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Frontiers in Evolutionary Neuroscience ·

Volume 4 - 2012 | https://doi.org/10.3389/fnevo.2012.00005

A Bird’s Eye View of Human Language Evolution

  • Robert C. Berwick1,2*corresponding author
  • Gabriël J. L. Beckers3
  • Kazuo Okanoya4
  • Johan J. Bolhuis5
  1. 11 Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology Cambridge, MA, USA
  2. 22 Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology Cambridge, MA, USA
  3. 33 Department of Behavioural Neurobiology, Max Planck Institute for Ornithology Seewiesen, Germany
  4. 44 Department of Cognitive and Behavioral Sciences, The University of Tokyo Tokyo, Japan
  5. 55 Behavioural Biology, Helmholtz Institute, University of Utrecht Utrecht, The Netherlands
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Abstract

Comparative studies of linguistic faculties in animals pose an evolutionary paradox: language involves certain perceptual and motor abilities, but it is not clear that this serves as more than an input–output channel for the externalization of language proper. Strikingly, the capability for auditory–vocal learning is not shared with our closest relatives, the apes, but is present in such remotely related groups as songbirds and marine mammals. There is increasing evidence for behavioral, neural, and genetic similarities between speech acquisition and birdsong learning. At the same time, researchers have applied formal linguistic analysis to the vocalizations of both primates and songbirds. What have all these studies taught us about the evolution of language? Is the comparative study of an apparently species-specific trait like language feasible? We argue that comparative analysis remains an important method for the evolutionary reconstruction and causal analysis of the mechanisms underlying language. On the one hand, common descent has been important in the evolution of the brain, such that avian and mammalian brains may be largely homologous, particularly in the case of brain regions involved in auditory perception, vocalization, and auditory memory. On the other hand, there has been convergent evolution of the capacity for auditory–vocal learning, and possibly for structuring of external vocalizations, such that apes lack the abilities that are shared between songbirds and humans. However, significant limitations to this comparative analysis remain. While all birdsong may be classified in terms of a particularly simple kind of concatenation system, the regular languages, there is no compelling evidence to date that birdsong matches the characteristic syntactic complexity of human language, arising from the composition of smaller forms like words and phrases into larger ones.

Keywords

References

  1. Abe K., Watanabe D. (2011). Songbirds possess the spontaneous ability to discriminate syntactic rules. Nat. Neurosci. 14, 1067 – 1074. doi:10.1038/nn.2869
  2. Angluin D. (1982). Inference of reversible languages. J. Assoc. Comput. Mach. 29, 741 – 765. doi:10.1145/322326.322334
  3. Aristotle. (1984). Historia Animalium, trans. Peck J. Cambridge, MA: Harvard University Press [Loeb Classical Library].
  4. Arregui A., Clifton C., Frazier L., Moulton K. (2006). Processing elided verb phrases with flawed antecedents. J. Mem. Lang. 55, 232 – 246. doi:10.1016/j.jml.2006.02.005
  5. Bartlett M., Kazakov D. (2005). The origins of syntax: from navigation to language. Conn. Sci. 17, 271 – 288. doi:10.1080/09540090500282479
  6. Barton E., Ristad E., Berwick R. (1987). Computational Complexity and Natural Language. Cambridge, MA: MIT Press.
  7. Beckers G. J. L., Bolhuis J. J., Okanoyoa K., Berwick R. (2012). Birdsong neurolinguistics: songbird context-free grammar claim is premature. Neuroreport 23, 139 – 145. doi:10.1097/WNR.0b013e32834f1765
  8. Berwick R. (1982). Locality Principles and the Acquisition of Syntactic Knowledge. Cambridge: MIT Doctoral Dissertation, MIT.
  9. Berwick R. (1985). Locality Principles and the Acquisition of Syntactic Knowledge. Cambridge: MIT Press.
  10. Berwick R. (2011). “All you need is merge: biology, computation, and language from the bottom-up,” in The Biolinguistic Enterprise, eds Di Sciullo A. M., Boecxk C. (Oxford: Oxford University Press), 706 – 825.
  11. Berwick R., Beckers G. J. L., Okanoyoa K., Bolhuis J. J. (2011a). Songs to syntax: the linguistics of birdsong. Trends Cogn. Sci. 15, 113 – 121. doi:10.1016/j.tics.2011.01.002
  12. Berwick R., Chomsky N. (2011). “Biolinguistics: the current state of its development,” in The Biolinguistic Enterprise, eds Di Sciullo A. M., Boeckx C. (Oxford: Oxford University Press).
  13. Berwick R., Pietroski P., Yankama B., Chomsky N. (2011b). Poverty of the stimulus revisited. Cogn. Sci. 35, 1207 – 1242. doi:10.1111/j.1551-6709.2011.01189.x
  14. Berwick R., Pilato S. (1987). Learning syntax by automata induction. J. Mach. Learn. Res. 2, 9 – 38. doi:10.1007/BF00058753
  15. Berwick R., Weinberg A. (1985). The Grammatical Basis of Linguistic Performance. Cambridge, MA: MIT Press.
  16. Bever T. (1970). “The cognitive basis of linguistic structures,” in Cognition and the Development of Language, ed. Hayes J. R. (New York: Wiley), 279 – 362.
  17. Bijeljac-Babic R., Bertoncini J., Mehler J. (1993). How do 4-day-old infants categorize multisyllabic utterances? Dev. Psychol. 29, 711 – 721. doi:10.1037/0012-1649.29.4.711
  18. Bloomfield L. (1933). Language. New York: Holt.
  19. Bolhuis J. J., Eda-Fujiwara H. (2003). Bird brains and songs: neural mechanisms of birdsong perception and memory. Anim. Biol. 53, 129 – 145. doi:10.1163/157075603769700331
  20. Bolhuis J. J., Eda-Fujiwara H. (2010). Birdsong and the brain: the syntax of memory. Neuroreport 21, 395 – 398. doi:10.1097/WNR.0b013e3283385949
  21. Bolhuis J. J., Gahr M. (2006). Neural mechanisms of birdsong memory. Nat. Rev. Neurosci. 7, 347 – 357. doi:10.1038/nrm1910
  22. 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/nrg2892
  23. Bolker J., Raff R. (1996). Developmental genetics and traditional homology. Bioessays 18, 489 – 494. doi:10.1002/bies.950180611
  24. Brainard M. S., Doupe A. J. (2000). Interruption of a basal ganglia-forebrain circuit prevents plasticity of learned vocalizations. Nature 404, 762 – 766. doi:10.1038/35008083
  25. Brainard M. S., Doupe A. J. (2002). What songbirds teach us about learning. Nature 417, 351 – 358. doi:10.1038/417351a
  26. Brauer J., Anwander A., Friederici A. (2011). Neuroanatomical prerequisites for language functions in the maturing brain. Cereb. Cortex 21, 459 – 466. doi:10.1093/cercor/bhq108
  27. Chater N., Christiansen M. H. (2010). Language acquisition meets language evolution. Cogn. Sci. 34, 1131 – 1157. doi:10.1111/j.1551-6709.2009.01049.x
  28. Chomsky N. (1955). The Logical Structure of Linguistic Theory. Chicago: University of Chicago Press.
  29. Chomsky N. (1956). Three models for the description of language. IEEE Transactions on Information Theory 2, 113 – 124. doi:10.1109/TIT.1956.1056813
  30. Chomsky N. (1957). Syntactic Structures. The Hague: Mouton.
  31. Chomsky N. (1963). “Formal properties of grammar,” in Handbook of Mathematical Psychology, eds Luce D., Bush R., Galanter E. (New York: Wiley), 323 – 418.
  32. Chomsky N. (1965). Aspects of the Theory of Syntax. Cambridge, MA: MIT Press.
  33. Chomsky N. (1995). The Minimalist Program. Cambridge, MA: MIT Press.
  34. Chomsky N., Miller G. (1963). “Finitary models of language users,” in Handbook of Mathematical Psychology, eds Luce R., Bush R., Galanter E. (New York: Wiley), 419 – 491.
  35. Corballis M. C. (2007). Recursion, language and starlings. Cogn. Sci. 31, 697 – 704. doi:10.1080/15326900701399947
  36. Crain S., Nakayama M. (1987). Structure dependence in question formation. Language 62, 522 – 543. doi:10.2307/415004
  37. Culicover P., Jackendoff R. (2005). Simpler Syntax. Oxford: Oxford University Press.
  38. De Marcken C. (1995). “Lexical heads, phrase structure and the induction of grammar,” in Proceedings of the Third Workshop on Very Large Corpora, eds Yarowsky D., Church K. (Cambridge: Association for Computational Linguistics), 14 – 26.
  39. De Marcken C. (1996). Unsupervised Language Acquisition. Ph.D. dissertation, MIT, Cambridge.
  40. Dehaene S. (1997). The Number Sense. Oxford: Oxford University Press.
  41. Dehaene-Lambertz G., Hertz-Pannier L., Dubois J., Mériaux S., Roche A., Sigman M., Dehaene S. (2006). Functional organization of perisylvian activation during presentation of sentences in preverbal infants. Proc. Natl. Acad. Sci. U.S.A. 103, 14240 – 14245. doi:10.1073/pnas.0606302103
  42. Di Sciullo A. M. (2003). Asymmetry in Grammar: Syntax and Semantics. New York: John Benjamins.
  43. Doupe A. J., Perkel D. J., Reiner A., Stern E. A. (2005). Birdbrains could teach basal ganglia research a new song. Trends Neurosci. 28, 353 – 363. doi:10.1016/j.tins.2005.05.005
  44. Dulai K., von Dornum M., Mollon J. D., Hunt D. M. (1999). The evolution of trichromatic colour vision by opsin gene duplication. Genome Res. 9, 629 – 638.
  45. Elemans C. P. H., Mead A. F., Jakobson L., Ratcliffe J. M. (2011). Superfast muscles set maximum call rate in echolocating bats. Science 333, 1885 – 1888. doi:10.1126/science.1207309
  46. Fee M., Kozhevnikov A., Hahnloser R. H. (2004). Neural mechanisms of vocal sequence generation in the songbird. Ann. N. Y. Acad. Sci. 1016, 153 – 170. doi:10.1196/annals.1298.022
  47. Feher O., Wang H., Saar S., Mitra P. P., Tchernichovski O. (2009). De novo establishment of wild-type song culture in the zebra finch. Nature 459, 564 – 568. doi:10.1038/nature07994
  48. Fisher S. E., Scharff C. (2009). FOXP2 as a molecular window into speech and language. Trends Genet. 25, 166 – 177. doi:10.1016/j.tig.2009.03.002
  49. Fisher S. E., Vargha-Khadem F., Watkins K. E., Monaco A. P., Pembrey M. E. (1998). Localisation of a gene implicated in a severe speech and language disorder. Nat. Genet. 18, 168 – 170. doi:10.1038/ng0298-168
  50. Fitch W. T. (2005). The evolution of language: a comparative review. Biol. Philos. 20, 193 – 203. doi:10.1007/s10539-005-5597-1
  51. Fitch W. T. (2006). The biology and evolution of music: a comparative perspective. Cognition 100, 173 – 215. doi:10.1016/j.cognition.2005.11.009
  52. Fitch W. T. (2010). The Evolution of Language. Cambridge: Cambridge University Press.
  53. Fitch W. T. (2011). “‘Deep homology’ in the biology and evolution of Language,” in The Biolinguistic Enterprise: New Perspectives on the Evolution and Nature of the Human Language Faculty, eds Di Sciullo A. M., Boeckx C. (Oxford: Oxford University Press), 135 – 166.
  54. Fitch W. T., Hauser M. (2004). Computational constraints on syntactic processing in a nonhuman primate. Science 303, 377 – 380. doi:10.1126/science.1089401
  55. Fodor J. A. (1996). The pet fish and the red herring: why concepts aren’t prototypes, Cognition 58, 243 – 276. doi:10.1016/0010-0277(95)00694-X
  56. Fong S., Di Sciullo A.-M. (2005). “Morpho-syntax parsing,” in UG and External Systems, eds Di Sciullo A.M., Delmonte R. (Amsterdam: John Benjamins), 247 – 268.
  57. Friederici A., Bahlmann J., Friederich R., Makuuchi M. (2011). The neural basis of recursion and complex syntactic hierarchy. Biolinguistics 5, 87 – 104.
  58. Friederici A. D., Brauer J. (2009). “Syntactic complexity in the brain,” in Syntactic Complexity: Diachrony, Acquisition, Neurocognition, Evolution, eds Givon T., Shibatani M. (Amsterdam: John Benjamins), 491 – 506.
  59. 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
  60. Gentner T. Q., Hulse S. H. (1998). Perceptual mechanisms for individual recognition in European starlings (Sturnus vulgaris). Anim. Behav. 56, 579 – 594. doi:10.1006/anbe.1998.0810
  61. Gobes S. M. H., Bolhuis J. J. (2007). Bird song memory: a neural dissociation between song recognition and production. Curr. Biol. 17, 789 – 793. doi:10.1016/j.cub.2007.03.059
  62. Gobes S. M. H., Zandbergen M. A., Bolhuis J. J. (2010). Memory in the making: localized brain activation related to song learning in young songbirds. Proc. R. Soc. Lond. B Biol. Sci. B 277, 3343 – 3351. doi:10.1098/rspb.2010.0870
  63. Gold E. (1978). Complexity of automaton identification from given data. Inform. Contr. 37, 302 – 320. doi:10.1016/S0019-9958(78)90562-4
  64. Goldberg A. (2006). Constructions at Work. Oxford: Oxford University Press.
  65. Haesler S., Wada K., Nshdejan A., Edward E., Morrisey E., Lints T., Jarvis E. D., Scharff C. (2004). FoxP2 expression in avian vocal learners and non-learners. J. Neurosci. 24, 3164 – 3175. doi:10.1523/JNEUROSCI.4369-03.2004
  66. Halder G., Callaerts P., Gehring W. J. (1995). New perspectives on eye evolution. Curr. Opin. Genet. Dev. 5, 602 – 609. doi:10.1016/0959-437X(95)80029-8
  67. Halle M., Chomsky N. (1968). The Sound Patterns of English. New York: Harcourt-Brace.
  68. Halle M., Idsardi W. J. (1995). “General properties of stress and metrical structure,” in A Handbook of Phonological Theory, ed. Goldsmith J. (Oxford: Blackwell), 403 – 443.
  69. Heinz J. (2010). Learning long-distance phonotactics. Linguistic Inquiry 41, 623 – 661. doi:10.1162/LING_a_00015
  70. Heinz J., Idsardi W. (2011). Sentence and sound complexity. Science 333, 295 – 297. doi:10.1126/science.1210358
  71. Hopcroft J., Ullman J. (1979). Introduction to Automata Theory, Languages, and Computation. Reading, MA: Addison-Wesley.
  72. Horning J. (1969). A Study of Grammatical Inference. Ph.D. dissertation, Stanford University, Stanford.
  73. Hsu A. S., Chater N., Vitanyi P. M. B. (2011). The probabilistic analysis of language acquisition: theoretical, computational, and experimental analysis. Cognition 120, 380 – 390. doi:10.1016/j.cognition.2011.02.013
  74. Hurford J. R. (2011). The Origins of Grammar. Oxford: Oxford University Press.
  75. Huybregts M. A. C. (1984). “The weak adequacy of context-free phrase structure grammar,” in Van Periferie Naar Kern, eds de Haan G. J., Trommelen M., Zonneveld W. (Dordrecht, Foris), 81 – 99.
  76. Ikebuchi M., Okanoya K. (2000). Limited memory for conspecific songs in a non-territorial songbird. Neuroreport 11, 3915 – 3919. doi:10.1097/00001756-200011270-00061
  77. Imada T., Zhang Y., Cheour M., Taulu S., Ahonen A., Kuhl P. K. (2006). Infant speech perception activates Broca’s area: a developmental magnetoencephalography study. Neuroreport 17, 957 – 962. doi:10.1097/01.wnr.0000223387.51704.89
  78. Jackendoff R. (1977). X-Bar Syntax: A Theory of Phrase Structure. Cambridge, MA: MIT Press.
  79. Jackendoff R. (2010). “Your theory of language evolution depends on your theory of language,” in The Evolution of Human Languages: Biolinguistic Perspectives, eds Larson R., Deprez V., Yamakido H. (Cambridge: Cambridge University Press), 63 – 72.
  80. Jarvis E. D. (2007). Neural systems for vocal learning in birds and humans: a synopsis. J. Ornithol. 148, 35 – 54. doi:10.1007/s10336-007-0243-0
  81. Jarvis E. D., Güntürkün 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. Avian Brain Nomenclature Consortium. (2005). Avian brains and a new understanding of vertebrate brain evolution. Nat. Rev. Neurosci. 6, 151 – 159. doi:10.1038/nrn1606
  82. 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
  83. Jarvis E. D., Ribeiro S., da Silva M., Ventura D., Vielliard J., Mello C. (2000). Behaviourally driven gene expression reveals song nuclei in hummingbird brain. Nature 406, 628 – 632. doi:10.1038/35020570
  84. Kakishita Y., Sasahara K., Nishino T., Takahasi M., Okanoya K. (2009). Ethological data mining: an automata-based approach to extract behavioural units and rules. Data Min. Knowl. Discov. 18, 446 – 471. doi:10.1007/s10618-008-0122-1
  85. Katahira K., Suzuki K., Okanoya K., Okada M. (2011). Complex sequencing rules of birdsong can be explained by simple hidden Markov processes. PLoS ONE 6, e24516. doi:10.1371/journal.pone.0024516
  86. Kayne R. S. (1994). The Antisymmetry of Syntax. Cambridge: MIT Press.
  87. Kleene S. (1953). Introduction to Metamathematics. Amsterdam: North-Holland.
  88. Kleene S. C. (1956). “Representation of events in nerve nets and finite automata,” in Automata Studies, eds Shannon C., Ashby W. (Princeton: Princeton University Press), 3 – 42.
  89. Lambek J. (1958). The mathematics of sentence structure. Am. Math. Mon. 65, 154 – 170. doi:10.2307/2310058
  90. Langendoen T. (1975). Finite-state parsing of phrase-structure languages and the status of readjustment rules in the lexicon. Linguist. Inq. 6, 533 – 554.
  91. Lasnik H. (2000). Syntactic Structures Revisited. Cambridge, MA: MIT Press.
  92. Laurin M., Reisz R. (1995). A re-evaluation of early amniote phylogeny. Zool. J. Linn. Soc. 113, 165 – 223. doi:10.1111/j.1096-3642.1995.tb00932.x
  93. Marantz A. (1982). Re-reduplication. Linguist. Inq. 13, 435 – 482.
  94. Marler P. (1998) “Animal communication and human language,” in The Origin and Diversification of Human Language, eds Jablonski N. G., Aiello L. E. (San Francisco, CA: California Academy of Sciences), 1 – 19.
  95. Mauner G. A., Tanenhaus M. K., Carlson G. N. (1995). A note on parallelism effects on processing verb phrase anaphors. Lang. Cogn. Process. 10, 1 – 12. doi:10.1080/01690969508407085
  96. McNaughton R., Yamada H. (1960). Regular expressions and state graphs for automata. IEEE Trans. Electr. Comput. 9, 39 – 47. doi:10.1109/TEC.1960.5221603
  97. Miller G., Chomsky N. (1963). “Finitary models of language users,” in Handbook of Mathematical Psychology, Vol. 2, eds Luce D., Bush R., Galanter E. Eugene (New York: Wiley), 419 – 491.
  98. Miller G. A., Isard S. (1964). Free recall of self-embedded English sentences. Inform. Contr. 7, 292 – 303. doi:10.1016/S0019-9958(64)90310-9
  99. Minsky M. (1967). Computation: Finite and Infinite Machines. Englewood Cliffs, NJ: Prentice-Hall.
  100. Mooney R. (2009). Neural mechanisms for learned birdsong. Learn. Mem. 16, 655 – 669. doi:10.1101/lm.1065209
  101. Moorman S., Mello C. V., Bolhuis J. J. (2011). From songs to synapses: molecular mechanisms of birdsong memory. Bioessays 33, 377 – 385. doi:10.1002/bies.201000150
  102. Moro A. (2000). Dynamic Antisymmetry. Cambridge: MIT Press.
  103. Moro A. (2008). The Boundaries of Babel: The Brain and the Enigma of Impossible Languages. Cambridge, MA: MIT Press.
  104. Moro A. (2011). A closer look at the turtle’s eyes. Proc. Natl. Acad. Sci. U.S.A. 108, 2177 – 2178. doi:10.1073/pnas.1019723108
  105. Musso M., Moro A., Glauche V., Rijntjes M., Reichenbach J., Büchel C., Weiller C. (2003). Broca’s area and the language instinct. Nat. Neuro. 6, 774 – 781. doi:10.1038/nn1077
  106. Niyogi P. (2006). The Computational and Evolutionary Nature of Language. Cambridge, MA: MIT Press.
  107. Okanoya K. (2007). Language evolution and an emergent property. Curr. Opin. Neurobiol. 17, 271 – 276. doi:10.1016/j.conb.2007.03.011
  108. Oldfield J., Williams K., Wiseman N. (1987). Content-addressable memories for storing and processing recursively subdivided images and tress. Electron. Lett. 23, 262 – 263. doi:10.1049/el:19870191
  109. 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
  110. Perfors A., Reiger C., Tenenbaum J. (2010). The learnability of abstract syntactic principles. Cognition 3, 306 – 338.
  111. Perruchet P., Rey A. (2005). Does the mastery of center-embedded linguistic structures distinguish humans? Psychon. Bull. Rev. 12, 207 – 313. doi:10.3758/BF03196377
  112. 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
  113. Petitto L. A. (2005). “How the brain 2732 begets language,” in The Cambridge Companion to Chomsky, ed. McGilvray J. (Cambridge: Cambridge University Press), 84 – 101.
  114. Petitto L. A., Holowka S., Sergio L., Levy B., Ostry D. (2004). Baby hands that move to the rhythm of language: hearing babies acquiring sign languages babble silently on the hands. Cognition 9, 43 – 73. doi:10.1016/j.cognition.2003.10.007
  115. Petri J., Scharff C. (2011). Evo-devo, deep homology and FoxP2: implications for the evolution of speech and language. Phil. Trans. R. Soc. B 1574, 2124 – 2140.
  116. Pulvermüller F. (1993). “On conecting syntax and the brain,” in Brain Theory – Spatio-Temporal Aspects of Brain Function, ed. Aertsen (New York: Elsevier), 131 – 145.
  117. Pulvermüller F., Knoblauch A. (2009). Discrete combinatorial circuits emerging in neural networks: a mechanism for rules of grammar in the human brain? Neural. Netw. 22, 161 – 172. doi:10.1016/j.neunet.2009.01.009
  118. Rabin M., Scott D. (1959). Finite automata and their decision problems. IBM J. Res. Dev. 3, 114. doi:10.1147/rd.32.0114
  119. Radford A. (1997). Syntactic Theory and the Structure of English: A Minimalist Approach. Cambridge: Cambridge University Press.
  120. Riebel K., Slater P. J. B. (2003). Temporal variation in male chaffinch song depends on the singer and the song type. Behaviour 140, 269 – 288. doi:10.1163/156853903321671532
  121. Rogers J., Pullum G. K. (2011). Aural pattern recognition experiments and the subregular hierarchy. J. Log. Lang. Inform. 20, 329 – 342. doi:10.1007/s10849-011-9140-2
  122. Saffran J., Aslin R., Newport E. (1996). Statistical learning by 8-month-old infants. Science 274, 1926 – 1928. doi:10.1126/science.274.5294.1926
  123. Sag I. A., Wasow T., Bender E. (2003). Syntactic Theory: A Formal Introduction, 2nd Edn. Stanford: CSLI Publications.
  124. Sasahara K., Kakishita Y., Nishino T., Takahasi M., Okanoya K. (2006). “A reversible automata approach to modeling birdsongs,” in Proceedings of 15th International Conference on Computing (CIC2006) (New York: IEEE Computer Society Press), 80 – 85.
  125. Scharff C., Petri J. (2011). Evo-devo, deep homology and FoxP2: implications implications for the evolution of speech and language. Philos. Trans. R. Soc. Lond. B Biol. Sci. 366, 2124 – 2140. doi:10.1098/rstb.2011.0001
  126. Shettleworth S. J. (2010). Cognition, Evolution, and Behavior. Oxford: Oxford University Press.
  127. Shubin N., Tabin C., Carroll S. (1997). Fossils, genes and the evolution of animal limbs. Nature 388, 639 – 648. doi:10.1038/41710
  128. Shukla M., White K. S., Aslin R. N. (2011). Prosody guides the rapid mapping of auditory word forms onto visual objects in 6-mo-old infants. Proc. Natl. Acad. Sci. U.S.A. 108, 6038 – 6043. doi:10.1073/pnas.1017617108
  129. Sipser M. (1997). Introduction to the Theory of Computation. Boston, MA: PWS Publishing.
  130. Solomonoff R. (1964). A formal theory of inductive inference. Inform. Contr. 7, 1 – 22. doi:10.1016/S0019-9958(64)90131-7
  131. Stolcke A. (1994). Bayesian Learning of Probabilistic Learning Models. Ph.D. dissertation, Stanford University, Stanford.
  132. Steedman M. (2000). The Syntactic Process. Cambridge, MA: MIT Press.
  133. Stevens K. (2000). Acoustic Phonetics. Cambridge, MA: MIT Press.
  134. Suge R., Okanoya K. (2010). Perceptual chunking in the self-produced songs of Bengalese Finches (Lonchura striata var. domestica). Anim. Cogn. 13, 515 – 523. doi:10.1007/s10071-009-0302-4
  135. Suh A., Paus M., Kiefmann M., Churakov G., Franke F., Brosius J., Kriegs J., Schmitz J. (2011). Mesozoic retroposons reveal parrots as the closest living relatives of passerine birds. Nat. Commun. 2, 1 – 7. doi:10.1038/ncomms1448
  136. Todt D., Hultsch H. (1996). “Acquisition and performance of repertoires: ways of coping with diversity and versatility,” in Ecology and Evolution of Communication, eds Kroodsma D. E., Miller E. H. (Ithaca, NY; Cornell University Press), 79 – 96.
  137. Uddén J., Ingvar M., Hagoort P., Petersson K. (2011). Implicit acquisition of grammars with crossed and nested non-adjacent dependencies: investigating the push-down stack model. Cogn. Sci. (in press).
  138. Vernes S. C., Oliver P. L., Spiteri E., Lockstone H. E., Puliyadi R., Taylor J. M., Ho J., Mombereau C., Brewer A., Lowy E., Nicod J., Groszer M., Baban D., Sahgal N., Cazier J.-B., Ragoussis J., Davies K. E., Geschwind D. H., Fisher S. E. (2011). Foxp2 regulates gene networks implicated in neurite outgrowth in the developing brain. PLoS Genet. 7, e1002145. doi:10.1371/journal.pgen.1002145
  139. Webb D., Zhang J. (2005). FoxP2 in song-learning birds and vocal-learning mammals. J. Hered. 96, 212 – 216. doi:10.1093/jhered/esi025
  140. Weir D. (1988). Characterizing Mildly-Context Sensitive Grammar Formalisms. Ph.D. dissertation, University of Pennsylvania, Philadelphia.
  141. Wohlgemuth M. J., Sober S., Brainard M. S. (2010). Linked control of syllable sequence and phonology in birdsong. J. Neurosci. 29, 12936 – 12949. doi:10.1523/JNEUROSCI.2690-10.2010
  142. Woods W. (1970). Transition network grammars for natural language analysis. Commun. ACM 13, 591 – 606. doi:10.1145/362686.362695
  143. Yip M. (2006). The search for phonology in other species. Trends Cogn. Sci. 10, 442 – 446. doi:10.1016/j.tics.2006.08.001

Citation

Berwick, R. C., et al. (2012). A Bird’s Eye View of Human Language Evolution. Frontiers in Evolutionary Neuroscience, Volume 4. https://doi.org/
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4 - 2012

Copyright

Copyright © 2012 Berwick, Beckers, Okanoya and Bolhuis.

License: http://www.frontiersin.org/licenseagreement

*Correspondence: Robert C. Berwick

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