Are There Species-Universal Categories in Bird Song Phonology and Syntax? A Comparative Study of Chaffinches (Fringilla coelebs), Zebra Finches (Taenopygia guttata), and Swamp Sparrows (Melospiza georgiana)

Journal of Comparative Psychology

Volumn 124, Issue 1, 2010, Pages 92-108

  Lachlan, R F ^a   Verhagen, L ^a   Peters, S ^b   ten Cate, C ^a  

^a LEIDEN UNIVERSITY   (Netherlands)

^b DUKE UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

bird song; categories; phonology; syntax; vocal communication

Indexed keywords

ANIMAL; ARTICLE; COMPARATIVE STUDY; HUMAN; MALE; METHODOLOGY; PHYSIOLOGY; SONGBIRD; SOUND DETECTION; SPECIES DIFFERENCE; VALIDATION STUDY; VOCALIZATION;

ANIMALS; HUMANS; MALE; SONGBIRDS; SOUND SPECTROGRAPHY; SPECIES SPECIFICITY; VOCALIZATION, ANIMAL;

EID: 77649149665     PISSN: 07357036     EISSN: None     Source Type: Journal    
DOI: 10.1037/a0016996     Document Type: Article

References (53)

1. Baker M.C., and Boylan J.T. A catalog of song syllables of indigo and lazuli buntings. The Condor 97 (1995) 1028-1040
2. Balaban E. Bird song syntax: Learned intraspecific variation is meaningful. Proceedings of the National Academy of Science USA 85 (1988) 3657-36660
3. Brémond J.-C. Comparaison entre l'apprentissage du chant chez le jeune pinson (Fringilla coelebs) et les elements réactogènes du chant territorial de l'adulte [Comparison between the juvenile song of the chaffinch (Fringilla coelebs) and the resulting elements of the territorial song of the adult]. Revue de Comportement Animal 6 (1972) 191-195
4. Clark C.W., Marler P., and Beeman K. Quantitative analysis of animal vocal phonology: An application to swamp sparrow song. Ethology 76 (1987) 101-115
5. Dobson C.W., and Lemon R.E. Markov sequences in songs of American thrushes. Behaviour 68 (1979) 86-105
6. Doupe A.J., and Kuhl P.K. Birdsong and human speech: Common themes and mechanisms. Annual Review of Neuroscience 22 (1999) 567-631
7. Franz M., and Goller F. Respiratory units of motor production and song imitation in the zebra finch. Journal of Neurobiology 51 (2002) 129-141
8. Franz M., and Goller F. Respiratory patterns and oxygen consumption in singing zebra finches. Journal of Experimental Biology 206 (2003) 967-978
9. Gil D., Naguib M., Riebel K., Rutstein A., and Gahr M. Early condition, song learning, and the volume of song brain nuclei in the zebra finch (Taenopygia guttata). Journal of Neurobiology 66 (2006) 1602-1612
10. Gordon A.D. Classification. 2nd ed. (1999), Chapman & Hall, New York
11. Hailman J.P., and Ficken M.S. Combinatorial animal communication with computable syntax: Chick-a-dee calling qualifies as "language" by structural linguistics. Animal Behaviour 34 (1986) 1899-1901
12. Hailman J.P., Ficken M.S., and Ficken R.W. The "chick-a-dee" calls of Parus atricapillus: A recombinant system of animal communication compared with written English. Semiotica 56 (1985) 191-224
13. Hailman J.P., Ficken M.S., and Ficken R.W. Constraints on the structure of combinatorial 'chick-a-dee' calls. Ethology 72 (1987) 62-80
14. Handl J., Knowles J., and Kell D.B. Computational cluster validation in post-genomic data analysis. Bioinformatics 21 (2005) 3201-3212
15. Hauser M.D., Chomsky N., and Fitch W.T. The faculty of language: What is it, who has it, and how did it evolve?. Science 298 (2002) 1569-1579
16. Holveck M.J., de Castro A.C.V., Lachlan R.F., ten Cate C., and Riebel K. Song syntax learning and singing consistency signal early condition in zebra finches. Behavioural Ecology 19 (2008) 1267-1281
17. Hopkins B., and Skellam J.G. A new method for determining the type of distribution of plant individuals. Annals of Botany 18 (1954) 213-227
18. Ito K., Mori K., and Iwasaki S. Application of dynamic programming matching to classification of budgerigar calls. Journal of the Acoustical Society of America 100 (1996) 3947-3956
19. Jones A.E., ten Cate C., and Bijleveld C.C.J.H. The interobserver reliability of scoring sonagrams by eye: A study on methods, illustrated on zebra finch song. Animal Behaviour 62 (2001) 791-801
20. Keogh, E. J., & Pazzani, M. J. (2001, April 5-7). Derivative dynamic time warping. Paper presented at the First SIAM Conference on Data Mining, Chicago.
21. Kogan J.A., and Margoliash D. Automated recognition of bird song elements from recordings using dynamic time warping and hidden Markov models: A comparative study. Journal of the Acoustical Society of America 103 (1998) 2185-2196
22. Kruskal J.B. Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis. Psychometrika 29 (1964) 1-27
23. Kruskal J.B., and Liberman M. The symmetric time-warping problem: From continuous to discrete. In: Sankoff D., and Kruskal J.B. (Eds). Time warps, string edits and macromolecules: The theory and practice of sequence comparison (1983), Center for the Study of Language and Information, Stanford, CA 125-162
24. Lachlan R.F., and Slater P.J.B. Song learning by chaffinches: How accurate and from where. Animal Behaviour 65 (2003) 957-969
25. Leadbeater E., Goller F., and Riebel K. Unusual phonation, covarying song characteristics and song preferences in female zebra finches. Animal Behaviour 70 (2005) 909-919
26. Leitão A., and Riebel K. Are good ornaments bad armaments? Male chaffinch perception of songs with varying flourish length. Animal Behaviour 66 (2003) 161-167
27. Leitão A., ten Cate C., and Riebel K. Within-song complexity in a songbird is meaningful to both male and female receivers. Animal Behaviour 71 (2006) 1289-1296
28. Lemon R.E., and Chatfield C. Organization of song in cardinals. Animal Behaviour 19 (1971) 1-17
29. Lemon R.E., and Chatfield C. Organization of song of rose-breasted grosbeaks. Animal Behaviour 21 (1973) 28-44
30. Marler P. Three models of song learning: Evidence from behavior. Journal of Neurobiology 33 (1997) 501-516
31. Marler P., and Pickert R. Species-universal microstructure in the learned song of the swamp sparrow (Melospiza georgiana). Animal Behaviour 32 (1984) 673-689
32. McCune B., Grace J.B., and Urban D.L. Analysis of ecological communities (2002), MJM Software Design, Gleneden Beach, OR
33. McShane L.M., Radmacher M.D., Freidlin B., Yu R., Li M.-C., and Simon R. Methods for assessing reproducibility of clustering patterns observed in analyses of microarray data. Bioinformatics 18 (2002) 1462-1469
34. Nelson D.A., and Marler P. Categorical perception of a natural stimulus continuum: Birdsong. Science 244 (1989) 976-978
35. Okanoya K. Song syntax in Bengalese finches: Proximate and ultimate analyses. Advances in the Study of Behavior 34 (2004) 297-346
36. Podos J. Motor constraints on vocal development in a songbird. Animal Behaviour 50 (1996) 1287-1296
37. Prather J., Nowicki S., Anderson R., Peters S., and Mooney R. Neural correlates of categorical perception in learned vocal communication. Nature Neuroscience 12 (2009) 221-228
38. Riebel K., and Slater P.J.B. Do male chaffinches Fringilla coelebs copy song sequencing and bout length. Ibis 141 (1999) 680-683
39. Riebel K., and Slater P.J.B. Song type switching in the chaffinch, Fringilla coelebs: Timing or counting?. Animal Behaviour 57 (1999) 655-661
40. Riebel K., Smallegange I.M., Terpstra N.J., and Bolhuis J.J. Sexual equality in zebra finch song preference: Evidence for a dissociation between song recognition and production learning. Proceedings of the Royal Society of London Series B 269 (2002) 729-733
41. Rousseeuw P.J. Silhouettes: A graphical aid to the interpretation and validation of cluster analysis. Journal of Computational and Applied Mathematics 20 (1987) 53-65
42. Sturdy C.B., Phillmore L.S., Price J.L., and Weisman R.G. Song-note discriminations in zebra finches (Taenopygia guttata): Categories and pseudocategories. Journal of Comparative Psychology 113 (1999) 204-212
43. Sturdy C.B., Phillmore L.S., and Weisman R.G. Note types, harmonic structure, and note order in the songs of zebra finches (Taeniopygia guttata). Journal of Comparative Psychology 113 (1999) 194-203
44. Tan P.-N., Steinback M., and Kumar V. Introduction to data mining (2005), Addison-Wesley, Reading, MA
45. Tchernichovski O., Nottebohm F., Ho C.E., Pesaran B., and Mitra P.P. A procedure for an automated measurement of song similarity. Animal Behaviour 59 (2000) 1167-1176
46. Thorpe W.H. The process of song-learning in the chaffinch as studied by means of the sound spectrograph. Nature 173 (1954) 465
47. Todt D. Periodische Strophenwiederkehr im Gesang der Amsel Turdus merula. [Periodic strophe repetition of the song of the European blackbird (Turdus merula)]. Zeitschrift f Naturforschung 22 (1967) 997
48. Todt D. Zur Stuerung unregelmässiger Verhaltensabläufe - Ergebnisse einer Analyse des Gesanges der Amsel (Turdus merula) [On the control of irregular behavioral sequences: Results of an analysis of the song of the European blackbird (Turdus merula)]. In: Mittelstaedt H. (Ed). Kybernetik (1968), Oldenbourg Verlag, München 465-485
49. Todt D. Äquivalente und konvalente gesangliche Reaktionen einer extreme regelmässig singenden Nachtigall (Luscinia megarhynchos L.) [Equivalent and convalent vocal reactions of an extremely regularly singing nightingale (Luscinia megarhynchos L.)]. Journal of Comparative Physiology A: Neuroethology, Sensory, Neural, and Behavioral Physiology 71 (1970) 262-285
50. Todt D. Gesang und gesangliche Korrespondenz der Amsel. [Song and vocal correspondence in the European blackbird]. Naturwissenschaften 57 (1970) 61-66
51. Todt D., and Hultsch H. How songbirds deal with large amounts of serial information: Retrieval rules suggest a hierarchical song memory. Biological Cybernetics 79 (1998) 487-500
52. Ward J.H. Hierarchical grouping to optimize an objective function. JAMA: Journal of the American Statistical Association 58 (1963) 236-244
53. Zann R. Variation of song structure within and among populations of Australian zebra finches. The Auk 110 (1993) 716-726