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      Temporal Processing in Audition: Insights from Music

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          Highlights

          • What music psychology reveals about the natural bounds of human temporal processing.

          • Psychoacoustics of beat perception.

          • Neurophysiology of beat perception.

          • Predictable timing in auditory perception.

          • Neural mechanisms of timing.

          Abstract

          Music is a curious example of a temporally patterned acoustic stimulus, and a compelling pan-cultural phenomenon. This review strives to bring some insights from decades of music psychology and sensorimotor synchronization (SMS) literature into the mainstream auditory domain, arguing that musical rhythm perception is shaped in important ways by temporal processing mechanisms in the brain. The feature that unites these disparate disciplines is an appreciation of the central importance of timing, sequencing, and anticipation. Perception of musical rhythms relies on an ability to form temporal predictions, a general feature of temporal processing that is equally relevant to auditory scene analysis, pattern detection, and speech perception. By bringing together findings from the music and auditory literature, we hope to inspire researchers to look beyond the conventions of their respective fields and consider the cross-disciplinary implications of studying auditory temporal sequence processing.

          We begin by highlighting music as an interesting sound stimulus that may provide clues to how temporal patterning in sound drives perception. Next, we review the SMS literature and discuss possible neural substrates for the perception of, and synchronization to, musical beat. We then move away from music to explore the perceptual effects of rhythmic timing in pattern detection, auditory scene analysis, and speech perception. Finally, we review the neurophysiology of general timing processes that may underlie aspects of the perception of rhythmic patterns. We conclude with a brief summary and outlook for future research.

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          Most cited references149

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          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.
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            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.
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              Phase patterns of neuronal responses reliably discriminate speech in human auditory cortex.

              How natural speech is represented in the auditory cortex constitutes a major challenge for cognitive neuroscience. Although many single-unit and neuroimaging studies have yielded valuable insights about the processing of speech and matched complex sounds, the mechanisms underlying the analysis of speech dynamics in human auditory cortex remain largely unknown. Here, we show that the phase pattern of theta band (4-8 Hz) responses recorded from human auditory cortex with magnetoencephalography (MEG) reliably tracks and discriminates spoken sentences and that this discrimination ability is correlated with speech intelligibility. The findings suggest that an approximately 200 ms temporal window (period of theta oscillation) segments the incoming speech signal, resetting and sliding to track speech dynamics. This hypothesized mechanism for cortical speech analysis is based on the stimulus-induced modulation of inherent cortical rhythms and provides further evidence implicating the syllable as a computational primitive for the representation of spoken language.
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                Author and article information

                Contributors
                Journal
                Neuroscience
                Neuroscience
                Neuroscience
                Elsevier Science
                0306-4522
                1873-7544
                01 October 2018
                01 October 2018
                : 389
                : 4-18
                Affiliations
                [a ]Auditory Neuroscience Group, University of Oxford, Department of Physiology, Anatomy, and Genetics, Oxford, UK
                [b ]City University of Hong Kong, Department of Biomedical Sciences, 31 To Yuen Street, Kowloon Tong, Hong Kong
                Author notes
                [* ]Corresponding author. wschnupp@ 123456cityu.edu.hk
                [†]

                Sundeep Teki and Jan W. H. Schnupp contributed equally as last authors.

                Article
                S0306-4522(17)30778-9
                10.1016/j.neuroscience.2017.10.041
                6371985
                29108832
                547a8c24-b2fb-48f2-9d08-cb9b586714a8
                © 2017 The Authors

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

                History
                : 25 August 2017
                : 27 October 2017
                Categories
                Article

                Neurosciences
                bi, beat induction,eeg, electroencephalography,erps, event-related potentials,ioi, inter-onset interval,nma, negative mean asynchrony,sms, sensorimotor synchronization,ssa, stimulus-specific adaptation,music psychology,sensorimotor synchronization,beat perception,rhythm perception,auditory scene analysis,temporal prediction

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