74
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Delayed feedback embedded in perception-action coordination cycles results in anticipation behavior during synchronized rhythmic action: A dynamical systems approach

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Dancing and playing music require people to coordinate actions with auditory rhythms. In laboratory perception-action coordination tasks, people are asked to synchronize taps with a metronome. When synchronizing with a metronome, people tend to anticipate stimulus onsets, tapping slightly before the stimulus. The anticipation tendency increases with longer stimulus periods of up to 3500ms, but is less pronounced in trained individuals like musicians compared to non-musicians. Furthermore, external factors influence the timing of tapping. These factors include the presence of auditory feedback from one’s own taps, the presence of a partner performing coordinated joint tapping, and transmission latencies (TLs) between coordinating partners. Phenomena like the anticipation tendency can be explained by delay-coupled systems, which may be inherent to the sensorimotor system during perception-action coordination. Here we tested whether a dynamical systems model based on this hypothesis reproduces observed patterns of human synchronization. We simulated behavior with a model consisting of an oscillator receiving its own delayed activity as input. Three simulation experiments were conducted using previously-published behavioral data from 1) simple tapping, 2) two-person alternating beat-tapping, and 3) two-person alternating rhythm-clapping in the presence of a range of constant auditory TLs. In Experiment 1, our model replicated the larger anticipation observed for longer stimulus intervals and adjusting the amplitude of the delayed feedback reproduced the difference between musicians and non-musicians. In Experiment 2, by connecting two models we replicated the smaller anticipation observed in human joint tapping with bi-directional auditory feedback compared to joint tapping without feedback. In Experiment 3, we varied TLs between two models alternately receiving signals from one another. Results showed reciprocal lags at points of alternation, consistent with behavioral patterns. Overall, our model explains various anticipatory behaviors, and has potential to inform theories of adaptive human synchronization.

          Author summary

          When navigating a busy sidewalk, people coordinate their behavior in an orderly manner. Other activities require people to carefully synchronize periodic actions, as in a group rowing or marching. When individuals tap in synchrony with a metronome, their taps tend to anticipate the metronome. Experiments have revealed that factors like musical expertise, the presence of a synchronizing partner, auditory feedback, and the sound travel time, all systematically affect the tendency to anticipate. While researchers have hypothesized a number of potential mechanisms for such anticipatory behavior, none have successfully accounted for all of the effects. Previous research on coupled physical systems has shown that when one system receives input from a second system, plus its own delayed signal as input, this causes system 1 to anticipate system 2. We hypothesize that the tendency to anticipate is the result of delayed communication between neurons. Our work demonstrates the ability of delay-coupled physical systems to capture human anticipation and the effect of external factors in the anticipation tendency. Our model supports the theory that delayed communication within the nervous system is crucial to understanding anticipatory coordinative behavior.

          Related collections

          Most cited references64

          • Record: found
          • Abstract: found
          • Article: not found

          Sensorimotor synchronization: a review of recent research (2006-2012).

          Sensorimotor synchronization (SMS) is the coordination of rhythmic movement with an external rhythm, ranging from finger tapping in time with a metronome to musical ensemble performance. An earlier review (Repp, 2005) covered tapping studies; two additional reviews (Repp, 2006a, b) focused on music performance and on rate limits of SMS, respectively. The present article supplements and extends these earlier reviews by surveying more recent research in what appears to be a burgeoning field. The article comprises four parts, dealing with (1) conventional tapping studies, (2) other forms of moving in synchrony with external rhythms (including dance and nonhuman animals' synchronization abilities), (3) interpersonal synchronization (including musical ensemble performance), and (4) the neuroscience of SMS. It is evident that much new knowledge about SMS has been acquired in the last 7 years.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            A theoretical model of phase transitions in human hand movements.

            Earlier experimental studies by one of us (Kelso, 1981a, 1984) have shown that abrupt phase transitions occur in human hand movements under the influence of scalar changes in cycling frequency. Beyond a critical frequency the originally prepared out-of-phase, antisymmetric mode is replaced by a symmetrical, in-phase mode involving simultaneous activation of homologous muscle groups. Qualitatively, these phase transitions are analogous to gait shifts in animal locomotion as well as phenomena common to other physical and biological systems in which new "modes" or spatiotemporal patterns arise when the system is parametrically scaled beyond its equilibrium state (Haken, 1983). In this paper a theoretical model, using concepts central to the interdisciplinary field of synergetics and nonlinear oscillator theory, is developed, which reproduces (among other features) the dramatic change in coordinative pattern observed between the hands.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Follow you, follow me: continuous mutual prediction and adaptation in joint tapping.

              To study the mechanisms of coordination that are fundamental to successful interactions we carried out a joint finger tapping experiment in which pairs of participants were asked to maintain a given beat while synchronizing to an auditory signal coming from the other person or the computer. When both were hearing each other, the pair became a coupled, mutually and continuously adaptive unit of two "hyper-followers", with their intertap intervals (ITIs) oscillating in opposite directions on a tap-to-tap basis. There was thus no evidence for the emergence of a leader-follower strategy. We also found that dyads were equally good at synchronizing with the irregular, but responsive other as with the predictable, unresponsive computer. However, they performed worse when the "other" was both irregular and unresponsive. We thus propose that interpersonal coordination is facilitated by the mutual abilities to (a) predict the other's subsequent action and (b) adapt accordingly on a millisecond timescale.
                Bookmark

                Author and article information

                Contributors
                Role: ConceptualizationRole: Formal analysisRole: InvestigationRole: MethodologyRole: SoftwareRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: MethodologyRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: MethodologyRole: SupervisionRole: Writing – review & editing
                Role: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: Formal analysisRole: MethodologyRole: SupervisionRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS Comput Biol
                PLoS Comput. Biol
                plos
                ploscomp
                PLoS Computational Biology
                Public Library of Science (San Francisco, CA USA )
                1553-734X
                1553-7358
                31 October 2019
                October 2019
                : 15
                : 10
                : e1007371
                Affiliations
                [1 ] Center for Computer Research in Music and Acoustics, Department of Music, Stanford University, Stanford, United States of America
                [2 ] Stanford Neurosciences Graduate Training Program, Stanford University, Stanford, United States of America
                [3 ] Department of Computer Science and Engineering, University of California San Diego, La Jolla, United States of America
                [4 ] Department of Psychological Sciences, University of Connecticut, Storrs, United States of America
                [5 ] Department of Physics, University of Connecticut, Storrs, United States of America
                [6 ] Wu Tsai Neurosciences Institute, Stanford University, Stanford, United States of America
                University of Pittsburgh, UNITED STATES
                Author notes

                Iran R. Roman, Auriel Washburn, Chris Chafe and Takako Fujioka declare that no competing financial interest exist. Edward W. Large declares a competing financial interest as CEO of Oscilloscape, LLC.

                Author information
                http://orcid.org/0000-0003-3781-7244
                http://orcid.org/0000-0003-3909-3518
                Article
                PCOMPBIOL-D-19-00119
                10.1371/journal.pcbi.1007371
                6822724
                31671096
                2b72a360-55ed-4a82-9807-52f926141a45
                © 2019 Roman et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 3 February 2019
                : 2 September 2019
                Page count
                Figures: 7, Tables: 0, Pages: 32
                Funding
                The authors received no specific funding for this work.
                Categories
                Research Article
                Biology and Life Sciences
                Psychology
                Behavior
                Social Sciences
                Psychology
                Behavior
                Research and Analysis Methods
                Mathematical and Statistical Techniques
                Mathematical Functions
                Sine Waves
                Research and Analysis Methods
                Simulation and Modeling
                Computer and Information Sciences
                Systems Science
                Dynamical Systems
                Physical Sciences
                Mathematics
                Systems Science
                Dynamical Systems
                Physical Sciences
                Physics
                Acoustics
                Bioacoustics
                Biology and Life Sciences
                Bioacoustics
                Biology and Life Sciences
                Neuroscience
                Cognitive Science
                Cognitive Psychology
                Music Cognition
                Music Perception
                Biology and Life Sciences
                Psychology
                Cognitive Psychology
                Music Cognition
                Music Perception
                Social Sciences
                Psychology
                Cognitive Psychology
                Music Cognition
                Music Perception
                Biology and Life Sciences
                Neuroscience
                Sensory Perception
                Music Perception
                Biology and Life Sciences
                Psychology
                Sensory Perception
                Music Perception
                Social Sciences
                Psychology
                Sensory Perception
                Music Perception
                Research and Analysis Methods
                Mathematical and Statistical Techniques
                Statistical Methods
                Regression Analysis
                Linear Regression Analysis
                Physical Sciences
                Mathematics
                Statistics
                Statistical Methods
                Regression Analysis
                Linear Regression Analysis
                Biology and Life Sciences
                Neuroscience
                Cognitive Science
                Cognitive Psychology
                Music Cognition
                Biology and Life Sciences
                Psychology
                Cognitive Psychology
                Music Cognition
                Social Sciences
                Psychology
                Cognitive Psychology
                Music Cognition
                Custom metadata
                All matlab files with the code that runs our simulations and generates all the figures are available at the github repository with URL https://github.com/iranroman/SAPPA. All relevant data are within the manuscript and its Supporting Information files.

                Quantitative & Systems biology
                Quantitative & Systems biology

                Comments

                Comment on this article