Andrea Ravignani

Publications

Displaying 1 - 9 of 9
  • Fuhrmann, D., Ravignani, A., Marshall-Pescini, S., & Whiten, A. (2014). Synchrony and motor mimicking in chimpanzee observational learning. Scientific Reports, 4: 5283. doi:10.1038/srep05283.

    Abstract

    Cumulative tool-based culture underwrote our species' evolutionary success and tool-based nut-cracking is one of the strongest candidates for cultural transmission in our closest relatives, chimpanzees. However the social learning processes that may explain both the similarities and differences between the species remain unclear. A previous study of nut-cracking by initially naïve chimpanzees suggested that a learning chimpanzee holding no hammer nevertheless replicated hammering actions it witnessed. This observation has potentially important implications for the nature of the social learning processes and underlying motor coding involved. In the present study, model and observer actions were quantified frame-by-frame and analysed with stringent statistical methods, demonstrating synchrony between the observer's and model's movements, cross-correlation of these movements above chance level and a unidirectional transmission process from model to observer. These results provide the first quantitative evidence for motor mimicking underlain by motor coding in apes, with implications for mirror neuron function.

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    Supplementary Information
  • 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. L., & Fitch, W. T. (2014). Chorusing, synchrony, and the evolutionary functions of rhythm. Frontiers in Psychology, 5: 1118. doi:10.3389/fpsyg.2014.01118.

    Abstract

    A central goal of biomusicology is to understand the biological basis of human musicality. One approach to this problem has been to compare core components of human musicality (relative pitch perception, entrainment, etc.) with similar capacities in other animal species. Here we extend and clarify this comparative approach with respect to rhythm. First, whereas most comparisons between human music and animal acoustic behavior have focused on spectral properties (melody and harmony), we argue for the central importance of temporal properties, and propose that this domain is ripe for further comparative research. Second, whereas most rhythm research in non-human animals has examined animal timing in isolation, we consider how chorusing dynamics can shape individual timing, as in human music and dance, arguing that group behavior is key to understanding the adaptive functions of rhythm. To illustrate the interdependence between individual and chorusing dynamics, we present a computational model of chorusing agents relating individual call timing with synchronous group behavior. Third, we distinguish and clarify mechanistic and functional explanations of rhythmic phenomena, often conflated in the literature, arguing that this distinction is key for understanding the evolution of musicality. Fourth, we expand biomusicological discussions beyond the species typically considered, providing an overview of chorusing and rhythmic behavior across a broad range of taxa (orthopterans, fireflies, frogs, birds, and primates). Finally, we propose an “Evolving Signal Timing” hypothesis, suggesting that similarities between timing abilities in biological species will be based on comparable chorusing behaviors. We conclude that the comparative study of chorusing species can provide important insights into the adaptive function(s) of rhythmic behavior in our “proto-musical” primate ancestors, and thus inform our understanding of the biology and evolution of rhythm in human music and language.
  • Ravignani, A. (2014). Chronometry for the chorusing herd: Hamilton's legacy on context-dependent acoustic signalling—a comment on Herbers (2013). Biology Letters, 10(1): 20131018. doi:10.1098/rsbl.2013.1018.
  • 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., Martins, M., & Fitch, W. T. (2014). Vocal learning, prosody, and basal ganglia: Don't underestimate their complexity. Behavioral and Brain Sciences, 37(6), 570-571. doi:10.1017/S0140525X13004184.

    Abstract

    In response to: Brain mechanisms of acoustic communication in humans and nonhuman primates: An evolutionary perspective

    Abstract:
    Ackermann et al.'s arguments in the target article need sharpening and rethinking at both mechanistic and evolutionary levels. First, the authors' evolutionary arguments are inconsistent with recent evidence concerning nonhuman animal rhythmic abilities. Second, prosodic intonation conveys much more complex linguistic information than mere emotional expression. Finally, human adults' basal ganglia have a considerably wider role in speech modulation than Ackermann et al. surmise.
  • Ravignani, A., Sonnweber, R.-S., Stobbe, N., & Fitch, W. T. (2013). Action at a distance: Dependency sensitivity in a New World primate. Biology Letters, 9(6): 0130852. doi:10.1098/rsbl.2013.0852.

    Abstract

    Sensitivity to dependencies (correspondences between distant items) in sensory stimuli plays a crucial role in human music and language. Here, we show that squirrel monkeys (Saimiri sciureus) can detect abstract, non-adjacent dependencies in auditory stimuli. Monkeys discriminated between tone sequences containing a dependency and those lacking it, and generalized to previously unheard pitch classes and novel dependency distances. This constitutes the first pattern learning study where artificial stimuli were designed with the species' communication system in mind. These results suggest that the ability to recognize dependencies represents a capability that had already evolved in humans’ last common ancestor with squirrel monkeys, and perhaps before.
  • Ravignani, A., Olivera, M. V., Gingras, B., Hofer, R., Hernandez, R. C., Sonnweber, R. S., & Fitch, T. W. (2013). Primate drum kit: A system for studying acoustic pattern production by non-human primates using acceleration and strain sensors. Sensors, 13(8), 9790-9820. doi:10.3390/s130809790.

    Abstract

    The possibility of achieving experimentally controlled, non-vocal acoustic production in non-human primates is a key step to enable the testing of a number of hypotheses on primate behavior and cognition. However, no device or solution is currently available, with the use of sensors in non-human animals being almost exclusively devoted to applications in food industry and animal surveillance. Specifically, no device exists which simultaneously allows: (i) spontaneous production of sound or music by non-human animals via object manipulation, (ii) systematical recording of data sensed from these movements, (iii) the possibility to alter the acoustic feedback properties of the object using remote control. We present two prototypes we developed for application with chimpanzees (Pan troglodytes) which, while fulfilling the aforementioned requirements, allow to arbitrarily associate sounds to physical object movements. The prototypes differ in sensing technology, costs, intended use and construction requirements. One prototype uses four piezoelectric elements embedded between layers of Plexiglas and foam. Strain data is sent to a computer running Python through an Arduino board. A second prototype consists in a modified Wii Remote contained in a gum toy. Acceleration data is sent via Bluetooth to a computer running Max/MSP. We successfully pilot tested the first device with a group of chimpanzees. We foresee using these devices for a range of cognitive experiments.
  • 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.

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