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Masked primes evoke partial responses.

Jennifer McBride1,2, Petroc Sumner3, Masud Husain4,5

  • 11 Institute of Cognitive Neuroscience and Institute of Neurology, University College London, London, UK.

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|May 12, 2017
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Summary
This summary is machine-generated.

Unconscious masked primes activate and inhibit motor plans. These primes can trigger partial, erroneous motor decisions, challenging the idea of purely sub-threshold processing and offering new insights into decision-making models.

Keywords:
Masked primingSimon effectautomatic inhibitioncontinuous responsedecision-makingmotor control

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Area of Science:

  • Cognitive Neuroscience
  • Psychology
  • Motor Control

Background:

  • Unconscious stimuli (masked primes) can influence subsequent responses.
  • Previous research inferred sub-threshold activation and inhibition of motor plans.
  • The extent of response resolution and pre-decision execution remains unclear.

Purpose of the Study:

  • To investigate the dynamic response patterns evoked by masked primes.
  • To determine if motor responses begin execution before conscious decision-making.
  • To differentiate masked prime effects from spatial compatibility effects.

Main Methods:

  • Utilized force-sensing resistors to continuously measure voltage changes in both hands.
  • Analyzed motor activation and inhibition patterns in response to masked primes.
  • Assessed the interaction between masked prime effects and spatial compatibility (Simon) effects.

Main Results:

  • Observed the predicted pattern of motor activation and subsequent inhibition by masked primes.
  • Found no interaction between masked prime effects and spatial compatibility effects, suggesting distinct neural mechanisms.
  • Detected partial motor decisions, manifesting as brief, erroneous responses, which were rapidly corrected.

Conclusions:

  • Masked primes elicit measurable, partial motor decisions, questioning their purely 'sub-threshold' nature.
  • Evidence suggests that activated responses can initiate execution before a final decision is made.
  • Findings provide critical constraints for computational models of decision-making processes.