis in songbirds are well established, and can be coupled to tract-tracing and marker analysis (Alvarez-Buylla et al. 1990), allowing further insights into the properties of the neuronal types that can be replaced in adults.

Genetics, genomics and associated resources

Several resources have recently become available. Large-scale brain cDNA library sequencing efforts by the Songbird Neurogenomics (SoNG) Consortium (Replogle et al. 2008; 63,000 reads), the Songbird Brain Transcriptome Database (Wada et al. 2006; 19,220 ESTs), and the Nottebohm lab (Li et al. 2007; 9,845 reads), have identified more than 17,214 transcripts representing an estimated 11,500–15,000 genes. ~92,000 ESTs have been deposited in NCBI, and corresponding cDNAs can be obtained through the Clemson University Genomics Institute (CUGI). A systematic analysis of brain gene expression by in situ hybridization is currently underway, taking the form of a publically accessible molecular brain atlas (ZEBrA: http://www.zebrafinchatlas.org), prepared in registration with a histological atlas (http://zebrafinch.brainarchitecture.org/introduction/; Karten et al. 2013).

The complete sequence (~1.2Gb) of the zebra finch genome, which includes 33 chromosomes and three linkage groups, has been assembled based on Sanger sequencing and BAC fingerprinting (Warren et al. 2010); BAC clones and filter sets are available through CUGI. When combined with the large number of avian genomes (>40) that are being made available Avian Phylogenomics Consortium (Zhang et al. 2014), comparative genomics analyses offer unprecedented opportunities to link broad aspects of vocal learning and the emergence of associated brain circuitry to unique features of avian genomes.

The ability to manipulate gene expression in live animals is essential for directly assessing the role of genes in vocal learning. Localized brain injections of lentiviral vector-based knockdown constructs have been used to demonstrate that basal ganglia expression of FOXP2, a gene related to a familial form of vocal dyspraxia in humans, is required for song learning in zebra finches (Haesler et al. 2007). Lentiviral vectors have also been used for generating transgenic zebra finches (Agate et al. 2009), an important advance that begins to open the doors to in vivo genetic manipulations in songbirds.

Technical approaches

The accompanying papers describe Husbandry and Breeding Guidelines for the Zebra Finch, Taeniopygia guttata (Olson et al. 2014), An optimized protocol for high-throughput in situ hybridization of zebra finch brain (Carleton et al. 2014), A Method for exploring adult neurogenesis in the songbird brain (Asik et al. 2014), a protocol for In vivo detection of fluctuating brain steroid levels (Ikeda et al. 2014), a method for In vivo recording of single-unit activity during singing in zebra finches (Okubo et al. 2014), and a protocol for the Generation of transgenic zebra finches with replication-deficient lentiviruses (Velho and Lois 2014).

Acknowledgments

Peter Lovell and Chris Olson provided helpful comments and suggestions for the text. Chris Olson provided the photographs.

References

  1. Agate RJ, Scott BB, Haripal B, Lois C, Nottebohm F. Transgenic songbirds offer an opportunity to develop a genetic model for vocal learning. Proc Natl Acad Sci U S A. 2009;106:17963–17967. doi: 10.1073/pnas.0909139106. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Alvarez-Buylla A, Kirn JR, Nottebohm F. Birth of projection neurons in adult avian brain may be related to perceptual or motor learning. Science. 1990;249:1444–1446. doi: 10.1126/science.1698312. [DOI] [PubMed] [Google Scholar]
  3. Alvarez-Buylla A, Theelen M, Nottebohm F. Birth of projection neurons in the higher vocal center of the canary forebrain before, during, and after song learning. Proc Natl Acad Sci U S A. 1988;85:8722–8726. doi: 10.1073/pnas.85.22.8722. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Asik K, Rao JL, Kirn JR. A Method for exploring adult neurogenesis in the songbird brain. Cold Spring Harb Protoc. 2014 doi: 10.1101/pdb.prot084590. [DOI] [PubMed] [Google Scholar]
  5. Baptista LF, Schuchmann KL. Song learning in the anna hummingbird (Calypte anna) Ethology. 1990;84:15–26. [Google Scholar]
  6. Bateson M, Feenders G. The use of passerine bird species in laboratory research: implications of basic biology for husbandry and welfare. ILAR journal / National Research Council, Institute of Laboratory Animal Resources. 2010;51:394–408. doi: 10.1093/ilar.51.4.394. [DOI] [PubMed] [Google Scholar]
  7. Boughman JW. Vocal learning by greater spear-nosed bats. Proc R Soc Lond B Biol Sci. 1998;265:227–233. doi: 10.1098/rspb.1998.0286. [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Brenowitz EA. Plasticity of the song control system in adult birds. In: Zeigler HP, Marler P, editors. Neuroscience of Birdsong. Cambridge University Press; 2008. pp. 332–349. [Google Scholar]
  9. Carleton JB, Lovell PV, McHugh A, Marzulla T, Horback K, Mello CV. An optimized protocol for high-throughput in situ hybridization of zebra finch brain. Cold Spring Harb Protoc. 2014 doi: 10.1101/pdb.prot084582. [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Deecke VB, Ford JK, Spong P. Dialect change in resident killer whales: implications for vocal learning and cultural transmission. Anim Behav. 2000;60:629–638. doi: 10.1006/anbe.2000.1454. [DOI] [PubMed] [Google Scholar]
  11. Doupe AJ, Kuhl PK. Birdsong and human speech: common themes and mechanisms. Annu Rev Neurosci. 1999;22:567–631. doi: 10.1146/annurev.neuro.22.1.567. [DOI] [PubMed] [Google Scholar]
  12. Eales LA. Song learning in zebra finches: some effects of song model availability on what is learnt and when. Animal Behavior. 1985;33:1293–1300. [Google Scholar]
  13. Goldman SA, Nottebohm F. Neuronal production, migration, and differentiation in a vocal control nucleus of the adult female canary brain. Proceedings of the National Academy of Sciences U S A. 1983;80:2390–2394. doi: 10.1073/pnas.80.8.2390. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Haesler S, Rochefort C, Georgi B, Licznerski P, Osten P, Scharff C. Incomplete and inaccurate vocal imitation after knockdown of FoxP2 in songbird basal ganglia nucleus Area X. PLoS Biol. 2007;5:e321. doi: 10.1371/journal.pbio.0050321. [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Hilliard AT, Miller JE, Horvath S, White SA. Distinct neurogenomic states in basal ganglia subregions relate differently to singing behavior in songbirds. PLoS computational biology. 2012;8:e1002773. doi: 10.1371/journal.pcbi.1002773. [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Ikeda K, Rensel MA, Schlinger BA, Remage-Healey L. In vivo detection of fluctuating brain steroid levels. Cold Spring Harb Protoc. 2014 doi: 10.1101/pdb.prot084616. [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Immelmann K. Song development in the zebra finch and other estrilid finches. In: Hinde RA, editor. Bird vocalizations. Cambridge University Press; Cambridge, U.K: 1969. pp. 61–74. [Google Scholar]
  18. Jarvis ED. Learned birdsong and the neurobiology of human language. Ann N Y Acad Sci. 2004;1016:749–777. doi: 10.1196/annals.1298.038. [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Jarvis ED, Scharff C, Grossman MR, Ramos JA, Nottebohm F. For whom the bird sings: context-dependent gene expression. Neuron. 1998;21:775–788. doi: 10.1016/s0896-6273(00)80594-2. [DOI] [PubMed] [Google Scholar]
  20. Karten HJ, Brzozowska-Prechtl A, Lovell PV, Tang DD, Mello CV, Wang H, Mitra PP. Digital atlas of the zebra finch (taeniopygia guttata) brain: A high resolution photo atlas. J Comp Neurol. 2013 doi: 10.1002/cne.23443. [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Knornschild M, Nagy M, Metz M, Mayer F, von Helversen O. Complex vocal imitation during ontogeny in a bat. Biol Lett. 2010;6:156–159. doi: 10.1098/rsbl.2009.0685. [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Kroodsma DE, Konishi M. A suboscine bird (eastern phoebe, Sayornis phoebe) develops normal song without auditory feedback. Animal Behavior. 1991;42:477–487. [Google Scholar]
  23. Li X, Wang XJ, Tannenhauser J, Podell S, Mukherjee P, Hertel M, Biane J, Masuda S, Nottebohm F, Gaasterland T. Genomic resources for songbird research and their use in characterizing gene expression during brain development. Proc Natl Acad Sci U S A. 2007;104:6834–6839. doi: 10.1073/pnas.0701619104. [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Liu WC, Wada K, Jarvis E, Nottebohm F. Rudimentary substrates for vocal learning in a suboscine. Nature communications. 2013;4:2082. doi: 10.1038/ncomms3082. [DOI] [PubMed] [Google Scholar]
  25. Lombardino AJ, Hertel M, Li XC, Haripal B, Martin-Harris L, Pariser E, Nottebohm F. Expression profiling of intermingled long-range projection neurons harvested by laser capture microdissection. J Neurosci Methods. 2006;157:195–207. doi: 10.1016/j.jneumeth.2006.04.026. [DOI] [PubMed] [Google Scholar]
  26. Lovell PV, Clayton DF, Replogle KL, Mello CV. Birdsong “transcriptomics”: neurochemical specializations of the oscine song system. PLoS ONE. 2008;3:e3440. doi: 10.1371/journal.pone.0003440. [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Mahrt EJ, Perkel DJ, Tong L, Rubel EW, Portfors CV. Engineered deafness reveals that mouse courtship vocalizations do not require auditory experience. J Neurosci. 2013;33:5573–5583. doi: 10.1523/JNEUROSCI.5054-12.2013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Mello CV. Analysis of immediate early gene expression in the songbird brain following song presentation. The Rockefeller University; New York: 1993. [Google Scholar]
  29. Moris D. The reproductive behaviour of the zebra finch (Poephila guttata) with special reference to pseudofemale behaviour and displacement activities. Behaviour. 1954;7:1–31. [Google Scholar]
  30. Nottebohm F. The origins of vocal learning. American Naturalist. 1972;106:116–140. [Google Scholar]
  31. Nottebohm F, Arnold AP. Sexual dimorphism in vocal control areas of the songbird brain. Science. 1976;194:211–213. doi: 10.1126/science.959852. [DOI] [PubMed] [Google Scholar]
  32. Nottebohm F, Stokes TM, Leonard CM. Central control of song in the canary, Serinus canarius. J Comp Neurol. 1976;165:457–486. doi: 10.1002/cne.901650405. [DOI] [PubMed] [Google Scholar]
  33. Okubo TS, Mackevicius EL, Fee MS. In vivo recording of single-unit activity during singing in zebra finches. Cold Spring Harb Protoc. 2014 doi: 10.1101/pdb.prot084624. [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. Olson CR, Wirthlin M, Mello CV. Husbandry and Breeding Guidelines for the Zebra Finch, Taeniopygia guttata. Cold Spring Harb Protoc. 2014 doi: 10.1101/pdb.prot084780. [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Paton JA, Nottebohm FN. Neurons generated in the adult brain are recruited into functional circuits. Science. 1984;225:1046–1048. doi: 10.1126/science.6474166. [DOI] [PubMed] [Google Scholar]
  36. Poole JH, Tyack PL, Stoeger-Horwath AS, Watwood S. Animal behaviour: elephants are capable of vocal learning. Nature. 2005;434:455–456. doi: 10.1038/434455a. [DOI] [PubMed] [Google Scholar]
  37. Remage-Healey L, Maidment NT, Schlinger BA. Forebrain steroid levels fluctuate rapidly during social interactions. Nat Neurosci. 2008;11:1327–1334. doi: 10.1038/nn.2200. [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Replogle KL, Arnold AP, Ball GF, Band M, Bensch S, Brenowitz EA, Dong S, Drnevich J, Ferris M, George JM, et al. The Songbird Neurogenomics (SoNG) Initiative: community-based tools and strategies for study of brain gene function and evolution. BMC Genomics. 2008;9:131. doi: 10.1186/1471-2164-9-131. [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. Schlinger BA, Arnold AP. Circulating estrogens in a male songbird originate in the brain. Proc Natl Acad Sci U S A. 1992;89:7650–7653. doi: 10.1073/pnas.89.16.7650. [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Schmidt MF. Introduction: Contributions of bird studies to behavioral and neurobiological research. ILAR journal / National Research Council, Institute of Laboratory Animal Resources. 2010;51:305–309. doi: 10.1093/ilar.51.4.305. [DOI] [PubMed] [Google Scholar]
  41. Slater PJB, Eales LA, Clayton NS. Song learning in zebra finches (Taeniopygia guttata): progress and prospects. In: Rosenblatt JS, Beer C, Busnel M-C, Slater PJB, editors. Advances in the Study of Behavior. Harcourt; 1988. [Google Scholar]
  42. Velho TAF, Lois C. Generation of transgenic zebra finches with replication-deficient lentiviruses. Cold Spring Harb Protoc. 2014 doi: 10.1101/pdb.prot084608. [DOI] [PubMed] [Google Scholar]
  43. Vicario DS. Using learned calls to study sensory-motor integration in songbirds. Ann N Y Acad Sci. 2004;1016:246–262. doi: 10.1196/annals.1298.040. [DOI] [PubMed] [Google Scholar]
  44. Wada K, Howard JT, McConnell P, Whitney O, Lints T, Rivas MV, Horita H, Patterson MA, White SA, Scharff C, et al. A molecular neuroethological approach for identifying and characterizing a cascade of behaviorally regulated genes. Proc Natl Acad Sci U S A. 2006;103:15212–15217. doi: 10.1073/pnas.0607098103. [DOI] [PMC free article] [PubMed] [Google Scholar]
  45. Warren WC, Clayton DF, Ellegren H, Arnold AP, Hillier LW, Kunstner A, Searle S, White S, Vilella AJ, Fairley S, et al. The genome of a songbird. Nature. 2010;464:757–762. doi: 10.1038/nature08819. [DOI] [PMC free article] [PubMed] [Google Scholar]
  46. Zann RA. The Zebra Finch: a synthesis of field and laboratory studies. Oxford University Press; 1996. [Google Scholar]
  47. Zeigler HP, Marler P, editors. Behavioral Neurobiology of Birdsong. Ann. NY Acad. Sci; 2004. [Google Scholar]
  48. Zeigler HP, Marler P, editors. Neuroscience of Birdsong. Cambridge Univ. Press; 2008. [Google Scholar]
  49. Zhang G, Li C, Li Q, Li B, Larkin DM, Lee C, Storz JF, Antunes A, Greenwold MJ, Meredith RW, et al. Comparative Genomics Reveals Insights into Avian Genome Evolution and Adaptation. Science. 2014 doi: 10.1126/science.1251385. In Press. [DOI] [PMC free article] [PubMed] [Google Scholar]

RESOURCES