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

Akiko Iwaizumi, Ryoko Futami, Shin'ichiro 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 1

    ASJC Scopus subject areas

    • Biotechnology
    • Computer Science(all)

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