Cited by 145

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

The Evolutionary Biology of Musical Rhythm: Was Darwin Wrong?

Patel, Aniruddh D.·2014·PLoS Biology

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1371/journal.pbio.1001821

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Figures

Figure 1 Illustration of how a human adult taps to an auditory metronome. In Figure 1a, the upper gray bars represent the times of five metronome events (brief tones with interonset interval = 600 ms). The lower black bars show tap times, which fall very close to tone onsets. Figure 1b shows summary data for a trial of 40 tones. The relative phase (RP) of each tap is represented by a thin black vector on a unit circle: 0 indicates perfect temporal alignment between taps and tones, negative RP values indicate taps preceding tones, positive RP values indicate taps following tones, and 0.5 indicates taps midway between tones. The white arrow indicates mean relative phase, which is slightly negative in this case (i.e., on average, taps slightly precede tone onsets in time).
Figure 1 Illustration of how a human adult taps to an auditory metronome. In Figure 1a, the upper gray bars represent the times of five metronome events (brief tones with interonset interval = 600 ms). The lower black bars show tap times, which fall very close to tone onsets. Figure 1b shows summary data for a trial of 40 tones. The relative phase (RP) of each tap is represented by a thin black vector on a unit circle: 0 indicates perfect temporal alignment between taps and tones, negative RP values indicate taps preceding tones, positive RP values indicate taps following tones, and 0.5 indicates taps midway between tones. The white arrow indicates mean relative phase, which is slightly negative in this case (i.e., on average, taps slightly precede tone onsets in time).CC BY · PubMed Central
Figure 2 Recent summary diagram of long-distance fiber tracts in the human dorsal auditory stream (adapted, with permission, from [43]). Of particular interest here are connections between auditory regions in the posterior superior temporal gyrus/middle temporal gyrus (pSTG/MTG) and the angular gyrus (AG) of the parietal cortex, and connections between the angular gyrus and the dorsal premotor cortex (dPMC). These connections correspond to two branches of the superior longitudinal fasciculus (SLF): the SLF temporo-parietal branch (SLF-tp) and the 2nd branch (SLF II). Interestingly, both tracts appear to play a role in the human ability to repeat what is heard [43], a key part of vocal learning. PTL: posterior temporal lobe; SMG: supramarginal gyrus; vPMC: ventral premotor cortex; 44: Brodmann area 44 (part of Broca's area).
Figure 2 Recent summary diagram of long-distance fiber tracts in the human dorsal auditory stream (adapted, with permission, from [43]). Of particular interest here are connections between auditory regions in the posterior superior temporal gyrus/middle temporal gyrus (pSTG/MTG) and the angular gyrus (AG) of the parietal cortex, and connections between the angular gyrus and the dorsal premotor cortex (dPMC). These connections correspond to two branches of the superior longitudinal fasciculus (SLF): the SLF temporo-parietal branch (SLF-tp) and the 2nd branch (SLF II). Interestingly, both tracts appear to play a role in the human ability to repeat what is heard [43], a key part of vocal learning. PTL: posterior temporal lobe; SMG: supramarginal gyrus; vPMC: ventral premotor cortex; 44: Brodmann area 44 (part of Broca's area).CC BY · PubMed Central

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 2 references

Research works printed but not linked: 81

  1. NJ Conard, 2009, New flutes document the earliest musical tradition in southwestern Germany, Nature, 460, 737, 10.1038/nature08169 · DOI
  2. S Brown, 2013, Universals in the world's musics, Psychol Music, 41, 229, 10.1177/0305735611425896 · DOI
  3. Nettl B (2000) An ethnomusicologist contemplates universals in musical sound and musical culture. In: Wallin NL, Merker B, Brown S, editors. The origins of music. Cambridge, MA: MIT Press. pp. 463–472.
  4. Darwin C (1871) The descent of man and selection in relation to sex. London: John Murray. · DOI
  5. Buzáki G (2006) Rhythms of the brain. New York: Oxford University Press. · DOI · Paper page
  6. T Toiviainen, 2010, Embodied meter: hierarchical eigenmodes in music-induced movement, Music Percept, 28, 59, 10.1525/mp.2010.28.1.59 · DOI
  7. McNeill W (1995) Keeping together in time: dance and drill in human history. Cambridge, MA: Harvard University Press.
  8. MD Greenfield, 2005, Mechanisms and evolution of communal sexual displays in arthropods and anurans, Adv Study Behav, 35, 1, 10.1016/S0065-3454(05)35001-7 · DOI
  9. RE Mirollo, 1990, Synchronization of pulse-coupled biological oscillators, SIAM J Appl Math, 50, 1645, 10.1137/0150098 · DOI
  10. EW Large, 2009, Pulse and meter as neural resonance, Ann N Y Acad Sci, 1169, 46, 10.1111/j.1749-6632.2009.04550.x · DOI
  11. Large EW (2010) Neurodynamics of music. In: Jones M, Fay RR, Popper AN, editors. Springer handbook of auditory research, Vol. 36: music perception. New York: Springer. pp. 201–231. · DOI
  12. Fitch WT (2012) The biology and evolution of rhythm: unraveling a paradox. In: Rebuschat P, Rohmeier M, Hawkins JA, Cross I, editors. Language and music as cognitive systems. Oxford: Oxford University Press. pp.73–95.
  13. A Schachner, 2010, Auditory-motor entrainment in vocal mimicking species: additional ontogenetic and phylogenetic factors, Commun Integr Biol, 3, 290, 10.4161/cib.3.3.11708 · DOI
  14. w Zarco, 2009, Subsecond timing in primates: comparison of interval production between human subjects and rhesus monkeys, J Neurophysiol, 102, 3191, 10.1152/jn.00066.2009 · DOI
  15. Y Hattori, 2013, Spontaneous synchronized tapping to an auditory rhythm in a chimpanzee, Sci Rep, 3, 1566, 10.1038/srep01566 · DOI
  16. BH Repp, 2005, Sensorimotor synchronization: a review of the tapping literature, Psychon Bull Rev, 12, 969, 10.3758/BF03206433 · DOI
  17. FE Hanson, 1971, Synchrony and flash entrainment in a New Guinea firefly, Science, 174, 162, 10.1126/science.174.4005.161 · DOI
  18. Gerhardt HC, Huber F (2002) Acoustic communication in insects and anurans. Chicago: University of Chicago Press.
  19. K Dunlap, 1910, Reactions to rhythmic stimuli, with attempt to synchronize, Psychol Rev, 17, 399, 10.1037/h0074736 · DOI
  20. AD Patel, 2005, The influence of metricality and modality on synchronization with a beat, Exp Brain Res, 163, 226, 10.1007/s00221-004-2159-8 · DOI
  21. MJ Hove, 2013, Synchronizing with auditory and visual rhythms: an fMRI assessment of modality differences and modality appropriateness, Neuroimage, 67, 313, 10.1016/j.neuroimage.2012.11.032 · DOI
  22. I Winkler, 2009, Newborn infants detect the beat in music, Proc Natl Acad Sci U S A, 106, 2468, 10.1073/pnas.0809035106 · DOI
  23. H Honing, 2012, Rhesus monkeys (Macaca mulatta) detect rhythmic groups in music, but not the beat, PLoS ONE, 7, e51369, 10.1371/journal.pone.0051369 · DOI
  24. WT Fitch, 2006, The biology and evolution of music: a comparative perspective, Cognition, 100, 173, 10.1016/j.cognition.2005.11.009 · DOI
  25. DW Moran, 1999, Motor cortical representation of speed and direction during reaching, J Neurophysiol, 82, 2676, 10.1152/jn.1999.82.5.2676 · DOI
  26. AD Patel, 2006, Musical rhythm, linguistic rhythm, and human evolution, Music Percept, 24, 99, 10.1525/mp.2006.24.1.99 · DOI
  27. VM Janik, 1997, Vocal learning in mammals, Adv Study Behav, 26, 59, 10.1016/S0065-3454(08)60377-0 · DOI
  28. M Knörnschild, 2010, Complex vocal imitation during ontogeny in a bat, Biol Lett, 6, 156, 10.1098/rsbl.2009.0685 · DOI
  29. AS Stoeger, 2012, An Asian elephant imitates human speech, Curr Biol, 22, 2144, 10.1016/j.cub.2012.09.022 · DOI
  30. ED Jarvis, 2004, Learned birdsong and the neurobiology of human language, Ann New York Acad Sci, 1016, 749, 10.1196/annals.1298.038 · DOI
  31. RJ Schusterman, 2008, Novel sound production via contingency learning in the Pacific walrus (Odobenus rosmarus divergens), Anim Cog, 11, 319, 10.1007/s10071-007-0120-5 · DOI
  32. S Ridgway, 2012, Spontaneous human speech mimicry by a cetacean, Curr Biol, 22, R860, 10.1016/j.cub.2012.08.044 · DOI
  33. CI Petkov, 2012, Birds, primates, and spoken language origins: behavioral phenotypes and neurobiological substrates, Front Evol Neurosci, 4, 12, 10.3389/fnevo.2012.00012 · DOI
  34. JA Grahn, 2009, Feeling the beat: premotor and striatal interactions in musicians and nonmusicians during beat perception, J Neurosci, 29, 7540, 10.1523/JNEUROSCI.2018-08.2009 · DOI
  35. JL Chen, 2008, Listening to musical rhythms recruits motor regions of the brain, Cereb Cortex, 18, 2844, 10.1093/cercor/bhn042 · DOI
  36. S-J Kung, 2013, Interacting cortical and basal ganglia networks underlying finding and tapping to the musical beat, J Cogn Neurosci, 25, 401, 10.1162/jocn_a_00325 · DOI
  37. RJ Zatorre, 2007, When the brain plays music: auditory-motor interactions in music perception and production, Nat Rev Neurosci, 8, 547, 10.1038/nrn2152 · DOI
  38. AD Patel, 2014, The evolutionary neuroscience of musical beat perception: the action simulation for auditory prediction (ASAP) hypothesis, Front Syst Neuroci
  39. G Feenders, 2008, Molecular mapping of movement-associated areas in the avian brain: a motor theory for vocal learning origin, PLoS ONE, 3, e1768, 10.1371/journal.pone.0001768 · DOI
  40. SME Gierhan, 2013, Connections for auditory language in the human brain, Brain Lang, 127, 205, 10.1016/j.bandl.2012.11.002 · DOI
  41. JP Rauschecker, 2011, An expanded role for the dorsal auditory pathway in sensorimotor control and integration, Hear Res, 271, 16, 10.1016/j.heares.2010.09.001 · DOI
  42. JW Lewis, 2000, Corticocortical connections of visual, sensorimotor, and multimodal processing areas in the parietal lobe of the macaque monkey, J Comp Neurol, 428, 112, 10.1002/1096-9861(20001204)428:1<112::AID-CNE8>3.0.CO;2-9 · DOI
  43. MT de Schotten, 2012, Monkey to human comparative anatomy of the frontal lobe association tracts, Cortex, 48, 82, 10.1016/j.cortex.2011.10.001 · DOI · Paper page
  44. WT Fitch, 2009, Biology of music: another one bites the dust, Curr Biol, 19, R403, 10.1016/j.cub.2009.04.004 · DOI
  45. AD Patel, 2009, Studying synchronization to a musical beat in nonhuman animals, Ann New York Acad Sci, 1169, 459, 10.1111/j.1749-6632.2009.04581.x · DOI · Paper page
  46. AD Patel, 2009, Experimental evidence for synchronization to a musical beat in a nonhuman animal, Curr Biol, 19, 827, 10.1016/j.cub.2009.03.038 · DOI
  47. A Schachner, 2009, Spontaneous motor entrainment to music in multiple vocal mimicking species, Curr Biol, 19, 831, 10.1016/j.cub.2009.03.061 · DOI
  48. A Hasegawa, 2011, Rhythmic synchronization tapping to an audio-visual metronome in budgerigars, Sci Rep, 1, 120, 10.1038/srep00120 · DOI
  49. Eerola T, Luck G, Toiviainen P (2006) An investigation of pre-schoolers' corporeal synchronization with music. In: Baroni M, Addessi AR, Caterina R, Costa M, editors. Proc. of the 9th International Conference on Music Perception & Cognition (ICMPC9). Bologna, Italy: ICMPC and ESCOM. pp. 472–476.
  50. P Cook, 2013, A California sea lion (Zalophus californianus) can keep the beat: motor entrainment to rhythmic auditory stimuli in a non vocal mimic, J Comparative Psychol
  51. Schusterman RJ (2008) Vocal learning in mammals with special emphasis on pinnipeds. In: Oller DK, Gribel T, editors. The evolution of communicative flexibility: complexity, creativity, and adaptability in human and animal communication. Cambridge, MA: MIT Press. pp. 41–70. · DOI
  52. U Arnason, 2006, Pinniped phylogeny and a new hypothesis for their origin and dispersal, Mol Phylogenet Evol, 41, 345, 10.1016/j.ympev.2006.05.022 · DOI
  53. RJ Schusterman, 1967, Underwater sound production by captive California sea lions, Zalophus californianus, Zoologica, 52, 21
  54. Schusterman RJ (1978) Vocal communication in pinnipeds. In: Markowitz H, Stevens VJ, editors. Behavior of captive wild animals. Chicago: Nelson Hall. pp. 247–308.
  55. C Reichmuth, 2013, Comparative assessment of amphibious hearing in pinnipeds, J Comp Physiol A, 199, 491, 10.1007/s00359-013-0813-y · DOI
  56. BR Moore, 1992, Avian movement imitation and a new form of mimicry: tracing the evolution of a complex form of learning, Behaviour, 122, 231, 10.1163/156853992X00525 · DOI
  57. RC Connor, 2006, Synchrony, social behaviour and alliance affiliation in Indian Ocean bottlenose dolphins, Tursiops aduncus, Anim Behav, 72, 1371, 10.1016/j.anbehav.2006.03.014 · DOI
  58. MR Bregman, 2012, A method for testing synchronization to a musical beat in domestic horses (Equus ferus caballus), Empir Musicol Rev, 7, 144, 10.18061/emr.v7i3-4.3745 · DOI
  59. SS Venneman, 2012, A commentary on Micah Bregman et al.: a method for testing synchronization to a musical beat in domestic horses (Equus ferus caballus), Empir Musicol Rev, 7, 160, 10.18061/emr.v7i3-4.3749 · DOI
  60. A Schachner, 2012, If horses entrain, don't entirely reject vocal learning: an experience-based vocal learning hypothesis, Empir Musicol Rev, 7, 157, 10.18061/emr.v7i3-4.3748 · DOI
  61. SH Hulse, 1988, Toward a comparative psychology of music perception, Music Percept, 5, 427, 10.2307/40285409 · DOI
  62. SC Page, 1989, Relative pitch perception in the European starling (Sturnus vulgaris): further evidence for an elusive phenomenon, J Exp Psychol Anim Behav, 15, 137, 10.1037/0097-7403.15.2.137 · DOI
  63. AA Wright, 2000, Music perception and octave generalization in rhesus monkeys, J Exp Psychol Gen, 129, 291, 10.1037/0096-3445.129.3.291 · DOI
  64. JH McDermott, 2004, Are consonant intervals music to their ears? Spontaneous acoustic preferences in a nonhuman primate, Cognition, 94, B11, 10.1016/j.cognition.2004.04.004 · DOI
  65. JH McDermott, 2007, Nonhuman primates prefer slow tempos but dislike music overall, Cognition, 104, 654, 10.1016/j.cognition.2006.07.011 · DOI
  66. DI Brooks, 2010, Chord discrimination by pigeons, Music Percept, 27, 183, 10.1525/mp.2010.27.3.183 · DOI
  67. CE Hagmann, 2010, Testing meter, rhythm, and tempo discriminations in pigeons, Behav Processes, 85, 99, 10.1016/j.beproc.2010.06.015 · DOI
  68. CT Snowdon, 2010, Affective responses in tamarins elicited by species- specific music, Biol Lett, 6, 30, 10.1098/rsbl.2009.0593 · DOI
  69. P Yin, 2010, Do ferrets perceive relative pitch?, J Acoust Soc Am, 127, 1673, 10.1121/1.3290988 · DOI
  70. AT Tierney, 2011, The motor origins of human and avian song structure, Proc Natl Acad Sci U S A, 108, 15510, 10.1073/pnas.1103882108 · DOI
  71. MR Bregman, 2012, Stimulus-dependent flexibility in non-human auditory pitch processing, Cognition, 122, 51, 10.1016/j.cognition.2011.08.008 · DOI
  72. E Selezneva, 2013, Rhythm sensitivity in macaque monkeys, Front Syst Neurosci, 7, 49, 10.3389/fnsys.2013.00049 · DOI
  73. W Fitch, 2013, Rhythmic cognition in humans and animals: distinguishing meter and pulse perception, Front Syst Neurosci, 7, 68, 10.3389/fnsys.2013.00068 · DOI
  74. H Merchant, 2013, Are non-human primates capable of rhythmic entrainment? Evidence for the gradual audiomotor evolution hypothesis, Front Psychol, 7, 274
  75. Patel AD, Demorest S (2013) Comparative music cognition: cross-species and cross-cultural studies. In: Deutsch D, editor. The psychology of music: 3rd ed. London: Academic Press/Elsevier. pp. 647–681. · DOI
  76. F Nottebohm, 1976, Phonation in the orange-winged Amazon parrot, Amazona amazonica, J Comp Physiol A, 108, 157, 10.1007/BF02169046 · DOI
  77. Jarvis ED (2013) Evolution of brain pathways for vocal learning in birds and humans. In: Bolhuis JJ, Everaert M, editors. Birdsong, speech, and language: exploring the evolution of mind and brain. Cambridge, MA: MIT Press. pp. 63–107. · DOI
  78. Fitch WT, Meitchen D (2013) Convergence and deep homology in the evolution of spoken language. In: Bolhuis JJ, Everaert M, editors. Birdsong, speech, and language: exploring the evolution of mind and brain. Cambridge, MA: MIT Press. pp. 45–62.
  79. Q Chen, 2013, Expression analysis of the speech-related genes FoxP1 and FoxP2 and their relation to singing behavior in two songbird species, J Exp Biol, 216, 3682, 10.1242/jeb.085886 · DOI
  80. Patel AD (2008) Music, language, and the brain. New York: Oxford University Press.
  81. B Lewandowski, 2013, At the interface of the auditory and vocal motor systems: NIf and its role in vocal processing, production and learning, J Physiol Paris, 107, 178, 10.1016/j.jphysparis.2013.04.001 · DOI

Cited by

Sorted by citations

Metadata

Authors
Patel, A. D.
Venue
PLoS Biology
Published
2014-03-25
Volume
12
Issue
3
Pages
e1001821
ISSN
1545-7885
Cited by
145
References
2
Language
en

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review