Neuroscience
Frontiers in Evolutionary Neuroscience ·
Volume 4 - 2012 | https://doi.org/10.3389/fnevo.2012.00012
Birds, primates, and spoken language origins: behavioral phenotypes and neurobiological substrates
- Christopher I. Petkov1,2*corresponding author
- Erich D. Jarvis3*corresponding author
- 11 Institute of Neuroscience, Newcastle University Newcastle upon Tyne, UK
- 22 Centre for Behavior and Evolution, Newcastle University Newcastle upon Tyne, UK
- 33 Department of Neurobiology, Howard Hughes Medical Institute, Duke University Durham, NC, USA
Abstract
Vocal learners such as humans and songbirds can learn to produce elaborate patterns of structurally organized vocalizations, whereas many other vertebrates such as non-human primates and most other bird groups either cannot or do so to a very limited degree. To explain the similarities among humans and vocal-learning birds and the differences with other species, various theories have been proposed. One set of theories are motor theories, which underscore the role of the motor system as an evolutionary substrate for vocal production learning. For instance, the motor theory of speech and song perception proposes enhanced auditory perceptual learning of speech in humans and song in birds, which suggests a considerable level of neurobiological specialization. Another, a motor theory of vocal learning origin, proposes that the brain pathways that control the learning and production of song and speech were derived from adjacent motor brain pathways. Another set of theories are cognitive theories, which address the interface between cognition and the auditory-vocal domains to support language learning in humans. Here we critically review the behavioral and neurobiological evidence for parallels and differences between the so-called vocal learners and vocal non-learners in the context of motor and cognitive theories. In doing so, we note that behaviorally vocal-production learning abilities are more distributed than categorical, as are the auditory-learning abilities of animals. We propose testable hypotheses on the extent of the specializations and cross-species correspondences suggested by motor and cognitive theories. We believe that determining how spoken language evolved is likely to become clearer with concerted efforts in testing comparative data from many non-human animal species.
Keywords
1. Introduction
Charles Darwin's theory on descent with modification as it applies to man (Darwin, 1871) had for many years been used to underscore the importance of non-human primates for unraveling the origins and neuronal precursors of spoken language (e.g., Hewes, 1973). Yet, in part because of the apparent lack of vocal learning or syntactic-like abilities in non-human primates, different camps have focused on either the differences between human and non-human primates or their similarities. This has resulted in many contentious debates on language evolution with regards to non-human primates (for reviews: Pinker, 1994; Hauser et al., 2002; Pinker and Jackendoff, 2005). Adding further complexity for understanding spoken language origins, recently the research focus has shifted towards species more distantly related to humans, such as certain groups of songbirds. This is in part because songbirds like humans and a few other species exhibit vocal learning and have what has been broadly classified as “syntactic-like” song production (Doupe and Kuhl, 1999; Jarvis, 2004; Bolhuis et al., 2010). A summary of a consortium on the origins of human language syntax and its biological foundations encapsulates some of the current thinking: Another area of agreement might seem surprising in light of many current “primate-centric” studies of language evolution (Burling, 2006; Hurford, 2007). Most participants felt that there were no true precursors of syntax to be found among our nearest relatives. For anything like a syntactic precursor one had to go as far afield as songbirds ….
Likewise, in a thought provoking essay, Bolhuis and Wynne (2009) questioned to what extent evolutionary theory can help us to understand cognitive brain mechanisms in living animals. Their perspective was illustrated by a cartoon depicting a scientist with the great hope of teaching a monkey to say “apple,” but realizing that the monkey is the classroom dunce when the parrot vocally identifies the apple variety as “golden delicious.” Darwin, however, would have likely filled the classroom with as many different animals as possible. In any case, the authors' conclusions are appropriately nuanced and seem to favor a broader comparative approach: “there is no a priori reason to assume that convergence will be more important than common descent or vice versa” (Bolhuis and Wynne, 2009).
We, as researchers that have studied non-human primates and birds, argue that the path toward understanding the origins of spoken language cannot be based on focusing on a few select species with or without communication abilities that are either thought to be most comparable to humans, or to reflect physiology most comparable to humans. Any “one animal centric” approach will only limit our capacity to unravel the evolutionary bases of spoken language. If for no other reason, without “other” species as points of reference, it would not be clear what is special about human communication. Moreover, a focus on certain species restrains the development of different animal model systems with distinct advantages for understanding the neurobiological mechanisms of human language-related processes, which is important for advancing treatment options for communication and language disorders. Thus, to better understand the origins of human spoken language we rely on a broad comparative approach that takes advantage of information obtained across animal taxa, letting each animal have their “say” on the question of language evolution. We are aware that to do so can only be achieved by additional comparative work that will require energy and investment, combined with efforts to stay objective, as best as we can, regarding the cross-species similarities and differences.
In an effort to invigorate a broader perspective on spoken language origins, in this paper we overview the parallels and differences in the behavioral and neurobiological data of vocal learners (e.g., humans and songbirds) and those animals often identified as “vocal non-learners.” We ask how strong is the evidence for categorical distinctions between vocal learners and vocal non-learners? We note that vocal non-learners are often classified as such based on a lack of experimental evidence, but that when the animals are tested, there is often more variation in vocal learning abilities than might have been expected (Janik and Slater, 2000; Snowdon, 2009; Arriaga et al., in press). Moreover, since vocal learning depends on auditory learning, and auditory learning abilities are broadly conserved in the animal kingdom, we ask how this trait dependency could have influenced the evolution and mechanisms of vocal learning. Then, based on a modified perspective of the literature we reconsider some of the motor and other theories that have been proposed for humans, birds and other animals. We conclude by generating testable hypothesis, including for: (1) better understanding variability in the vocal behavior and neurobiology of vertebrates that are often classified as vocal non-learners; and (2) the possible capabilities of, for example, non-human primates as limited vocal learners but considerable auditory learners, to learn the structure of auditory sequences, and whether this might tap into an ancestral “proto-syntactic” brain network that evolved in humans to support syntactic learning.
2. Conclusions
This review has considered the behavioral and neurobiological data in complex-vocal learners such as, humans and songbirds and how they relate to data from so-called “vocal non-learners.” We noted that the evidence provided by several recent examples in the animal behavioral literature motivates a revision of the hypothesized “vocal learning” vs. “vocal non-learning” distinction. We outlined an alternative hypothesis of greater variability in vocal learning categories and in a related but different behavioral phenotype, namely, auditory (sensory) sequence learning. Upon this modified perspective of the behavioral literature, we considered neurobiological distinctions between “vocal learners” and “non-learners,” questioning whether these distinctions will be useful for clarifying behavioral results or whether behavioral variability can help us to understand the neurobiological substrates and distinctions at a finer level.
Motor, gestural and other theories were considered and predictions made, including from the perspective of animals that are not complex-vocal learners. We also considered the distinctions between the tenets of a number of theories regarding the sensory learning (reception) and motor (production) systems, including interconnectivity and interactions with the neurobiological systems supporting cognitive processes and how these may have evolved. This was used to make specific predictions, exemplified in humans, birds, and non-human primates to investigate the neurobiological substrates that might be evolutionarily related, either by common descent or convergence, to the ones that humans rely on for language.
Taking all of this into consideration, we highlighted the need for comparative approaches that more closely consider the behavioral and neurobiological data on sensory learning and vocal production abilities in many vertebrates. This will be critical for staying objective, empirically grounded, and realistic with regards to the aspects of human spoken language that different animal species could address or serve to model. We hope that this paper has been able to underscore the importance of and to encourage further interdisciplinary cross-species work for clarifying not only the origins of spoken language but also the conserved components and specializations present in the neurobiological systems supporting the communication abilities of animals.
Conflict of interest statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
References
- Abe K., Watanabe D. (2011). Songbirds possess the spontaneous ability to discriminate syntactic rules. Nat. Neurosci. 14, 1067 – 1074. doi:10.1038/nn.2869
- Allott R. (1992). The motor theory of language: origin and function, in Language Origin: A Multidisciplinary Approach, eds Wind J., Chiarelli B., Bichakjian B., Nocentini A. (Neatherlands: Kluwer Academic Publishers), 105 – 119.
- Arbib M. A. (2005). From monkey-like action recognition to human language: an evolutionary framework for neurolinguistics. Behav. Brain Sci. 28, 105 – 124. discussion 125–167.
- Arbib M. A. (2010). Mirror system activity for action and language is embedded in the integration of dorsal and ventral pathways. Brain Lang. 112, 12 – 24. doi:10.1016/j.bandl.2009.10.001
- Arnold K., Zuberbuhler K. (2006). Language evolution: semantic combinations in primate calls. Nature 441, 303. doi:10.1038/441303a
- Arriaga G., Jarvis E. D. (in press). Mouse vocal communication system: are ultrasounds learned or innate? Brain Lang. [Epub ahead of print].
- Arriaga G., Zhou E., Jarvis E. D. (in press). Of mice, birds, and men: the mouse ultrasonic song system has features thought unique to humans and song learning birds. PLoS ONE.
- Bahlmann J., Schubotz R. I., Friederici A. D. (2008). Hierarchical artificial grammar processing engages Broca's area. Neuroimage 42, 525 – 534. doi:10.1016/j.neuroimage.2008.04.249
- Bahlmann J., Schubotz R. I., Mueller J. L., Koester D., Friederici A. D. (2009). Neural circuits of hierarchical visuo-spatial sequence processing. Brain Res. 1298, 161 – 170. doi:10.1016/j.brainres.2009.08.017
- Baumann S., Griffiths T. D., Sun L., Petkov C. I., Thiele A., Rees A. (2011). Orthogonal representation of sound dimensions in the primate midbrain. Nat. Neurosci. 14, 423 – 425. doi:10.1038/nn.2771
- Belin P., Zatorre R. J., Lafaille P., Ahad P., Pike B. (2000). Voice-selective areas in human auditory cortex. Nature 403, 309 – 312. doi:10.1038/35002078
- Berwick R. C., Okanoya K., Beckers G. J., Bolhuis J. J. (2011). Songs to syntax: the linguistics of birdsong. Trends Cogn. Sci. 15, 113 – 121. doi:10.1016/j.tics.2011.01.002
- Bickerton D. (2009). Syntax for Non-syntacticians: A brief primer, in Biological Foundations and Origin of Syntax, eds Bickerton D., Szathmary E. (Cambridge, MA: MIT Press), 3 – 15.
- Bickerton D., Szathmary E. (2009). Biological Foundations and Origin of Syntax. Cambridge, MA: MIT Press.
- Bolhuis J. J., Okanoya K., Scharff C. (2010). Twitter evolution: converging mechanisms in birdsong and human speech. Nat. Rev. Neurosci. 11, 747 – 759. doi:10.1038/nrn2931
- Bolhuis J. J., Wynne C. D. (2009). Can evolution explain how minds work? Nature 458, 832 – 833. doi:10.1038/458832a
- Boughman J. W. (1998). Vocal learning by greater spear-nosed bats. Proc. Biol. Sci. 265, 227 – 233. doi:10.1098/rspb.1998.0286
- Boumans T., Gobes S. M., Poirier C., Theunissen F. E., Vandersmissen L., Pintjens W., Verhoye M., Bolhuis J. J., Van der Linden A. (2008). Functional MRI of auditory responses in the zebra finch forebrain reveals a hierarchical organisation based on signal strength but not selectivity. PLoS ONE 3: e3184. doi:10.1371/journal.pone.0003184
- Briefer E., McElligott A. G. (2011). Mutual mother-offspring vocal recognition in an ungulate hider species (Capra hircus). Anim. Cogn. 14, 585 – 598. doi:10.1007/s10071-011-0396-3
- Carr C. E., Code R. A. (2000). The central auditory system of reptiles and birds, in Comparative Hearing: Birds and Reptiles, eds Dooling R. R., Fay R. R., Popper A. N. (New York, NY: Springer), 197 – 248.
- Cartmill M. (2010). Primate classification and diversity, in Primate Neuroethology, eds Ghazanfar A. A., Platt M. L. (Oxford: Oxford University Press), 10 – 30.
- Catchpole C. K., Slater P. J. B. (1995). Bird Song: Biological Themes and Variations. Cambridge: Cambridge University Press.
- Charrier C., Joshi K., Coutinho-Budd J., Kim J. E., Lambert N., De Marchena J., Jin W. L., Vanderhaeghen P., Ghosh A., Sassa T., Polleux F. (2012). Inhibition of SRGAP2 function by its human-specific paralogs induces neoteny during spine maturation. Cell 149, 923 – 935. doi:10.1016/j.cell.2012.03.034
- Chomsky N. (1957). Syntactic Structures. The Hague, Netherlands: Mouton.
- Chomsky N. (1965). Aspects of the Theory of Syntax. Cambridge, MA: MIT Press.
- Chong T. T., Cunnington R., Williams M. A., Kanwisher N., Mattingley J. B. (2008). fMRI adaptation reveals mirror neurons in human inferior parietal cortex. Curr. Biol. 18, 1576 – 1580. doi:10.1016/j.cub.2008.08.068
- Clarke E., Reichard U. H., Zuberbuhler K. (2006). The syntax and meaning of wild gibbon songs. PLoS ONE 1: e73. doi:10.1371/journal.pone.0000073
- Coude G., Ferrari P. F., Roda F., Maranesi M., Borelli E., Veroni V., Monti F., Rozzi S., Fogassi L. (2011). Neurons controlling voluntary vocalization in the macaque ventral premotor cortex. PLoS ONE 6: e26822. doi:10.1371/journal.pone.0026822
- Crockford C., Herbinger I., Vigilant L., Boesch C. (2004). Wild chimpanzees produce group-specific calls: a case for vocal learning? Ethology 110, 221 – 243.
- Darwin C. (1871). The Descent of Man, and Selection in Relation to Sex. Princeton, NJ: Princeton University Press (1981 reprint of original).
- Dennis M. Y., Nuttle X., Sudmant P. H., Antonacci F., Graves T. A., Nefedov M., Rosenfeld J. A., Sajjadian S., Malig M., Kotkiewicz H., Curry C. J., Shafer S., Shaffer L. G., De Jong P. J., Wilson R. K., Eichler E. E. (2012). Evolution of human-specific neural SRGAP2 genes by incomplete segmental duplication. Cell 149, 912 – 922. doi:10.1016/j.cell.2012.03.033
- DeWitt I., Rauschecker J. P. (2012). Phoneme and word recognition in the auditory ventral stream. Proc. Natl. Acad. Sci. U.S.A. 109, E505 – E514. doi:10.1073/pnas.1113427109
- di Pellegrino G., Fadiga L., Fogassi L., Gallese V., Rizzolatti G. (1992). Understanding motor events: a neurophysiological study. Exp. Brain. Res. 91, 176 – 180.
- Doupe A. J., Kuhl P. K. (1999). Birdsong and human speech: common themes and mechanisms. Annu. Rev. Neurosci. 22, 567 – 631. doi:10.1146/annurev.neuro.22.1.567
- Dubbeldam J. L. (1998). The neural substrate for ‘learned’ and ‘nonlearned’ activities in birds: a discussion of the organization of bulbar reticular premotor systems with side-lights on the mammalian situation. Acta anatomica 163, 157 – 172.
- Dujardin E., Jurgens U. (2005). Afferents of vocalization-controlling periaqueductal regions in the squirrel monkey. Brain Res. 1034, 114 – 131. doi:10.1016/j.brainres.2004.11.048
- Egnor S. E., Hauser M. D. (2004). A paradox in the evolution of primate vocal learning. Trends Neurosci. 27, 649 – 654. doi:10.1016/j.tins.2004.08.009
- Ehret G. (1987). Categorical perception of sound signals: fact and hypotheses from animal studies, in Categorical perception: The groundwork of cognition, ed Harnad S. R. (Cambridge, UK: Cambridge University Press), 301 – 331.
- Emery N. J., Clayton N. S. (2009). Comparative social cognition. Annu. Rev. Psychol. 60, 87 – 113. doi:10.1146/annurev.psych.60.110707.163526
- Esser K. H. (1994). Audio-vocal learning in a non-human mammal: the lesser spear-nosed bat Phyllostomus discolor. Neuroreport 5, 1718 – 1720.
- Evans C. S., Evans L., Marler P. (1993). On the meaning of alarm calls: functional reference in an avian vocal system. Anim. Behav. 46, 23 – 38.
- Farries M. A. (2004). The avian song system in comparative perspective. Ann. N.Y. Acad. Sci. 1016, 61 – 76. doi:10.1196/annals.1298.007
- Fee M. S. (2012). Oculomotor learning revisited: a model of reinforcement learning in the basal ganglia incorporating an efference copy of motor actions. Front. Neural Circuits 6: 38. doi:10.3389/fncir.2012.00038
- Feenders G., Liedvogel M., Rivas M., Zapka M., Horita H., Hara E., Wada K., Mouritsen H., Jarvis E. D. (2008). Molecular mapping of movement-associated areas in the avian brain: a motor theory for vocal learning origin. PLoS ONE 3: e1768. doi:10.1371/journal.pone.0001768
- Fischer J., Hammerschmidt K. (2011). Ultrasonic vocalizations in mouse models for speech and socio-cognitive disorders: insights into the evolution of vocal communication. Genes Brain Behav. 10, 17 – 27. doi:10.1111/j.1601-183X.2010.00610.x
- Fitch W. T., Friederici A. (2012). Artificial grammar learning meets formal language theory: an overview. Philos. Trans. R. Soc. Lond. B Biol. Sci. 367, 1933 – 1955. doi:10.1098/rstb.2012.0103
- Fitch W. T., Hauser M. D. (2004). Computational constraints on syntactic processing in a nonhuman primate. Science 303, 377 – 380. doi:10.1126/science.1089401
- Fitch W. T., Huber L., Bugnyar T. (2010). Social cognition and the evolution of language: constructing cognitive phylogenies. Neuron 65, 795 – 814. doi:10.1016/j.neuron.2010.03.011
- Fitch W. T., Jarvis E. D. (in press). Birdsong and other animal models for human speech, song, and vocal learning, in Language, Music and the Brain, ed Arbib M. (Cambridge MA: MIT Press).
- Folia V., Forkstam C., Ingvar M., Hagoort P., Petersson K. M. (2011). Implicit artificial syntax processing: genes, preference, and bounded recursion. Biolinguistics 5, 105 – 132.
- Frey S., Campbell J. S., Pike G. B., Petrides M. (2008). Dissociating the human language pathways with high angular resolution diffusion fiber tractography. J. Neurosci. 28, 11435 – 11444. doi:10.1523/JNEUROSCI.2388-08.2008
- Friederici A. D. (2004). Processing local transitions versus long-distance syntactic hierarchies. Trends Cogn. Sci. 8, 245 – 247. doi:10.1016/j.tics.2004.04.013
- Friederici A. D. (2009). Brain circuits of syntax, in Biological Foundations and Origin of Syntax, eds Bickerton D., Szathmary E. (Cambridge, MA: MIT Press), 239 – 252.
- Friederici A. D. (2011). The brain basis of language processing: from structure to function. Physiol. Rev. 91, 1357 – 1392. doi:10.1152/physrev.00006.2011
- Friederici A. D., Bahlmann J., Heim S., Schubotz R. I., Anwander A. (2006). The brain differentiates human and non-human grammars: functional localization and structural connectivity. Proc. Natl. Acad. Sci. U.S.A. 103, 2458 – 2463. doi:10.1073/pnas.0509389103
- Friederici A. D., Mueller J. L., Oberecker R. (2011). Precursors to natural grammar learning: preliminary evidence from 4-month-old infants. PLoS ONE 6: e17920. doi:10.1371/journal.pone.0017920
- Fritz J., Mishkin M., Saunders R. C. (2005). In search of an auditory engram. Proc. Natl. Acad. Sci. U.S.A. 102, 9359 – 9364. doi:10.1073/pnas.0503998102
- Gentner T. Q., Fenn K. M., Margoliash D., Nusbaum H. C. (2006). Recursive syntactic pattern learning by songbirds. Nature 440, 1204 – 1207. doi:10.1038/nature04675
- Goodman M., Porter C. A., Czelusniak J., Page S. L., Schneider H., Shoshani J., Gunnell G., Groves C. P. (1998). Toward a phylogenetic classification of Primates based on DNA evidence complemented by fossil evidence. Mol. Phylogenet. Evol. 9, 585 – 598. doi:10.1006/mpev.1998.0495
- Grill-Spector K., Henson R., Martin A. (2006). Repetition and the brain: neural models of stimulus-specific effects. Trends Cogn. Sci. 10, 14 – 23. doi:10.1016/j.tics.2005.11.006
- Hackett S. J., Kimball R. T., Reddy S., Bowie R. C., Braun E. L., Braun M. J., Chojnowski J. L., Cox W. A., Han K. L., Harshman J., Huddleston C. J., Marks B. D., Miglia K. J., Moore W. S., Sheldon F. H., Steadman D. W., Witt C. C., Yuri T. (2008). A phylogenomic study of birds reveals their evolutionary history. Science 320, 1763 – 1768. doi:10.1126/science.1157704
- Hage S. R., Jurgens U. (2006). On the role of the pontine brainstem in vocal pattern generation: a telemetric single-unit recording study in the squirrel monkey. J. Neurosci. 26, 7105 – 7115. doi:10.1523/JNEUROSCI.1024-06.2006
- Hagoort P. (2009). Reflections on the neurobiology of syntax, in Biological Foundations and Origins of Syntax, eds Bickerton D., Szathmary E. (Cambridge, MA: MIT Press), 279 – 298.
- Halpern M. E., Gunturkun O., Hopkins W. D., Rogers L. J. (2005). Lateralization of the vertebrate brain: taking the side of model systems. J. Neurosci. 25, 10351 – 10357. doi:10.1523/JNEUROSCI.3439-05.2005
- Hammerschmidt K., Freudenstein T., Jurgens U. (2001). Vocal development in squirrel monkeys. Behaviour 138, 1179 – 1204.
- Hannig S., Jurgens U. (2006). Projections of the ventrolateral pontine vocalization area in the squirrel monkey. Exp. Brain. Res. 169, 92 – 105. doi:10.1007/s00221-005-0128-5
- Hara E., Rivas M. V., Ward J. M., Okanoya K., Jarvis E. D. (2012). Convergent differential regulation of parvalbumin in the brains of vocal learners. PLoS ONE 7: e29457. doi:10.1371/journal.pone.0029457
- Hast M. H., Fischer J. M., Wetzel A. B., Thompson V. E. (1974). Cortical motor representation of the laryngeal muscles in Macaca mulatta. Brain Res. 73, 229 – 240. doi:10.1016/0006-8993(74)91046-4
- Hauser M. D., Chomsky N., Fitch W. T. (2002). The faculty of language: what is it, who has it, and how did it evolve? Science 298, 1569 – 1579. doi:10.1126/science.298.5598.1569
- Heffner H. E., Heffner R. S. (1984). Temporal lobe lesions and perception of species-specific vocalizations by macaques. Science 226, 75 – 76. doi:10.1126/science.6474192
- Hewes G. W. (1973). Primate communication and the gestural origin of language. Curr. Anthropol. 14, 5 – 24.
- Holy T. E., Guo Z. (2005). Ultrasonic songs of male mice. PLoS Biol. 3: e386. doi:10.1371/journal.pbio.0030386
- Honda E., Okanoya K. (1999). Acoustical and syntactical comparisons between songs of the white-backed Munia (Lonchura striata) and its domesticated strain, the Bengalese finch (Lonchura striata var. domestica). Zool. Sci. 16, 319 – 326.
- Hopkins W. D., Taglialatela J., Leavens D. A. (2007). chimpanzees differentially produce novel vocalizations to capture the attention of a human. Anim. Behav. 73, 281 – 286. doi:10.1016/j.anbehav.2006.08.004
- Horita H., Kobayashi M., Liu W.-C., Oka K., Jarvis E. D., Wada K. (2012). Specialized motor-driven dusp1 expression in the song system of separate lineages of vocal learning birds. PLoS ONE 7: e42173. doi:10.1371/journal.pone.0042173
- Hosino T., Okanoya K. (2000). Lesion of a higher-order song nucleus disrupts phrase level complexity in Bengalese finches. Neuroreport 11, 2091 – 2095.
- Hurford J. R. (2012). The Origins of Grammar: Language in the Light of Evolution. Oxford: Oxford University Press.
- Iwatsubo T., Kuzuhara S., Kanemitsu A., Shimada H., Toyokura Y. (1990). Corticofugal projections to the motor nuclei of the brainstem and spinal cord in humans. Neurology 40, 309 – 312.
- Jaeger G., Rogers J. (2012). Formal language theory: refining the Chomsky hierarchy. Philos. Trans. R. Soc. Lond. B Biol. Sci. 367, 1956 – 1970. doi:10.1098/rstb.2012.0077
- Janik V. M., Slater P. J. (1997). Vocal learning in mammals. Adv. Study Behav. 26, 59 – 99.
- Janik V. M., Slater P. J. (2000). The different roles of social learning in vocal communication. Anim. Behav. 60, 1 – 11. doi:10.1006/anbe.2000.1410
- Jarvis E. D. (2004). Learned birdsong and the neurobiology of human language. Ann. N.Y. Acad. Sci. 1016, 749 – 777. doi:10.1196/annals.1298.038
- Jarvis E. D. (2006). Selection for and against vocal learning in birds and mammals. Ornithol. Sci. 5, 5 – 14.
- Jarvis E. D., Gunturkun O., Bruce L., Csillag A., Karten H., Kuenzel W., Medina L., Paxinos G., Perkel D. J., Shimizu T., Striedter G., Wild J. M., Ball G. F., Dugas-Ford J., Durand S. E., Hough G. E., Husband S., Kubikova L., Lee D. W., Mello C. V., Powers A., Siang C., Smulders T. V., Wada K., White S. A., Yamamoto K., Yu J., Reiner A., Butler A. B. (2005). Avian brains and a new understanding of vertebrate brain evolution. Nat. Rev. Neurosci. 6, 151 – 159. doi:10.1038/nrn1606
- Jarvis E. D., Mello C. V. (2000). Molecular mapping of brain areas involved in parrot vocal communication. J. Comp. Neurol. 419, 1 – 31. doi:10.1002/(SICI)1096-9861(20000327)419:1<1::AID-CNE1>3.0.CO;2-M
- Jarvis E. D., Nottebohm F. (1997). Motor-driven gene expression. Proc. Natl. Acad. Sci. U.S.A. 94, 4097 – 4102.
- Jarvis E. D., Ribeiro S., Da Silva M. L., Ventura D., Vielliard J., Mello C. V. (2000). Behaviourally driven gene expression reveals song nuclei in hummingbird brain. Nature 406, 628 – 632. doi:10.1038/35020570
- Joly O., Ramus F., Pressnitzer D., Vanduffel W., Orban G. A. (2012). Interhemispheric differences in auditory processing revealed by fMRI in awake rhesus monkeys. Cereb. Cortex 22, 838 – 853. doi:10.1093/cercor/bhr150
- Jurgens U. (2002). Neural pathways underlying vocal control. Neurosci. Biobehav. Rev. 26, 235 – 258. doi:10.1016/S0149-7634(01)00068-9
- Jurgens U. (2009). The neural control of vocalization in mammals: a review. J. Voice 23, 1 – 10. doi:10.1016/j.jvoice.2007.07.005
- Jurgens U., Pratt R. (1979a). The cingular vocalization pathway in the squirrel monkey. Exp. Brain Res. 34, 499 – 510.
- Jurgens U., Pratt R. (1979b). Role of the periaqueductal grey in vocal expression of emotion. Brain Res. 167, 367 – 378. doi:10.1016/0006-8993(79)90830-8
- Kaas J. H., Hackett T. A. (2000). Subdivisions of auditory cortex and processing streams in primates. Proc. Natl. Acad. Sci. U.S.A. 97, 11793 – 11799. doi:10.1073/pnas.97.22.11793
- Kaminski J., Call J., Fischer J. (2004). Word learning in a domestic dog: evidence for “fast mapping”. Science 304, 1682 – 1683. doi:10.1126/science.1097859
- Khedr E. M., Aref E. E. (2002). Electrophysiological study of vocal-fold mobility disorders using a magnetic stimulator. Eur. J. Neurol. 9, 259 – 267. doi:10.1046/j.1468-1331.2002.00394.x
- Kikusui T., Nakanishi K., Nakagawa R., Nagasawa M., Mogi K., Okanoya K. (2011). Cross fostering experiments suggest that mice songs are innate. PLoS ONE 6: e17721. doi:10.1371/journal.pone.0017721
- Kirzinger A., Jurgens U. (1982). Cortical lesion effects and vocalization in the squirrel monkey. Brain Res. 233, 299 – 315. doi:10.1016/0006-8993(82)91204-5
- Kirzinger A., Jurgens U. (1985). The effects of brainstem lesions on vocalization in the squirrel monkey. Brain Res. 358, 150 – 162. doi:10.1016/0006-8993(85)90959-X
- Konishi M., Akutagawa E. (1988). A critical period for estrogen action on neurons of the song control system in the zebra finch. Proc. Natl. Acad. Sci. U.S.A. 85, 7006 – 7007.
- Kroodsma D. E. (1976). Reproductive development in a female songbird: differential stimulation by quality of male song. Science 192, 574 – 575. doi:10.1126/science.192.4239.574
- Kroodsma D. E., Konishi M. (1991). A suboscine bird (Eastern phoebe, Sayornis phoebe) develops normal song without auditory feedback. Anim. Behav. 42, 477 – 487.
- Kuypers H. G. (1958a). Corticobular connexions to the pons and lower brain-stem in man: an anatomical study. Brain 81, 364 – 388. doi:10.1093/brain/81.3.364
- Kuypers H. G. (1958b). Some projections from the peri-central cortex to the pons and lower brain stem in monkey and chimpanzee. J. Comp. Neurol. 110, 221 – 255.
- Kuypers H. G. (1982). A new look at the organization of the motor system. Prog. Brain Res. 57, 381 – 403. doi:10.1016/S0079-6123(08)64138-2
- Lemon R. N. (2008). Descending pathways in motor control. Annu. Rev. Neurosci. 31, 195 – 218. doi:10.1146/annurev.neuro.31.060407.125547
- Liberman A. M., Mattingly I. G. (1985). The motor theory of speech perception revised. Cognition 21, 1 – 36. doi:10.1016/0010-0277(85)90021-6
- Lilly J. C. (1965). Vocal mimicry in tursiops: ability to match numbers and durations of human vocal bursts. Science 147, 300 – 301.
- Lomber S. G., Malhotra S. (2008). Double dissociation of ‘what’ and ‘where’ processing in auditory cortex. Nat. Neurosci. 11, 609 – 616. doi:10.1038/nn.2108
- Makuuchi M., Bahlmann J., Anwander A., Friederici A. D. (2009). Segregating the core computational faculty of human language from working memory. Proc. Natl. Acad. Sci. U.S.A. 106, 8362 – 8367. doi:10.1073/pnas.0810928106
- Marcus G. F., Vijayan S., Ban di Rao S., Vishton P. M. (1999). Rule learning by seven-month-old infants. Science 283, 77 – 80. doi:10.1016/j.cognition.2006.11.004
- Margoliash D., Schmidt M. F. (2010). Sleep, off-line processing, and vocal learning. Brain Lang. 115, 45 – 58. doi:10.1016/j.bandl.2009.09.005
- Marler P. (1970). Birdsong and speech development: could there be parallels? Am. Sci. 58, 669 – 673.
- Marler P. (2000). Origins of music and speech: insights from animals, in The Origins of Music, eds Wallin N. L., Merker B., Brown S. (Cambridge: Massachusetts Institute of Technology), 31 – 50.
- Marler P., Tamura M. (1964). Culturally transmitted patterns of vocal behavior in sparrows. Science 146, 1483 – 1486. doi:10.1126/science.146.3650.1483
- Marshall A. J., Wrangham R. W., Arcadi A. C. (1999). Does learning affect the structure of vocalizations in chimpanzees? Anim. Behav. 58, 825 – 830. doi:10.1006/anbe.1999.1219
- Marslen-Wilson W. D., Tyler L. K. (2007). Morphology, language and the brain: the decompositional substrate for language comprehension. Philos. Trans. R. Soc. Lond. B Biol. Sci. 362, 823 – 836. doi:10.1098/rstb.2007.2091
- Masataka N., Fujita I. (1989). Vocal learning of Japanese and rhesus monkeys. Behaviour 109, 191 – 199.
- Matsunaga E., Okanoya K. (2009). Vocal control area-related expression of neuropilin-1, plexin-A4, and the ligand semaphorin-3A has implications for the evolution of the avian vocal system. Dev. Growth Differ. 51, 45 – 54. doi:10.1111/j.1440-169X.2008.01080.x
- Milojevic B., Hast M. H. (1964). Cortical motor centers of the laryngeal muscles in the cat and dog. Ann. Otol. Rhinol. Laryngol. 73, 979 – 988.
- Miller C. T., DiMauro A., Pistorio A., Hendry S., Wang X. (2010). Vocalization induced cFos expression in marmoset cortex. Front. Integr. Neurosci. 4: 128. doi:10.3389/fnint.2010.00128
- Mooney R. (2009). Neurobiology of song learning. Curr. Opin. Neurobiol. 19, 654 – 660. doi:10.1016/j.conb.2009.10.004
- Moore B. R. (2004). The evolution of learning. Biol. Rev. Camb. Philos. Soc. 79, 301 – 335. doi:10.1017/S1464793103006225
- Munoz-Lopez M. M., Mohedano-Moriano A., Insausti R. (2010). Anatomical pathways for auditory memory in primates. Front. Neuroanat. 4: 129. doi:10.3389/fnana.2010.00129
- Murphy R. A., Mondragon E., Murphy V. A. (2008). Rule learning by rats. Science 319, 1849 – 1851. doi:10.1126/science.1151564
- Newport E. L., Hauser M. D., Spaepen G., Aslin R. N. (2004). Learning at a distance II. Statistical learning of non-adjacent dependencies in a non-human primate. Cogn. Psychol. 49, 85 – 117. doi:10.1016/j.cogpsych.2003.12.002
- Noad M. J., Cato D. H., Bryden M. M., Jenner M. N., Jenner K. C. (2000). Cultural revolution in whale songs. Nature 408, 537. doi:10.1038/35046199
- Nottebohm F. (1976). Vocal tract and brain: a search for evolutionary bottlenecks. Ann. N.Y. Acad. Sci. 280, 643 – 649. doi:10.1111/j.1749-6632.1976.tb25526.x
- Nottebohm F. (1980). Brain pathways for vocal learning in birds: a review of the first ten years. Prog. Psychobiol. Physiol. Psychol. 9, 85 – 124.
- Nottebohm F., Stokes T. M., Leonard C. M. (1976). Central control of song in the canary, Serinus canarius. J. Comp. Neurol. 165, 457 – 486. doi:10.1002/cne.901650405
- Okanoya K. (2004). The Bengalese finch: a window on the behavioral neurobiology of birdsong syntax. Ann. N.Y. Acad. Sci. 1016, 724 – 735. doi:10.1196/annals.1298.026
- Ouattara K., Lemasson A., Zuberbuhler K. (2009). Campbell's monkeys concatenate vocalizations into context-specific call sequences. Proc. Natl. Acad. Sci. U.S.A. 106, 22026 – 22031. doi:10.1073/pnas.0908118106
- Owren M. J., Dieter J. A., Seyfarth R. M., Cheney D. L. (1992). ‘Food’ calls produced by adult female rhesus (Macaca mulatta) and Japanese (Macaca fuscata) macaques, their normally-raised offspring, and offspring cross-fostered between species. Behaviour 120, 218 – 231.
- Page S. L., Chiu C., Goodman M. (1999). Molecular phylogeny of Old World monkeys (Cercopithecidae) as inferred from gamma-globin DNA sequences. Mol. Phylogenet. Evol. 13, 348 – 359. doi:10.1006/mpev.1999.0653
- Pallier C., Devauchelle A. D., Dehaene S. (2011). Cortical representation of the constituent structure of sentences. Proc. Natl. Acad. Sci. U.S.A. 108, 2522 – 2527. doi:10.1073/pnas.1018711108
- Patel A. D., Iversen J. R., Bregman M. R., Schulz I. (2009a). Experimental evidence for synchronization to a musical beat in a nonhuman animal. Curr. Biol. 19, 827 – 830. doi:10.1016/j.cub.2009.03.038
- Patel A. D., Iversen J. R., Bregman M. R., Schulz I. (2009b). Studying synchronization to a musical beat in nonhuman animals. Ann. N.Y. Acad. Sci. 1169, 459 – 469. doi:10.1111/j.1749-6632.2009.04581.x
- Penfield W., Rasmussen T. (1949). Vocalization and arrest of speech. Arch. Neurol. Psychiatry 61, 21 – 27.
- Pepperberg I. M. (2010). Vocal learning in Grey parrots: a brief review of perception, production, and cross-species comparisons. Brain Lang. 115, 81 – 91. doi:10.1016/j.bandl.2009.11.002
- Perani D., Saccuman M. C., Scifo P., Awander A., Spada D., Baldoli C., Poloniato A., Lohmann G., Friederici A. D. (2011). Neural language networks at birth. Proc. Natl. Acad. Sci. U.S.A. 108, 16056 – 16061. doi:10.1073/pnas.1102991108
- Perrodin C., Kayser C., Logothetis N. K., Petkov C. I. (2011). Voice cells in the primate temporal lobe. Curr. Biol. 21, 1408 – 1415. doi:10.1016/j.cub.2011.07.028
- Perruchet P., Rey A. (2005). Does the mastery of center-embedded linguistic structures distinguish humans from nonhuman primates? Psychon. Bull. Rev. 12, 307 – 313.
- Petersson K. M., Folia V., Hagoort P. (2012). What artificial grammar learning reveals about the neurobiology of syntax. Brain Lang. 120, 83 – 95. doi:10.1016/j.bandl.2010.08.003
- Petkov C. I., Kayser C., Augath M., Logothetis N. K. (2006). Functional imaging reveals numerous fields in the monkey auditory cortex. PLoS Biol. 4: e215. doi:10.1371/journal.pbio.0040215
- Petkov C. I., Kayser C., Steudel T., Whittingstall K., Augath M., Logothetis N. K. (2008). A voice region in the monkey brain. Nat. Neurosci. 11, 367 – 374. doi:10.1038/nn2043
- Petkov C. I., Logothetis N. K., Obleser J. (2009). Where are the human speech and voice regions and do other animals have anything like them? Neuroscientist 15, 419 – 429. doi:10.1177/1073858408326430
- Petkov C. I., Wilson B. (2012). On the pursuit of the brain network for proto-syntactic learning in non-human primates: conceptual issues and neurobiological hypotheses. Philos. Trans. R. Soc. Lond. B Biol. Sci. 367, 2077 – 2088. doi:10.1098/rstb.2012.0073
- Phan M. L., Vicario D. S. (2010). Hemispheric differences in processing of vocalizations depend on early experience. Proc. Natl. Acad. Sci. U.S.A. 107, 2301 – 2306. doi:10.1073/pnas.0900091107
- Pinker S. (1994). The Language Instinct. New York, NY: William Morrow and Company, Inc.
- Pinker S., Jackendoff R. (2005). The faculty of language: what's special about it? Cognition 95, 201 – 236. doi:10.1016/j.cognition.2004.08.004
- Poirier C., Boumans T., Verhoye M., Balthazart J., Van Der Linden A. (2009). Own-song recognition in the songbird auditory pathway: selectivity and lateralization. J. Neurosci. 29, 2252 – 2258. doi:10.1523/JNEUROSCI.4650-08.2009
- Poole J. H., Tyack P. L., Stoeger-Horwath A. S., Watwood S. (2005). Animal behaviour: elephants are capable of vocal learning. Nature 434, 455 – 456. doi:10.1038/434455a
- Poremba A., Malloy M., Saunders R. C., Carson R. E., Herscovitch P., Mishkin M. (2004). Species-specific calls evoke asymmetric activity in the monkey's temporal poles. Nature 427, 448 – 451. doi:10.1038/nature02268
- Prather J. F., Peters S., Nowicki S., Mooney R. (2008). Precise auditory-vocal mirroring in neurons for learned vocal communication. Nature 451, 305 – 310. doi:10.1038/nature06492
- Ralls K., Fiorelli P., Gish S. (1985). Vocalizations and vocal mimicry in captive harmor seals, Phoca vitulina. Can. J. Zool. 63, 1050 – 1056.
- Rauschecker J. P. (1998). Cortical processing of complex sounds. Curr. Opin. Neurobiol. 8, 516 – 521. doi:10.1016/S0959-4388(98)80040-8
- Rauschecker J. P. (2011). An expanded role for the dorsal auditory pathway in sensorimotor control and integration. Hear. Res. 271, 16 – 25. doi:10.1016/j.heares.2010.09.001
- Rauschecker J. P. (2012). Ventral and dorsal streams in the evolution of speech and language. Front. Evol. Neurosci. 4: 7. doi:10.3389/fnevo.2012.00007
- Rauschecker J. P., Scott S. K. (2009). Maps and streams in the auditory cortex: nonhuman primates illuminate human speech processing. Nat. Neurosci. 12, 718 – 724. doi:10.1038/nn.2331
- Reber A. S. (1967). Implicit learning of artificial grammars. J. Verbal Learn. Verbal Behav. 6, 855 – 863.
- Rey A., Perruchet P., Fagot J. (2012). Centre-embedded structures are a by-product of associative learning and working memory constraints: evidence from baboons (Papio papio). Cognition 123, 180 – 184. doi:10.1016/j.cognition.2011.12.005
- Rilling J. K., Glasser M. F., Preuss T. M., Ma X., Zhao T., Hu X., Behrens T. E. (2008). The evolution of the arcuate fasciculus revealed with comparative DTI. Nat. Neurosci. 11, 426 – 428. doi:10.1038/nn2072
- Rizzolatti G., Arbib M. A. (1998). Language within our grasp. Trends Neurosci. 21, 188 – 194. doi:10.1016/S0166-2236(98)01260-0
- Romanski L. M., Tian B., Fritz J., Mishkin M., Goldman-Rakic P. S., Rauschecker J. P. (1999). Dual streams of auditory afferents target multiple domains in the primate prefrontal cortex. Nat. Neurosci. 2, 1131 – 1136. doi:10.1038/16056
- Rumbaugh D. M. (1977). Language Learning by a Chimpanzee. New York, NY: Academic Press.
- Saffran J. R., Aslin R. N., Newport E. L. (1996). Statistical learning by 8-month-old infants. Science 274, 1926 – 1928. doi:10.1126/science.274.5294.1926
- Saffran J. R., Johnson E. K., Aslin R. N., Newport E. L. (1999). Statistical learning of tone sequences by human infants and adults. Cognition 70, 27 – 52. doi:10.1016/j.cognition.2007.03.005
- Saranathan V., Hamilton D., Powell G. V., Kroodsma D. E., Prum R. O. (2007). Genetic evidence supports song learning in the three-wattled bellbird Procnias tricarunculata (Cotingidae). Mol. Ecol. 16, 3689 – 3702. doi:10.1111/j.1365-294X.2007.03415.x
- Schachner A., Brady T. F., Pepperberg I. M., Hauser M. D. (2009). Spontaneous motor entrainment to music in multiple vocal mimicking species. Curr. Biol. 19, 831 – 836. doi:10.1016/j.cub.2009.03.061
- Schmitt D. (2010). Primate locomotor evolution: Biomechanical studies of primate locomotion and their implications for understanding primate neuroethology, in Primate Neuroethology, eds Ghazanfar A. A., Platt M. L. (Oxford University Press), 10 – 30.
- Schusterman R. J. (2008). Vocal learning in mammals with special emphasis on pinnipeds, in The Evolution of Communicative Flexibility: Complexity, Creativity, and Adaptability in Human and Animal Communication, eds Oller D. K., Griebel U. (Cambridge, MA: MIT Press).
- Scott S. K., McGettigan C., Eisner F. (2009). A little more conversation, a little less action–candidate roles for the motor cortex in speech perception. Nat. Rev. Neurosci. 10, 295 – 302. doi:10.1038/nrn2603
- Seyfarth R. M., Cheney D. L. (1986). Vocal development in vervet monkeys. Anim. Behav. 34, 1640 – 1658.
- Seyfarth R. M., Cheney D. L., Marler P. (1980). Monkey responses to three different alarm calls: evidence of predator classification and semantic communication. Science 210, 801 – 803. doi:10.1126/science.7433999
- Shettleworth S. J. (2010). Cognition, Evolution, and Behavior. Oxford: Oxford University Press.
- Sibley C. G., Ahlquist J. E. (1990). Phylogeny and Classification of Birds. New Haven, Connecticut: Yale University Press.
- Simonyan K., Horwitz B. (2011). Laryngeal motor cortex and control of speech in humans. Neuroscientist 17, 197 – 208. doi:10.1177/1073858410386727
- Simonyan K., Jurgens U. (2003). Efferent subcortical projections of the laryngeal motorcortex in the rhesus monkey. Brain Res. 974, 43 – 59. doi:10.1016/S0006-8993(03)02548-4
- Simões C. S., Vianney P. V. R., de Moura M. M., Freire M. A. M., Mello L. E., Sameshima K., Araújo J. F., Nicolelis M. A. L., Mello C. V., Ribeiro S. (2010). Activation of frontal neocortical areas by vocal production in marmosets. Front. Integr. Neurosci. 4: 123 doi:10.3389/fnint.2010.00123
- Simpson H. B., Vicario D. S. (1990). Brain pathways for learned and unlearned vocalizations differ in zebra finches. J. Neurosci. 10, 1541 – 1556.
- Snowdon C. T. (2009). Plasticity of communication in nonhuman primates, in Advances in the Study of Behavior, eds Naguib M., Janik V. M. (Burlington, NJ: Academic Press), 239 – 276.
- Sugiura H. (1998). Matching of acoustic features during the vocal exchange of coo calls by Japanese macaques. Anim. Behav. 55, 673 – 687.
- Suh A., Paus M., Kiefmann M., Churakov G., Franke F. A., Brosius J., Kriegs J. O., Schmitz J. (2011). Mesozoic retroposons reveal parrots as the closest living relatives of passerine birds. Nat. Commun. 2, 443. doi:10.1038/ncomms1448
- Taglialatela J. P., Russell J. L., Schaeffer J. A., Hopkins W. D. (2011). Chimpanzee vocal signaling points to a multimodal origin of human language. PLoS ONE 6: e18852. doi:10.1371/journal.pone.0018852
- Tallerman M. (2011). What is syntax?, in The Oxford Handbook of Language Evolution, eds Tallerman M., Gibson K. R. (Oxford: Oxford University Press), 442 – 455.
- Ten Cate C., Okanoya K. (2012). Revisiting the syntactic abilities of non-human animals: natural vocalizations and artificial grammar learning. Philos. Trans. R. Soc. Lond. B Biol. Sci. 367, 1984 – 1994. doi:10.1098/rstb.2012.0055
- Teufel C., Ghazanfar A. A., Fischer J. (2010). On the relationship between lateralized brain function and orienting asymmetries. Behav. Neurosci. 124, 437 – 445. doi:10.1037/a0019925
- Tian B., Reser D., Durham A., Kustov A., Rauschecker J. P. (2001). Functional specialization in rhesus monkey auditory cortex. Science 292, 290 – 293. doi:10.1126/science.1058911
- Tomasello M., Savage-Rumbaugh S., Kruger A. C. (1993). Imitative learning of actions on objects by children, chimpanzees, and enculturated chimpanzees. Child Dev. 64, 1688 – 1705.
- Troyer T. W., Doupe A. J. (2000). An associational model of birdsong sensorimotor learning I. Efference copy and the learning of song syllables. J. Neurophysiol. 84, 1204 – 1223.
- Turing A. (1968). Intelligent machinery, in Cybernetics: Key Papers, eds Evans C. R., Robertson A. D. J. (Baltimore, MD: University Park Press).
- Tyler L. K., Marslen-Wilson W. D., Randall B., Wright P., Devereux B. J., Zhuang J., Papoutsi M., Stamatakis E. A. (2011). Left inferior frontal cortex and syntax: function, structure and behaviour in patients with left hemisphere damage. Brain 134, 415 – 431. doi:10.1093/brain/awq369
- Uddén J., Ingvar M., Hagoort P., Petersson K. M. (2012). Implicit acquisition of grammars with crossed and nested non-adjacent dependencies: investigating the push-down stack model. Cogn. Sci. [Epub ahead of print]. doi:10.1111/j.1551-6709.2012.01235.x
- van Heijningen C. A., De Visser J., Zuidema W., Ten Cate C. (2009). Simple rules can explain discrimination of putative recursive syntactic structures by a songbird species. Proc. Natl. Acad. Sci. U.S.A. 106, 20538 – 20543. doi:10.1073/pnas.0908113106
- Vates G. E., Broome B. M., Mello C. V., Nottebohm F. (1996). Auditory pathways of caudal telencephalon and their relation to the song system of adult male zebra finches. J. Comp. Neurol. 366, 613 – 642. doi:10.1002/(SICI)1096-9861(19960318)366:4<613::AID-CNE5>3.0.CO;2-7
- Wich S. A., Swartz K. B., Hardus M. E., Lameira A. R., Stromberg E., Shumaker R. W. (2009). A case of spontaneous acquisition of a human sound by an orangutan. Primates 50, 56 – 64. doi:10.1007/s10329-008-0117-y
- Wild J. M. (1997). Neural pathways for the control of birdsong production. J. Neurobiol. 33, 653 – 670. doi:10.1002/(SICI)1097-4695(19971105)33:5<653::AID-NEU11>3.0.CO;2-A
- Williams H., Nottebohm F. (1985). Auditory responses in avian vocal motor neurons: a motor theory for song perception in birds. Science 229, 279 – 282. doi:10.1126/science.4012321
- Wilson B., Collison M. G., Slater H., Smith K., Marslen-Wilson W., Petkov C. (2011). Behaviour and functional imaging of ‘artificial-grammar’ sequence learning in rhesus macaques. Soc. Neurosci. Abstr. Program No: 173.18 (p. 53).
- Yip Z. C., Miller-Sims V. C., Bottjer S. W. (2012). Morphology of axonal projections from the high vocal center to vocal motor cortex in songbirds. J. Comp. Neurol. 520, 2742 – 2756. doi:10.1002/cne.23084
- Zimmerman E. (1989). Aspects of reproduction and behavioral and vocal development in Senegal bushbabies (Galago senegalensis). Int. J. Primatol. 10, 1 – 16.
Citation
Petkov, C. I. & Jarvis, E. D. (2012). Birds, primates, and spoken language origins: behavioral phenotypes and neurobiological substrates. Frontiers in Evolutionary Neuroscience, Volume 4. https://doi.org/
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- 4 - 2012
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Copyright © 2012 Petkov and Jarvis.
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*Correspondence: Christopher I. Petkov; Erich D. Jarvis
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