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Speed, accuracy, and serial order in sequence production.

Peter Q Pfordresher1, Caroline Palmer, Melissa K Jungers

  • 1Department of Psychology and Institute for Music Research, The University of Texas, San AntonioDepartment of Psychology, McGill UniversityDepartment of Psychology, Ohio State University, Newark.

Cognitive Science
|June 4, 2011
PubMed
Summary
This summary is machine-generated.

This study introduces a model for sequence production, showing that memory retrieval is influenced by surrounding events. Slower rates improve accuracy by increasing context activation, benefiting working memory and skill.

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Area of Science:

  • Cognitive Psychology
  • Music Cognition
  • Computational Neuroscience

Background:

  • Producing complex sequences (music, speech) demands rapid, precise event timing.
  • Memory retrieval may involve simultaneous activation of current events and context.
  • Existing models of sequence production need refinement to account for contextual influences.

Purpose of the Study:

  • To extend an incremental retrieval model for sequence production.
  • To incorporate contextual activation influencing current event retrieval.
  • To predict error rates, speed-accuracy trade-offs, and serial ordering errors.

Main Methods:

  • Developed an extended computational model of incremental retrieval.
  • Modeled the influence of surrounding event activations on current event retrieval.
  • Tested model predictions against empirical data from pianists performing music at varying tempi.

Main Results:

  • The model accurately predicted overall error rates and speed-accuracy trade-offs.
  • Model predictions aligned with observed serial ordering errors in music performance.
  • Individual parameter fits indicated contributions of working memory, motor dexterity, and domain-specific skills.

Conclusions:

  • Contextual activation plays a crucial role in the speed and accuracy of sequence production.
  • Slower production rates enhance accuracy by allowing greater contextual influence.
  • Working memory, motor skills, and domain expertise modulate sequence production performance.