Visual perception of stochastic resonance

Enrico Simonotto, Massimo Riani, Charles Seife, Mark Roberts, Jennifer Twitty, Frank Moss

    Research output: Contribution to journalArticlepeer-review

    Abstract

    Stochastic resonance can be used as a measuring tool to quantify the ability of the human brain to interpret noise contaminated visual patterns. Here we report the results of a psychophysics experiment which show that the brain can consistently and quantitatively interpret detail in a stationary image obscured with time varying noise and that both the noise intensity and its temporal characteristics strongly determine the perceived image quality.

    Original languageEnglish (US)
    Pages (from-to)1186-1189
    Number of pages4
    JournalPhysical Review Letters
    Volume78
    Issue number6
    DOIs
    StatePublished - Feb 10 1997

    ASJC Scopus subject areas

    • Physics and Astronomy(all)

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