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Numerical-spatial representation affects spatial coding: binding errors across the numerical distance effect.

Isabel Arend1, Sharon Naparstek, Avishai Henik

  • 1Department of Psychology and the Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Beer-Sheva, Israel, arend.psy@gmail.com.

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Numerical-spatial representation impacts feature binding. This study shows that numerical distance effects influence illusory conjunctions, suggesting numbers rely on spatial coding for visual processing.

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Area of Science:

  • Cognitive Psychology
  • Neuroscience
  • Visual Perception

Background:

  • Feature binding in visual attention is susceptible to spatial coding errors, leading to illusory conjunctions (ICs).
  • Numerical cognition research indicates a strong link between number representation and spatial representation.
  • The numerical distance effect (DE) demonstrates faster responses with greater numerical differences, suggesting spatial underpinnings.

Purpose of the Study:

  • To investigate if numerical-spatial representations are accessible to visual processes requiring spatial coding, specifically feature binding.
  • To determine the role of numerical-spatial representation in the formation of illusory conjunctions.

Main Methods:

  • Participants performed a task identifying the larger of two colored numbers.
  • The experiment manipulated numerical distance (small vs. large) and number-space congruity.
  • The rate of illusory conjunctions was analyzed as a function of numerical distance and congruity.

Main Results:

  • A higher proportion of illusory conjunctions (ICs) was observed for smaller numerical distances compared to larger ones.
  • This pattern suggests that the spatial component of numerical representation is actively involved during the task.

Conclusions:

  • Numerical-spatial representation possesses a robust location code.
  • This spatial information is available to visual processes that depend on location, such as feature binding.
  • The findings support an integrated model of numerical and spatial cognition.