Characteristics of human luminance discrimination and modeling a neural network based on the response properties of the visual cortex

Akiko Iwaizumi, Ryoko Futami, Shinichiro Kanoh, Jiro Gyoba

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Reaction time (RT) and error rate that depend on stimulus duration were measured in a luminance-discrimination reaction time task. Two patches of light with different luminance were presented to participants for 'short' (150 ms) or 'long' (1 s) period on each trial. When the stimulus duration was 'short', the participants responded more rapidly with poorer discrimination performance than they did in the longer duration. The results suggested that different sensory responses in the visual cortices were responsible for the dependence of response speed and accuracy on the stimulus duration during the luminance-discrimination reaction time task. It was shown that the simple winner-take-all-type neural network model receiving transient and sustained stimulus information from the primary visual cortex successfully reproduced RT distributions for correct responses and error rates. Moreover, temporal spike sequences obtained from the model network closely resembled to the neural activity in the monkey prefrontal or parietal area during other visual decision tasks such as motion discrimination and oddball detection tasks.

Original languageEnglish
Pages (from-to)381-392
Number of pages12
JournalBiological Cybernetics
Volume94
Issue number5
DOIs
Publication statusPublished - 2006 May
Externally publishedYes

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Luminance
Neural networks

ASJC Scopus subject areas

  • Biophysics

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Characteristics of human luminance discrimination and modeling a neural network based on the response properties of the visual cortex. / Iwaizumi, Akiko; Futami, Ryoko; Kanoh, Shinichiro; Gyoba, Jiro.

In: Biological Cybernetics, Vol. 94, No. 5, 05.2006, p. 381-392.

Research output: Contribution to journalArticle

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