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Related Concept Videos

Gain01:15

Gain

174
Gain and phase shift are properties of linear circuits that describe the effect a circuit has on a sinusoidal input voltage or current. The circuit's behavior that contains reactive elements will depend on the frequency of the input sinusoid. As a result, it is observed that the gain and phase shift will all be frequency functions.
Gain:
Suppose Vin is the input and Vout is the output signal to a circuit.
174
Phase-lead and Phase-lag Controllers01:22

Phase-lead and Phase-lag Controllers

167
Understanding the working function of different types of controllers can be illustrated with practical analogies, such as adjusting a stereo's volume equalizer. Cranking up the bass involves a phase-lead controller, which functions as a high-pass filter, while increasing the treble uses a phase-lag controller, which acts as a low-pass filter. PD controllers, similar to high-pass filters, enhance the system's response to high-frequency components. PI controllers, akin to low-pass...
167

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Related Experiment Video

Updated: Jun 22, 2025

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Segmenting and Predicting Musical Phrase Structure Exploits Neural Gain Modulation and Phase Precession.

Xiangbin Teng1, Pauline Larrouy-Maestri2,3, David Poeppel3,4,5,6

  • 1Department of Psychology, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China xiangbinteng@cuhk.edu.hk.

The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
|June 26, 2024
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Summary

The brain actively tracks musical phrases using a neural signature around 0.1 Hz, similar to how it processes language. This demonstrates real-time construction of complex musical structures over long periods.

Keywords:
event segmentationhierarchical structuremusical phraseneural entrainmentphase precessiontemporal prediction

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Music Cognition

Background:

  • Music and language share hierarchical structures.
  • Previous research identified neural tracking of musical notes and beats.
  • Understanding how the brain processes high-level musical structure in real-time remains an open question.

Purpose of the Study:

  • To investigate how the brain tracks musical phrases in real-time.
  • To identify neural signatures associated with processing high-level musical structures.
  • To compare musical structure processing with language processing.

Main Methods:

  • Electroencephalogram (EEG) recording was used on participants listening to Bach chorales.
  • Temporal cues for phrasal structure were removed, relying solely on harmonic information.
  • Harmonic progressions were manipulated (locally/globally reversed) to control for phrasal structure.
  • A novel method quantified phrasal phase precession in EEG power.

Main Results:

  • Neural tracking of musical notes and beats was replicated, confirming a link with musical training.
  • A neural signature in the ~0.1 Hz frequency range (EEG power modulations) reliably tracked musical phrasal structure.
  • Phrasal phase precession analysis indicated active segmentation and predictive processing in music perception.
  • The brain establishes musical structures online over timescales exceeding 5 seconds.

Conclusions:

  • The brain actively segments music streams, comparable to language processing.
  • Neural signatures of phrase tracking and phrasal phase precession offer tools for studying structure building.
  • This research provides insights into the neural mechanisms of real-time music cognition over long timescales.