Extraction of color responses from visual evoked potentials using the binary kernel method

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Abstract

In order to investigate the nonlinearity and color responses of visual evoked potentials (VEPs), which have been useful in objectively detecting human color vision characteristics, a nonlinear system identification method was applied to VEPs elicited by isoluminant color stimuli, and the relationship between color stimuli and VEPs was examined. VEPs of normal subjects elicited by chromatically modulated stimuli were measured, and their binary kernels were estimated. Results showed that a system with chromatically modulated stimuli and VEP responses can be expressed by binary kernels up to the second order and that first- and second-order binary kernels depended on the color of the stimulus. The characteristics of second-order kernels reflected the difference between two chromatic channels. Opponent-color responses were included in first-order binary kernels, suggesting that they could be used as an index to test human color vision.

Original languageEnglish
Pages (from-to)124-131
Number of pages8
JournalIEICE Transactions on Information and Systems
VolumeE81-D
Issue number1
Publication statusPublished - 1998 Jan 1

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Keywords

  • Binary kernel
  • Human color vision
  • Opponent-color response
  • Pseudorandom binary sequence
  • VEP

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Artificial Intelligence

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