Andrea Ravignani

Publications

Displaying 1 - 16 of 16
  • Düngen, D., Sarfati, M., & Ravignani, A. (2023). Cross-species research in biomusicality: Methods, pitfalls, and prospects. In E. H. Margulis, P. Loui, & D. Loughridge (Eds.), The science-music borderlands: Reckoning with the past and imagining the future (pp. 57-95). Cambridge, MA, USA: The MIT Press. doi:10.7551/mitpress/14186.003.0008.
  • Gamba, M., De Gregorio, C., Valente, D., Raimondi, T., Torti, V., Miaretsoa, L., Carugati, F., Friard, O., Giacoma, C., & Ravignani, A. (2022). Primate rhythmic categories analyzed on an individual basis. In A. Ravignani, R. Asano, D. Valente, F. Ferretti, S. Hartmann, M. Hayashi, Y. Jadoul, M. Martins, Y. Oseki, E. D. Rodrigues, O. Vasileva, & S. Wacewicz (Eds.), The evolution of language: Proceedings of the Joint Conference on Language Evolution (JCoLE) (pp. 229-236). Nijmegen: Joint Conference on Language Evolution (JCoLE).

    Abstract

    Rhythm is a fundamental feature characterizing communicative displays, and recent studies showed that primate songs encompass categorical rhythms falling on small integer ratios observed in humans. We individually assessed the presence and sexual dimorphism of rhythmic categories, analyzing songs emitted by 39 wild indris. Considering the intervals between the units given during each song, we extracted 13556 interval ratios and found three peaks (at around 0.33, 0.47, and 0.70). Two peaks indicated rhythmic categories corresponding to small integer ratios (1:1, 2:1). All individuals showed a peak at 0.70, and
    most showed those at 0.47 and 0.33. In addition, we found sex differences in the peak at 0.47 only, with males showing lower values than females. This work investigates the presence of individual rhythmic categories in a non-human species; further research may highlight the significance of rhythmicity and untie selective pressures that guided its evolution across species, including humans.
  • Ravignani, A., Asano, R., Valente, D., Ferretti, F., Hartmann, S., Hayashi, M., Jadoul, Y., Martins, M., Oseki, Y., Rodrigues, E. D., Vasileva, O., & Wacewicz, S. (Eds.). (2022). The evolution of language: Proceedings of the Joint Conference on Language Evolution (JCoLE). Nijmegen: Joint Conference on Language Evolution (JCoLE). doi:10.17617/2.3398549.
  • de Reus, K., Carlson, D., Lowry, A., Gross, S., Garcia, M., Rubio-García, A., Salazar-Casals, A., & Ravignani, A. (2022). Body size predicts vocal tract size in a mammalian vocal learner. In A. Ravignani, R. Asano, D. Valente, F. Ferretti, S. Hartmann, M. Hayashi, Y. Jadoul, M. Martins, Y. Oseki, E. D. Rodrigues, O. Vasileva, & S. Wacewicz (Eds.), The evolution of language: Proceedings of the Joint Conference on Language Evolution (JCoLE) (pp. 154-156). Nijmegen: Joint Conference on Language Evolution (JCoLE).
  • De Boer, B., Thompson, B., Ravignani, A., & Boeckx, C. (2020). Analysis of mutation and fixation for language. In A. Ravignani, C. Barbieri, M. Flaherty, Y. Jadoul, E. Lattenkamp, H. Little, M. Martins, K. Mudd, & T. Verhoef (Eds.), The Evolution of Language: Proceedings of the 13th International Conference (Evolang13) (pp. 56-58). Nijmegen: The Evolution of Language Conferences.
  • De Heer Kloots, M., Carlson, D., Garcia, M., Kotz, S., Lowry, A., Poli-Nardi, L., de Reus, K., Rubio-García, A., Sroka, M., Varola, M., & Ravignani, A. (2020). Rhythmic perception, production and interactivity in harbour and grey seals. In A. Ravignani, C. Barbieri, M. Flaherty, Y. Jadoul, E. Lattenkamp, H. Little, M. Martins, K. Mudd, & T. Verhoef (Eds.), The Evolution of Language: Proceedings of the 13th International Conference (Evolang13) (pp. 59-62). Nijmegen: The Evolution of Language Conferences.
  • Hoeksema, N., Villanueva, S., Mengede, J., Salazar-Casals, A., Rubio-García, A., Curcic-Blake, B., Vernes, S. C., & Ravignani, A. (2020). Neuroanatomy of the grey seal brain: Bringing pinnipeds into the neurobiological study of vocal learning. In A. Ravignani, C. Barbieri, M. Flaherty, Y. Jadoul, E. Lattenkamp, H. Little, M. Martins, K. Mudd, & T. Verhoef (Eds.), The Evolution of Language: Proceedings of the 13th International Conference (Evolang13) (pp. 162-164). Nijmegen: The Evolution of Language Conferences.
  • Ravignani, A., Barbieri, C., Flaherty, M., Jadoul, Y., Lattenkamp, E. Z., Little, H., Martins, M., Mudd, K., & Verhoef, T. (Eds.). (2020). The Evolution of Language: Proceedings of the 13th International Conference (Evolang13). Nijmegen: The Evolution of Language Conferences. doi:10.17617/2.3190925.
  • de Reus, K., Carlson, D., Jadoul, Y., Lowry, A., Gross, S., Garcia, M., Salazar-Casals, A., Rubio-García, A., Haas, C. E., De Boer, B., & Ravignani, A. (2020). Relationships between vocal ontogeny and vocal tract anatomy in harbour seals (Phoca vitulina). In A. Ravignani, C. Barbieri, M. Flaherty, Y. Jadoul, E. Lattenkamp, H. Little, M. Martins, K. Mudd, & T. Verhoef (Eds.), The Evolution of Language: Proceedings of the 13th International Conference (Evolang13) (pp. 63-66). Nijmegen: The Evolution of Language Conferences.
  • Ravignani, A., Chiandetti, C., & Kotz, S. (2019). Rhythm and music in animal signals. In J. Choe (Ed.), Encyclopedia of Animal Behavior (vol. 1) (2nd ed., pp. 615-622). Amsterdam: Elsevier.
  • Delgado, T., Ravignani, A., Verhoef, T., Thompson, B., Grossi, T., & Kirby, S. (2018). Cultural transmission of melodic and rhythmic universals: Four experiments and a model. In C. Cuskley, M. Flaherty, H. Little, L. McCrohon, A. Ravignani, & T. Verhoef (Eds.), Proceedings of the 12th International Conference on the Evolution of Language (EVOLANG XII) (pp. 89-91). Toruń, Poland: NCU Press. doi:10.12775/3991-1.019.
  • Ravignani, A., Garcia, M., Gross, S., de Reus, K., Hoeksema, N., Rubio-Garcia, A., & de Boer, B. (2018). Pinnipeds have something to say about speech and rhythm. In C. Cuskley, M. Flaherty, H. Little, L. McCrohon, A. Ravignani, & T. Verhoef (Eds.), Proceedings of the 12th International Conference on the Evolution of Language (EVOLANG XII) (pp. 399-401). Toruń, Poland: NCU Press. doi:10.12775/3991-1.095.
  • Martins, M., Raju, A., & Ravignani, A. (2014). Evaluating the role of quantitative modeling in language evolution. In L. McCrohon, B. Thompson, T. Verhoef, & H. Yamauchi (Eds.), The Past, Present and Future of Language Evolution Research: Student volume of the 9th International Conference on the Evolution of Language (pp. 84-93). Tokyo: EvoLang9 Organising Committee.

    Abstract

    Models are a flourishing and indispensable area of research in language evolution. Here we
    highlight critical issues in using and interpreting models, and suggest viable approaches. First,
    contrasting models can explain the same data and similar modelling techniques can lead to
    diverging conclusions. This should act as a reminder to use the extreme malleability of
    modelling parsimoniously when interpreting results. Second, quantitative techniques similar to
    those used in modelling language evolution have proven themselves inadequate in other
    disciplines. Cross-disciplinary fertilization is crucial to avoid mistakes which have previously
    occurred in other areas. Finally, experimental validation is necessary both to sharpen models'
    hypotheses, and to support their conclusions. Our belief is that models should be interpreted as
    quantitative demonstrations of logical possibilities, rather than as direct sources of evidence.
    Only an integration of theoretical principles, quantitative proofs and empirical validation can
    allow research in the evolution of language to progress.
  • Ravignani, A., Bowling, D., & Kirby, S. (2014). The psychology of biological clocks: A new framework for the evolution of rhythm. In E. A. Cartmill, S. G. Roberts, & H. Lyn (Eds.), The Evolution of Language: Proceedings of the 10th International Conference (pp. 262-269). Singapore: World Scientific.
  • Ravignani, A., Gingras, B., Asano, R., Sonnweber, R., Matellan, V., & Fitch, W. T. (2013). The evolution of rhythmic cognition: New perspectives and technologies in comparative research. In M. Knauff, M. Pauen, I. Sebanz, & I. Wachsmuth (Eds.), Proceedings of the 35th Annual Conference of the Cognitive Science Society (pp. 1199-1204). Austin,TX: Cognitive Science Society.

    Abstract

    Music is a pervasive phenomenon in human culture, and musical
    rhythm is virtually present in all musical traditions. Research
    on the evolution and cognitive underpinnings of rhythm
    can benefit from a number of approaches. We outline key concepts
    and definitions, allowing fine-grained analysis of rhythmic
    cognition in experimental studies. We advocate comparative
    animal research as a useful approach to answer questions
    about human music cognition and review experimental evidence
    from different species. Finally, we suggest future directions
    for research on the cognitive basis of rhythm. Apart from
    research in semi-natural setups, possibly allowed by “drum set
    for chimpanzees” prototypes presented here for the first time,
    mathematical modeling and systematic use of circular statistics
    may allow promising advances.
  • Ravignani, A., & Fitch, W. T. (2012). Sonification of experimental parameters as a new method for efficient coding of behavior. In A. Spink, F. Grieco, O. E. Krips, L. W. S. Loijens, L. P. P. J. Noldus, & P. H. Zimmerman (Eds.), Measuring Behavior 2012, 8th International Conference on Methods and Techniques in Behavioral Research (pp. 376-379).

    Abstract

    Cognitive research is often focused on experimental condition-driven reactions. Ethological studies frequently
    rely on the observation of naturally occurring specific behaviors. In both cases, subjects are filmed during the
    study, so that afterwards behaviors can be coded on video. Coding should typically be blind to experimental
    conditions, but often requires more information than that present on video. We introduce a method for blindcoding
    of behavioral videos that takes care of both issues via three main innovations. First, of particular
    significance for playback studies, it allows creation of a “soundtrack” of the study, that is, a track composed of
    synthesized sounds representing different aspects of the experimental conditions, or other events, over time.
    Second, it facilitates coding behavior using this audio track, together with the possibly muted original video.
    This enables coding blindly to conditions as required, but not ignoring other relevant events. Third, our method
    makes use of freely available, multi-platform software, including scripts we developed.

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