56
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Interactional synchrony: signals, mechanisms and benefits

      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

          Many group-living animals, humans included, occasionally synchronize their behavior with that of conspecifics. Social psychology and neuroscience have attempted to explain this phenomenon. Here we sought to integrate results around three themes: the stimuli, the mechanisms and the benefits of interactional synchrony. As regards stimuli, we asked what characteristics, apart from temporal regularity, prompt synchronization and found that stimulus modality and complexity are important. The high temporal resolution of the auditory system and the relevance of socio-emotional information endow auditory, multimodal, emotional and somewhat variable and adaptive sequences with particular synchronizing power. Looking at the mechanisms revealed that traditional perspectives emphasizing beat-based representations of others’ signals conflict with more recent work investigating the perception of temporal regularity. Timing processes supported by striato-cortical loops represent any kind of repetitive interval sequence fairly automatically. Additionally, socio-emotional processes supported by posterior superior temporal cortex help endow such sequences with value motivating the extent of synchronizing. Synchronizing benefits arise from an increased predictability of incoming signals and include many positive outcomes ranging from basic information processing at the individual level to the bonding of dyads and larger groups.

          Related collections

          Most cited references158

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

          The free-energy principle: a unified brain theory?

          A free-energy principle has been proposed recently that accounts for action, perception and learning. This Review looks at some key brain theories in the biological (for example, neural Darwinism) and physical (for example, information theory and optimal control theory) sciences from the free-energy perspective. Crucially, one key theme runs through each of these theories - optimization. Furthermore, if we look closely at what is optimized, the same quantity keeps emerging, namely value (expected reward, expected utility) or its complement, surprise (prediction error, expected cost). This is the quantity that is optimized under the free-energy principle, which suggests that several global brain theories might be unified within a free-energy framework.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            A theory of cortical responses.

            This article concerns the nature of evoked brain responses and the principles underlying their generation. We start with the premise that the sensory brain has evolved to represent or infer the causes of changes in its sensory inputs. The problem of inference is well formulated in statistical terms. The statistical fundaments of inference may therefore afford important constraints on neuronal implementation. By formulating the original ideas of Helmholtz on perception, in terms of modern-day statistical theories, one arrives at a model of perceptual inference and learning that can explain a remarkable range of neurobiological facts.It turns out that the problems of inferring the causes of sensory input (perceptual inference) and learning the relationship between input and cause (perceptual learning) can be resolved using exactly the same principle. Specifically, both inference and learning rest on minimizing the brain's free energy, as defined in statistical physics. Furthermore, inference and learning can proceed in a biologically plausible fashion. Cortical responses can be seen as the brain's attempt to minimize the free energy induced by a stimulus and thereby encode the most likely cause of that stimulus. Similarly, learning emerges from changes in synaptic efficacy that minimize the free energy, averaged over all stimuli encountered. The underlying scheme rests on empirical Bayes and hierarchical models of how sensory input is caused. The use of hierarchical models enables the brain to construct prior expectations in a dynamic and context-sensitive fashion. This scheme provides a principled way to understand many aspects of cortical organization and responses. The aim of this article is to encompass many apparently unrelated anatomical, physiological and psychophysical attributes of the brain within a single theoretical perspective. In terms of cortical architectures, the theoretical treatment predicts that sensory cortex should be arranged hierarchically, that connections should be reciprocal and that forward and backward connections should show a functional asymmetry (forward connections are driving, whereas backward connections are both driving and modulatory). In terms of synaptic physiology, it predicts associative plasticity and, for dynamic models, spike-timing-dependent plasticity. In terms of electrophysiology, it accounts for classical and extra classical receptive field effects and long-latency or endogenous components of evoked cortical responses. It predicts the attenuation of responses encoding prediction error with perceptual learning and explains many phenomena such as repetition suppression, mismatch negativity (MMN) and the P300 in electroencephalography. In psychophysical terms, it accounts for the behavioural correlates of these physiological phenomena, for example, priming and global precedence. The final focus of this article is on perceptual learning as measured with the MMN and the implications for empirical studies of coupling among cortical areas using evoked sensory responses.
              Bookmark
              • 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

                Author and article information

                Contributors
                Journal
                Soc Cogn Affect Neurosci
                Soc Cogn Affect Neurosci
                scan
                Social Cognitive and Affective Neuroscience
                Oxford University Press (UK )
                1749-5016
                1749-5024
                Jan-Feb 2021
                03 March 2020
                03 March 2020
                : 16
                : 1-2 , Interpersonal Synchrony Special Issue
                : 5-18
                Affiliations
                Department of Developmental and Educational Psychology, Faculty of Psychology, University of Vienna , Liebiggasse 5, 1010 Vienna, Austria
                Institute for Psychology , Bundeswehr University Munich, Germany
                Munich Center for Neuroscience , Ludwig Maximilian University, Germany
                Department of Psychology , The Chinese University of Hong Kong, 3rd Floor, Sino Building, Shatin, N.T., Hong Kong
                Brain and Mind Institute , The Chinese University of Hong Kong, 3rd Floor, Sino Building, Shatin, N.T., Hong Kong
                Center for Cognition and Brain Studies , The Chinese University of Hong Kong, 3rd Floor, Sino Building, Shatin, N.T., Hong Kong
                Author notes
                Correspondence should be addressed to Annett Schirmer, Department of Psychology, The Chinese University of Hong Kong, 3rd Floor, Sino Building, Shatin, N.T., Hong Kong. E-mail: schirmer@ 123456cuhk.edu.hk
                Article
                nsaa024
                10.1093/scan/nsaa024
                7812629
                32128587
                fc9618cc-ab14-49ae-a4f6-9189d14b4ad5
                © The Author(s) 2020. Published by Oxford University Press.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 18 September 2019
                : 13 February 2020
                : 24 February 2020
                Page count
                Pages: 14
                Funding
                Funded by: Hong Kong Research Grants Council;
                Award ID: 14612318
                Categories
                Original Manuscript
                AcademicSubjects/SCI01880

                Neurosciences
                interactional rhythm,entrainment,timing,social bonding
                Neurosciences
                interactional rhythm, entrainment, timing, social bonding

                Comments

                Comment on this article