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Neurobiology of Interval Timing

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Cover of 'Neurobiology of Interval Timing'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Introduction to the neurobiology of interval timing.
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    Chapter 2 About the (Non)scalar Property for Time Perception
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    Chapter 3 Elucidating the Internal Structure of Psychophysical Timing Performance in the Sub-second and Second Range by Utilizing Confirmatory Factor Analysis
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    Chapter 4 Neurocomputational models of time perception.
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    Chapter 5 Dedicated clock/timing-circuit theories of time perception and timed performance.
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    Chapter 6 Neural Dynamics Based Timing in the Subsecond to Seconds Range
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    Chapter 7 Signs of Timing in Motor Cortex During Movement Preparation and Cue Anticipation
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    Chapter 8 Neurophysiology of Timing in the Hundreds of Milliseconds: Multiple Layers of Neuronal Clocks in the Medial Premotor Areas
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    Chapter 9 The Olivo-Cerebellar System as a Neural Clock
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    Chapter 10 From duration and distance comparisons to goal encoding in prefrontal cortex.
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    Chapter 11 Probing Interval Timing with Scalp-Recorded Electroencephalography (EEG)
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    Chapter 12 Searching for the Holy Grail: Temporally Informative Firing Patterns in the Rat
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    Chapter 13 Getting the Timing Right: Experimental Protocols for Investigating Time with Functional Neuroimaging and Psychopharmacology
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    Chapter 14 Motor and Perceptual Timing in Parkinson’s Disease
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    Chapter 15 Music perception: information flow within the human auditory cortices.
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    Chapter 16 Perceiving Temporal Regularity in Music: The Role of Auditory Event-Related Potentials (ERPs) in Probing Beat Perception.
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    Chapter 17 Neural Mechanisms of Rhythm Perception: Present Findings and Future Directions
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    Chapter 18 Neural underpinnings of music: the polyrhythmic brain.
Attention for Chapter 18: Neural underpinnings of music: the polyrhythmic brain.
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Chapter title
Neural underpinnings of music: the polyrhythmic brain.
Chapter number 18
Book title
Neurobiology of Interval Timing
Published in
Advances in experimental medicine and biology, January 2014
DOI 10.1007/978-1-4939-1782-2_18
Pubmed ID
Book ISBNs
978-1-4939-1781-5, 978-1-4939-1782-2
Authors

Peter Vuust, Line K Gebauer, Maria A G Witek, Line K. Gebauer, Maria A. G. Witek, Vuust, Peter, Gebauer, Line K., Witek, Maria A. G.

Abstract

Musical rhythm, consisting of apparently abstract intervals of accented temporal events, has the remarkable ability to move our minds and bodies. Why do certain rhythms make us want to tap our feet, bop our heads or even get up and dance? And how does the brain process rhythmically complex rhythms during our experiences of music? In this chapter, we describe some common forms of rhythmic complexity in music and propose that the theory of predictive coding can explain how rhythm and rhythmic complexity are processed in the brain. We also consider how this theory may reveal why we feel so compelled by rhythmic tension in music. First, musical-theoretical and neuroscientific frameworks of rhythm are presented, in which rhythm perception is conceptualized as an interaction between what is heard ('rhythm') and the brain's anticipatory structuring of music ('the meter'). Second, three different examples of tension between rhythm and meter in music are described: syncopation, polyrhythm and groove. Third, we present the theory of predictive coding of music, which posits a hierarchical organization of brain responses reflecting fundamental, survival-related mechanisms associated with predicting future events. According to this theory, perception and learning is manifested through the brain's Bayesian minimization of the error between the input to the brain and the brain's prior expectations. Fourth, empirical studies of neural and behavioral effects of syncopation, polyrhythm and groove will be reported, and we propose how these studies can be seen as special cases of the predictive coding theory. Finally, we argue that musical rhythm exploits the brain's general principles of anticipation and propose that pleasure from musical rhythm may be a result of such anticipatory mechanisms.

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 2%
Denmark 1 2%
Germany 1 2%
Unknown 62 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 18%
Researcher 9 14%
Student > Master 9 14%
Student > Doctoral Student 6 9%
Student > Bachelor 4 6%
Other 15 23%
Unknown 10 15%
Readers by discipline Count As %
Psychology 19 29%
Neuroscience 9 14%
Arts and Humanities 8 12%
Medicine and Dentistry 4 6%
Engineering 3 5%
Other 7 11%
Unknown 15 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 January 2019.
All research outputs
#13,415,768
of 22,769,322 outputs
Outputs from Advances in experimental medicine and biology
#1,883
of 4,929 outputs
Outputs of similar age
#163,297
of 305,310 outputs
Outputs of similar age from Advances in experimental medicine and biology
#64
of 138 outputs
Altmetric has tracked 22,769,322 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,929 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has gotten more attention than average, scoring higher than 59% of its peers.
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We're also able to compare this research output to 138 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.