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N2pc reflects two modes for coding the number of visual targets.

S Benavides-Varela1,2, S Basso Moro3,4, S Brigadoi1

  • 1Department of Developmental Psychology, University of Padova, Padova, Italy.

Psychophysiology
|August 11, 2018
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Summary

Humans can match visual objects to sounds, a skill studied using event-related potentials (ERPs). The N2pc component reveals two distinct ways the brain represents visual quantities, one for exact counting and another for spontaneous cross-modal matching.

Keywords:
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Area of Science:

  • Cognitive Neuroscience
  • Psychology
  • Neuroscience

Background:

  • Humans and animals share an innate ability to perceive numerical correspondences between visual objects and auditory events.
  • The parieto-occipital event-related potential (ERP) component, N2pc, is known to correlate with the quantity of visual targets during explicit enumeration.

Purpose of the Study:

  • To investigate how the brain generates mental representations of numerical information in the visual modality.
  • To explore the role of the N2pc component in processing visual quantities and cross-modal numerical matching.

Main Methods:

  • Participants performed tasks involving auditory tone sequences and visual search displays with varying numbers of targets.
  • Electroencephalography (EEG) was used to monitor the N2pc component, a specific ERP.
  • Two experiments were conducted: one requiring numerical correspondence judgment and another focused on target detection.

Main Results:

  • Experiment 1 showed N2pc amplitude increasing with the number of visual targets, followed by a centroparietal ERP modulated by numerical correspondence.
  • Experiment 2 revealed that while N2pc amplitude did not increase with target number, numerical correspondence still influenced it.
  • Comparison between experiments suggested N2pc reflects two distinct visual number representation modes.

Conclusions:

  • The N2pc component is involved in representing visual quantities through two distinct mechanisms.
  • One mode allows for controlled, exact target individuation via visual segregation.
  • A second, likely spontaneous mode, extracts approximate numerical information for cross-modal matching.