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Related Experiment Video

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Historical View and Physiology Demonstration at the NMJ of the Crayfish Opener Muscle
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SNARC Effect in Different Effectors.

Philipp N Hesse1, Katja Fiehler2, Frank Bremmer3

  • 1Philipps-Universität Marburg, Marburg, Germany Philipp.Hesse@physik.uni-marburg.de.

Perception
|November 13, 2015
PubMed
Summary
This summary is machine-generated.

The spatial numerical association of response codes (SNARC) effect shows number-space mapping varies by response type. This study found the SNARC effect is effector-specific, not universal across all movements.

Keywords:
SNARCeffectormental number linepointingsaccadesensory-to-motor mapping

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Area of Science:

  • Cognitive Psychology
  • Neuroscience
  • Human-Computer Interaction

Background:

  • The spatial numerical association of response codes (SNARC) effect suggests humans spatially organize numerical representations.
  • Prior research indicated modality independence of the SNARC effect.
  • The specific sensory-to-motor mappings underlying the SNARC effect and their effector-specificity remain unclear.

Purpose of the Study:

  • To investigate whether the SNARC effect is effector-specific.
  • To determine if sensory-to-motor mappings for the SNARC effect are consistent across different effectors within individuals.

Main Methods:

  • Participants completed an auditory parity judgment task.
  • Responses were made using three distinct effectors: finger (button release), eyes (saccades), and arm (pointing).
  • SNARC effect strength was measured for each effector and correlations were analyzed across participants.

Main Results:

  • The SNARC effect was observed across all three effectors (finger, eyes, arm).
  • SNARC strength varied significantly between different effectors.
  • A significant correlation in SNARC strength was found between finger and arm responses, but not between effectors involving the eyes.

Conclusions:

  • The SNARC effect demonstrates effector specificity.
  • Shared sensory-to-motor mappings exist for similar effectors (e.g., finger and arm).
  • The findings suggest that the sensory-to-motor mapping for numerical cognition is not universally applied across all response types.