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Related Concept Videos

Sound Intensity Level00:53

Sound Intensity Level

Humans perceive sound by hearing. The human ear helps sound waves reach the brain, which then interprets the waves and creates the perception of hearing. The loudness of the environment in which a person is located determines whether they can distinguish between different sound sources.
The human ear can perceive an extensive range of sound intensity, necessitating the use of the logarithmic scale to define a physical quantity—the intensity level. It is a ratio of two intensities and hence a...

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Nonverbal arithmetic in humans: light from noise.

Sara Cordes1, C R Gallistel, Rochel Gelman

  • 1Department Of Psychology and Neuroscience, Duke University, Durham, North Carolina 27708-90999, USA. scordes@duke.edu

Perception & Psychophysics
|November 28, 2007
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This study shows that variability in arithmetic responses stems from both input numbers and the answer, with input numbers being the primary driver. These findings offer insights into nonverbal number representation and processing.

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Area of Science:

  • Cognitive Psychology
  • Comparative Cognition
  • Numerical Cognition

Background:

  • Evidence suggests a cross-species analog number system for representing magnitudes.
  • The arithmetic manipulation of these nonverbal representations is not well understood.

Purpose of the Study:

  • To investigate the properties of combinatorial processes in nonverbal magnitude representation.
  • To analyze variability in arithmetic responses involving nonverbal counts.

Main Methods:

  • Human subjects performed tasks involving addition, subtraction, or reproduction of nonverbal counts.
  • Variance analyses were employed to examine response variability.

Main Results:

  • Variability in arithmetic responses was influenced by the magnitude of both inputs and the answer.
  • Operand variability was the dominant factor contributing to response variance.

Conclusions:

  • The findings provide insights into the mechanisms underlying arithmetic operations on nonverbal magnitudes.
  • Results inform models of numerical cognition, distinguishing between logarithmic and scalar representations.