4
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Why Do Durations in Musical Rhythms Conform to Small Integer Ratios?

      brief-report

      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

          One curious aspect of human timing is the organization of rhythmic patterns in small integer ratios. Behavioral and neural research has shown that adjacent time intervals in rhythms tend to be perceived and reproduced as approximate fractions of small numbers (e.g., 3/2). Recent work on iterated learning and reproduction further supports this: given a randomly timed drum pattern to reproduce, participants subconsciously transform it toward small integer ratios. The mechanisms accounting for this “attractor” phenomenon are little understood, but might be explained by combining two theoretical frameworks from psychophysics. The scalar expectancy theory describes time interval perception and reproduction in terms of Weber's law: just detectable durational differences equal a constant fraction of the reference duration. The notion of categorical perception emphasizes the tendency to perceive time intervals in categories, i.e., “short” vs. “long.” In this piece, we put forward the hypothesis that the integer-ratio bias in rhythm perception and production might arise from the interaction of the scalar property of timing with the categorical perception of time intervals, and that neurally it can plausibly be related to oscillatory activity. We support our integrative approach with mathematical derivations to formalize assumptions and provide testable predictions. We present equations to calculate durational ratios by: (i) parameterizing the relationship between durational categories, (ii) assuming a scalar timing constant, and (iii) specifying one (of K) category of ratios. Our derivations provide the basis for future computational, behavioral, and neurophysiological work to test our model.

          Related collections

          Most cited references57

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

          What makes us tick? Functional and neural mechanisms of interval timing.

          Time is a fundamental dimension of life. It is crucial for decisions about quantity, speed of movement and rate of return, as well as for motor control in walking, speech, playing or appreciating music, and participating in sports. Traditionally, the way in which time is perceived, represented and estimated has been explained using a pacemaker-accumulator model that is not only straightforward, but also surprisingly powerful in explaining behavioural and biological data. However, recent advances have challenged this traditional view. It is now proposed that the brain represents time in a distributed manner and tells the time by detecting the coincidental activation of different neural populations.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Scalar expectancy theory and Weber's law in animal timing.

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

              Temporal context calibrates interval timing

              We use our sense of time to identify temporal relationships between events and to anticipate actions. How well we can exploit temporal contingencies depends on the variability of our measurements of time. We asked humans to reproduce time intervals drawn from different underlying distributions. As expected, production times were more variable for longer intervals. Surprisingly however, production times exhibited a systematic regression towards the mean. Consequently, estimates for a sample interval differed depending on the distribution from which it was drawn. A performance-optimizing Bayesian model that takes the underlying distribution of samples into account provided an accurate description of subjects’ performance, variability and bias. This finding suggests that the central nervous system incorporates knowledge about temporal uncertainty to adapt internal timing mechanisms to the temporal statistics of the environment.
                Bookmark

                Author and article information

                Contributors
                Journal
                Front Comput Neurosci
                Front Comput Neurosci
                Front. Comput. Neurosci.
                Frontiers in Computational Neuroscience
                Frontiers Media S.A.
                1662-5188
                28 November 2018
                2018
                : 12
                : 86
                Affiliations
                [1] 1Language and Cognition Department, Max Planck Institute for Psycholinguistics , Nijmegen, Netherlands
                [2] 2Artificial Intelligence Lab, Vrije Universiteit Brussel , Brussels, Belgium
                [3] 3Research Department, Sealcentre Pieterburen , Pieterburen, Netherlands
                [4] 4Department of Clinical Medicine, Center for Music in the Brain, Aarhus University , Aarhus, Denmark
                Author notes

                Edited by: Dezhong Yao, University of Electronic Science and Technology of China, China

                Reviewed by: Hugo Merchant, Universidad Nacional Autónoma de México, Mexico; Daya Shankar Gupta, Camden County College, United States

                *Correspondence: Andrea Ravignani andrea.ravignani@ 123456gmail.com

                †These authors have contributed equally to this work

                Article
                10.3389/fncom.2018.00086
                6282044
                11e2d4e3-acba-4213-858c-c5729d51cbd9
                Copyright © 2018 Ravignani, Thompson, Lumaca and Grube.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 28 February 2018
                : 01 October 2018
                Page count
                Figures: 2, Tables: 0, Equations: 12, References: 72, Pages: 9, Words: 6075
                Categories
                Neuroscience
                Perspective

                Neurosciences
                rhythm,music perception,scalar expectancy theory,neural oscillations,integer ratio
                Neurosciences
                rhythm, music perception, scalar expectancy theory, neural oscillations, integer ratio

                Comments

                Comment on this article