Skip to main content

Advertisement

Log in

Neural coding of sound envelope structure in songbirds

  • Original Paper
  • Published:
Journal of Comparative Physiology A Aims and scope Submit manuscript

Abstract

Songbirds are a well-established animal model to study the neural basis of learning, perception and production of complex vocalizations. In this system, telencephalic neurons in HVC present a state-dependent, highly selective response to auditory presentations of the bird’s own song (BOS). This property provides an opportunity to study the neural code behind a complex motor behavior. In this work, we explore whether changes in the temporal structure of the sound envelope can drive changes in the neural responses of highly selective HVC units. We generated an envelope-modified BOS (MOD) by reversing each syllable’s envelope but leaving the overall temporal structure of syllable spectra unchanged, which resulted in a subtle modification for each song syllable. We conducted in vivo electrophysiological recordings of HVC neurons in anaesthetized zebra finches (Taeniopygia guttata). Units analyzed presented a high BOS selectivity and lower response to MOD, but preserved the profile response shape. These results show that the temporal evolution of the sound envelope is being sensed by the avian song system and suggest that the biomechanical properties of the vocal apparatus could play a role in enhancing subtle sound differences.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

Abbreviations

BOS:

Bird’s own song

MOD:

Envelope-modified bird’s own song

REV:

Reverse song

CON:

Conspecific song

PSTH:

Post-stimulus Time Histogram

MAP:

Motif Activity Profile

MRA:

Mean Relative Amplitude

RRS:

Relative Response Strength

RRV:

Relative Response Variability

SC:

Spectral Centroid

IRR:

Spectral Irregularity

EMG:

Electromyography

References

  • Alonso R, Goller F, Mindlin GB (2014) Motor control of sound frequency in birdsong involves the interaction between air sac pressure and labial tension. Phys Rev E 89(3):032706

    Article  Google Scholar 

  • Amador A, Margoliash D (2013) A mechanism for frequency modulation in songbirds shared with humans. J Neurosci 33(27):11136–11144. https://doi.org/10.1523/JNEUROSCI.5906-12.2013

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Amador A, Sanz Perl Y, Mindlin GB, Margoliash D (2013) Elemental gesture dynamics are encoded by song premotor cortical neurons. Nature 495:59–64. https://doi.org/10.1038/nature11967

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Boari S, Perl YS, Amador A, Margoliash D, Mindlin GB (2015) Automatic reconstruction of physiological gestures used in a model of birdsong production. J Neurophysiol 114(5):2912–2922

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Boersma P, Van Heuven V (2001) Speak and unSpeak with PRAAT. Glot International 5(9–10):341–347

    Google Scholar 

  • Brainard MS, Doupe AJ (2000) Interruption of a basal ganglia–forebrain circuit prevents plasticity of learned vocalizations. Nature 404(6779):762–766

    Article  CAS  PubMed  Google Scholar 

  • Bregman MR, Patel AD, Gentner TQ (2016) Songbirds use spectral shape, not pitch, for sound pattern recognition. Proc Natl Acad Sci USA 113(6):1666–1671

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Caclin A, McAdams S, Smith BK, Winsberg S (2005) Acoustic correlates of timbre space dimensions: a confirmatory study using synthetic tones. J Acoust Soc Am 118(1):471–482

    Article  PubMed  Google Scholar 

  • Dave AS, Margoliash D (2000) Song replay during sleep and computational rules for sensorimotor vocal learning. Science 290(5492):812–816

    Article  CAS  PubMed  Google Scholar 

  • Dooling RJ, Prior NH (2017) Do we hear what birds hear in birdsong? Anim Behav 124:283–289

    Article  Google Scholar 

  • Dooling RJ, Lohr B, Dent ML (2000) Hearing in birds and reptiles. In: Dooling RJ, Fay RR (eds) Comparative hearing: birds and reptiles. Springer-Verlag, New York, pp 308–359

    Chapter  Google Scholar 

  • Dooling RJ, Leek MR, Gleich O, Dent ML (2002) Auditory temporal resolution in birds: discrimination of harmonic complexes. J Acoust Soc Am 112(2):748–759

    Article  PubMed  Google Scholar 

  • Doupe AJ, Konishi M (1991) Song-selective auditory circuits in the vocal control system of the zebra finch. Proc Natl Acad Sci USA 88(24):11339–11343

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Doupe AJ, Kuhl PK (1999) Birdsong and human speech: common themes and mechanisms. Annu Rev Neurosci 22:567–631

    Article  CAS  PubMed  Google Scholar 

  • Drennan WR, Rubinstein JT (2008) Music perception in cochlear implant users and its relationship with psychophysical capabilities. J Rehabil Res Dev 45(5):779

    Article  PubMed  PubMed Central  Google Scholar 

  • Feher O, Wang HB, Saar S, Mitra PP, Tchernichovski O (2009) De novo establishment of wild-type song culture in the zebra finch. Nature 459(7246):564-U594. https://doi.org/10.1038/nature07994

    Article  Google Scholar 

  • Franz M, Goller F (2002) Respiratory units of motor production and song imitation in the zebra finch. ‎Dev Neurobiol 51(2):129–141

    Article  Google Scholar 

  • Grace JA, Amin N, Singh NC, Theunissen FE (2003) Selectivity for conspecific song in the zebra finch auditory forebrain. J Neurophysiol 89(1):472–487

    Article  PubMed  Google Scholar 

  • Iverson P, Krumhansl CL (1993) Isolating the dynamic attributes of musical timbre. J Acoust Soc Am 94(5):2595–2603

    Article  CAS  PubMed  Google Scholar 

  • Kong Y-Y, Mullangi A, Marozeau J, Epstein M (2011) Temporal and spectral cues for musical timbre perception in electric hearing. J Speech Lang Hear Res 54(3):981–994

    Article  PubMed  Google Scholar 

  • Krimphoff J, McAdams S, Winsberg S (1994) Caractérisation du timbre des sons complexes. II. Analyses acoustiques et quantification psychophysique. Le Journal de Physique IV 4(C5):C5–C625-C625-628

    Google Scholar 

  • Lewicki MS (1996) Intracellular characterization of song-specific neurons in the zebra finch auditory forebrain. J Neurosci 16(18):5854–5863

    CAS  Google Scholar 

  • Margoliash D (1983) Acoustic parameters underlying the responses of song-specific neurons in the white-crowned sparrow. J Neurosci 3(5):1039–1057

    CAS  PubMed  Google Scholar 

  • Margoliash D (1986) Preference for autogenous song by auditory neurons in a song system nucleus of the white-crowned sparrow. J Neurosci 6(6):1643–1661

    CAS  PubMed  Google Scholar 

  • Margoliash D, Fortune ES (1992) Temporal and harmonic combination-sensitive neurons in the zebra finch’s HVc. J Neurosci 12(11):4309–4326

    CAS  PubMed  Google Scholar 

  • Margoliash D, Fortune ES, Sutter ML, Yu AC, Wrenhardin BD, Dave A (1994) Distributed representation in the song system of Oscines: evolutionary implications and functional consequences. Brain Behav Evol 44(4–5):247–264

    Article  CAS  PubMed  Google Scholar 

  • McAdams S, Winsberg S, Donnadieu S, De Soete G, Krimphoff J (1995) Perceptual scaling of synthesized musical timbres: common dimensions, specificities, and latent subject classes. Psychol Res 58(3):177–192

    Article  CAS  PubMed  Google Scholar 

  • Mindlin GB, Gardner TJ, Goller F, Suthers R (2003) Experimental support for a model of birdsong production. Phys Rev E 68(4):41908. https://doi.org/10.1103/Physreve.68.041908

    Article  CAS  Google Scholar 

  • Mooney R (2000) Different subthreshold mechanisms underlie song selectivity in identified HVc neurons of the zebra finch. J Neurosci 20(14):5420–5436

    CAS  PubMed  Google Scholar 

  • Perl YS, Arneodo EM, Amador A, Goller F, Mindlin GB (2011) Reconstruction of physiological instructions from zebra finch song. Phys Rev E 84(5):051909. https://doi.org/10.1103/Physreve.84.051909

    Article  Google Scholar 

  • Prather JF, Peters S, Nowicki S, Mooney R (2008) Precise auditory-vocal mirroring in neurons for learned vocal communication. Nature 451(7176):305-U302. https://doi.org/10.1038/nature06492

    Article  Google Scholar 

  • Pressnitzer D, Bestel J, Fraysse B (2005) Music to electric ears: pitch and timbre perception by cochlear implant patients. Ann NY Acad Sci 1060(1):343–345

    Article  PubMed  Google Scholar 

  • Quiroga RQ, Nadasdy Z, Ben-Shaul Y (2004) Unsupervised spike detection and sorting with wavelets and superparamagnetic clustering. Neural Comput 16(8):1661–1687

    Article  PubMed  Google Scholar 

  • Riede T, Goller F (2010) Peripheral mechanisms for vocal production in birds—differences and similarities to human speech and singing. Brain Lang 115(1):69–80. https://doi.org/10.1016/j.bandl.2009.11.003

    Article  PubMed  PubMed Central  Google Scholar 

  • Riede T, Fisher JH, Goller F (2010) Sexual dimorphism of the zebra finch syrinx indicates adaptation for high fundamental frequencies in males. PLoS One 5(6):e11368. https://doi.org/10.1371/journal.pone.0011368

    Article  PubMed  PubMed Central  Google Scholar 

  • Ritschard M, Brumm H (2011) Effects of vocal learning, phonetics and inheritance on song amplitude in zebra finches. Anim Behav 82(6):1415–1422

    Article  Google Scholar 

  • Srivastava KH, Elemans CP, Sober SJ (2015) Multifunctional and context-dependent control of vocal acoustics by individual muscles. J Neurosci 35(42):14183–14194

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Theunissen FE, Doupe AJ (1998) Temporal and spectral sensitivity of complex auditory neurons in the nucleus HVc of male zebra finches. J Neurosci 18(10):3786–3802

    CAS  PubMed  Google Scholar 

  • Theunissen FE, Sen K, Doupe AJ (2000) Spectral–temporal receptive fields of nonlinear auditory neurons obtained using natural sounds. J Neurosci 20(6):2315–2331

    CAS  PubMed  Google Scholar 

  • Theunissen FE, Amin N, Shaevitz SS, Woolley SMN, Fremouw T, Hauber ME (2004) Song selectivity in the song system and in the auditory forebrain. Ann Ny Acad Sci 1016:222–245. https://doi.org/10.1196/Annals.1298.023

    Article  PubMed  Google Scholar 

  • Thorpe WH (1961) Bird-song: the biology of vocal communication and expression in birds. Cambridge University Press, Oxford

    Google Scholar 

  • Town SM, Bizley JK (2013) Neural and behavioral investigations into timbre perception. Front Syst Neurosci 7

  • Volman S (1996) Quantitative assessment of song-selectivity in the zebra finch “high vocal center”. J Comp Physiol A 178(6):849–862

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

We thank Cecilia T. Herbert and Gabriel B. Mindlin for comments and discussions that greatly improved the manuscript. This work was partially supported by Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET, Argentina), Agencia Nacional de Promoción Científica y Tecnológica (ANCyT, Argentina), Universidad de Buenos Aires (UBA, Argentina) and National Institutes of Health (NIH, USA) through grant R01-DC-012859. Experimentation and surgical procedures were conducted following protocols approved by the Institutional Animal Care and Use Committee (IACUC) of the University of Buenos Aires.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ana Amador.

Electronic supplementary material

Below is the link to the electronic supplementary material.

359_2017_1238_MOESM1_ESM.pdf

Online Resource 2: MOD-to-BOS relative differences in spectral irregularity within each song syllable. In this figure, we show the temporal evolution of the spectral irregularity (IRR) as defined in the main text. Each subfigure (a-e) corresponds to the analysis for a different bird. IRR time traces are shown in the top panel, with black traces corresponding to BOS and red traces to MOD, respectively. The second panel shows the MOD-to-BOS relative difference in IRR, averaged over 5 ms windows. The two bottom panels show the BOS and MOD sound traces (arb. unit), color coded as above (sampling rate: 20 kHz). In the songs from all the birds present in our study, IRR is only slightly changed. Relative differences account for the similarity between the IRR of each syllable present in the BOS and MOD stimuli, as can be seen from the superimposing traces in each of the top panels in a-e and from the near-zero values for relative differences (second panel of a-e). Grouped data (f) shows a histogram for the relative difference values of the 22 syllables from the songs of the 5 birds present in this study (bin size = 0.005). From the 530 temporal bins analyzed, only a small percentage (2.8%) present a deviation larger than 3%. Distribution values are mostly within this range, and only a few rare cases present differences larger than 5% (0.4% of time bins). The small percentage of these occurrences and the fact that they are symmetrically distributed with respect to the peak at [-0.005,0.005] indicate that the induced changes in the creation of the MOD are subtle ones. Statistically, this distribution is indistinguishable from a zero-mean normal distribution (t-test, p=0.61). Comparable results are obtained for spectral centroid (see Online Resource 1) (PDF 2142 KB)

359_2017_1238_MOESM2_ESM.pdf

Online Resource 1: MOD-to-BOS relative differences in spectral centroid within each song syllable. In this figure, we show the temporal evolution of the spectral centroid (SC) as defined in the main text. Each subfigure (a-e) corresponds to the analysis for a different bird. SC time traces (in kHz) are shown in the top panel, with black traces corresponding to BOS and red traces to MOD, respectively. The second panel shows the MOD-to-BOS relative difference in SC, averaged over 5 ms windows. The two bottom panels show the BOS and MOD sound traces (arb. unit), color coded as above (sampling rate: 20 kHz). In the songs from all the birds present in our study, SC is only slightly changed. Relative differences account for the similarity between the SC of each syllable present in the BOS and MOD stimuli, as can be seen from the superimposing traces in each of the top panels in a-e and from the near-zero values for relative differences (second panel of a-e). Grouped data (f) shows a histogram for the relative difference values of the 22 syllables from the songs of the 5 birds present in this study (bin size = 0.005). From the 530 temporal bins analyzed, only a small percentage (2%) present a deviation larger than 3%. Distribution values are mostly within this range, and only a few rare cases present differences larger than 5% (0.2% of time bins). The small percentage of these occurrences and the fact that they are symmetrically distributed with respect to the peak at [-0.005,0.005] indicate that the induced changes in the creation of the MOD are subtle ones. Statistically, this distribution is indistinguishable from a zero-mean normal distribution (t-test, p=0.17). Comparable results are obtained for spectral irregularity (see Online Resource 2) (PDF 2152 KB)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Boari, S., Amador, A. Neural coding of sound envelope structure in songbirds. J Comp Physiol A 204, 285–294 (2018). https://doi.org/10.1007/s00359-017-1238-9

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00359-017-1238-9

Keywords

Navigation