5
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      A common computational principle for vibrotactile pitch perception in mouse and human

      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

          We live surrounded by vibrations generated by moving objects. These oscillatory stimuli propagate through solid substrates, are sensed by mechanoreceptors in our body and give rise to perceptual attributes such as vibrotactile pitch (i.e. the perception of how high or low a vibration’s frequency is). Here, we establish a mechanistic relationship between vibrotactile pitch perception and the physical properties of vibrations using behavioral tasks, in which vibratory stimuli were delivered to the human fingertip or the mouse forelimb. The resulting perceptual reports were analyzed with a model demonstrating that physically different combinations of vibration frequencies and amplitudes can produce equal pitch perception. We found that the perceptually indistinguishable but physically different stimuli follow a common computational principle in mouse and human. It dictates that vibrotactile pitch perception is shifted with increases in amplitude toward the frequency of highest vibrotactile sensitivity. These findings suggest the existence of a fundamental relationship between the seemingly unrelated concepts of spectral sensitivity and pitch perception.

          Abstract

          The features of vibrations provide key information on the surrounding environment. Here the authors show that a common computational principle underlies vibrotactile pitch perception in both mice and humans.

          Related collections

          Most cited references24

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

          The Behavioral Ecology of Insect Vibrational Communication

            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found
            Is Open Access

            Painfree and accurate Bayesian estimation of psychometric functions for (potentially) overdispersed data.

            The psychometric function describes how an experimental variable, such as stimulus strength, influences the behaviour of an observer. Estimation of psychometric functions from experimental data plays a central role in fields such as psychophysics, experimental psychology and in the behavioural neurosciences. Experimental data may exhibit substantial overdispersion, which may result from non-stationarity in the behaviour of observers. Here we extend the standard binomial model which is typically used for psychometric function estimation to a beta-binomial model. We show that the use of the beta-binomial model makes it possible to determine accurate credible intervals even in data which exhibit substantial overdispersion. This goes beyond classical measures for overdispersion-goodness-of-fit-which can detect overdispersion but provide no method to do correct inference for overdispersed data. We use Bayesian inference methods for estimating the posterior distribution of the parameters of the psychometric function. Unlike previous Bayesian psychometric inference methods our software implementation-psignifit 4-performs numerical integration of the posterior within automatically determined bounds. This avoids the use of Markov chain Monte Carlo (MCMC) methods typically requiring expert knowledge. Extensive numerical tests show the validity of the approach and we discuss implications of overdispersion for experimental design. A comprehensive MATLAB toolbox implementing the method is freely available; a python implementation providing the basic capabilities is also available.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Responses of mechanoreceptive afferent units in the glabrous skin of the human hand to sinusoidal skin displacements.

              The impulse responses to perpendicular sinusoidal skin displacements were recorded from 4 different types of mechanoreceptive different units innervating the glabrous skin of the human hand. The cycle responses, defined as the number of impulses evoked per sine wave cycle, were studied at a wide range of frequencies (0.5-400 Hz) and amplitudes (0.001-1mm). The rapidly adapting units (RA) were most easily excited at stimulus frequencies between 8 and 64 Hz, whereas the corresponding frequencies for the Pacinian units (PC) were above 64 Hz. However, at high stimulus amplitudes, the RA and the PC units showed quite similar response profiles within the range of frequencies tested. The sensitivities of the slowly adapting unit types (SA I and SA II) were greatest at lower frequencies. A characteristic finding for all 4 types of units was that the higher the amplitude, the lower the frequency at which the cycle response was maximal.
                Bookmark

                Author and article information

                Contributors
                mario.prsa@unifr.ch
                daniel.huber@unige.ch
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                9 September 2021
                9 September 2021
                2021
                : 12
                : 5336
                Affiliations
                [1 ]GRID grid.8534.a, ISNI 0000 0004 0478 1713, Department of Neuroscience and Movement Science, , University of Fribourg, ; Fribourg, Switzerland
                [2 ]GRID grid.8591.5, ISNI 0000 0001 2322 4988, Department of Basic Neurosciences, , University of Geneva, ; Geneva, Switzerland
                Author information
                http://orcid.org/0000-0001-5012-2506
                http://orcid.org/0000-0002-0744-7679
                Article
                25476
                10.1038/s41467-021-25476-9
                8429766
                34504074
                a2a2f78d-e2b9-4ac0-8557-2d2d3a17fd7b
                © The Author(s) 2021

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 10 December 2020
                : 9 August 2021
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100001711, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation);
                Award ID: 310030_184829/1
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/501100001708, International Foundation for Research in Paraplegia (Internationale Stiftung für Forschung in Paraplegie);
                Award ID: --
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/501100007673, Fondation Centre de Recherches Médicales Carlos et Elsie de Reuter (Medical Research Centre Foundation of Carlos and Elsie Reuter);
                Award ID: --
                Award Recipient :
                Categories
                Article
                Custom metadata
                © The Author(s) 2021

                Uncategorized
                sensory processing,touch receptors
                Uncategorized
                sensory processing, touch receptors

                Comments

                Comment on this article