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two-dimensional gaussian noise made with the randn command  (MathWorks Inc)


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  • 90

    Structured Review

    MathWorks Inc two-dimensional gaussian noise made with the randn command
    ( a ) The mean total distance moved by the eye of one observer that was consistent with OKN in the stimulus direction, for 16 drifting noise trials across five spatial frequencies, and eight velocities. Note substantially more OKN consistent motion at lower SFs. ( b ) As ( a ) but showing the total proportion of eye movements consistent with OKN in the stimulus direction (C θ ). ( c ) The optimum velocity (derived from <t>log-Gaussian</t> fits to 6 observers similar to ( b )) as a function of SF. ( d ) As for ( c ) but showing the amplitude of the log-Gaussian fit (a measure of signal-to-noise ratio) which does not show a strong dependence on SF, within observer.
    Two Dimensional Gaussian Noise Made With The Randn Command, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/two-dimensional gaussian noise made with the randn command/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    two-dimensional gaussian noise made with the randn command - by Bioz Stars, 2026-04
    90/100 stars

    Images

    1) Product Images from "Similar contrast sensitivity functions measured using psychophysics and optokinetic nystagmus"

    Article Title: Similar contrast sensitivity functions measured using psychophysics and optokinetic nystagmus

    Journal: Scientific Reports

    doi: 10.1038/srep34514

    ( a ) The mean total distance moved by the eye of one observer that was consistent with OKN in the stimulus direction, for 16 drifting noise trials across five spatial frequencies, and eight velocities. Note substantially more OKN consistent motion at lower SFs. ( b ) As ( a ) but showing the total proportion of eye movements consistent with OKN in the stimulus direction (C θ ). ( c ) The optimum velocity (derived from log-Gaussian fits to 6 observers similar to ( b )) as a function of SF. ( d ) As for ( c ) but showing the amplitude of the log-Gaussian fit (a measure of signal-to-noise ratio) which does not show a strong dependence on SF, within observer.
    Figure Legend Snippet: ( a ) The mean total distance moved by the eye of one observer that was consistent with OKN in the stimulus direction, for 16 drifting noise trials across five spatial frequencies, and eight velocities. Note substantially more OKN consistent motion at lower SFs. ( b ) As ( a ) but showing the total proportion of eye movements consistent with OKN in the stimulus direction (C θ ). ( c ) The optimum velocity (derived from log-Gaussian fits to 6 observers similar to ( b )) as a function of SF. ( d ) As for ( c ) but showing the amplitude of the log-Gaussian fit (a measure of signal-to-noise ratio) which does not show a strong dependence on SF, within observer.

    Techniques Used: Derivative Assay



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    MathWorks Inc two-dimensional gaussian noise made with the randn command
    ( a ) The mean total distance moved by the eye of one observer that was consistent with OKN in the stimulus direction, for 16 drifting noise trials across five spatial frequencies, and eight velocities. Note substantially more OKN consistent motion at lower SFs. ( b ) As ( a ) but showing the total proportion of eye movements consistent with OKN in the stimulus direction (C θ ). ( c ) The optimum velocity (derived from <t>log-Gaussian</t> fits to 6 observers similar to ( b )) as a function of SF. ( d ) As for ( c ) but showing the amplitude of the log-Gaussian fit (a measure of signal-to-noise ratio) which does not show a strong dependence on SF, within observer.
    Two Dimensional Gaussian Noise Made With The Randn Command, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/two-dimensional gaussian noise made with the randn command/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    two-dimensional gaussian noise made with the randn command - by Bioz Stars, 2026-04
    90/100 stars
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    ( a ) The mean total distance moved by the eye of one observer that was consistent with OKN in the stimulus direction, for 16 drifting noise trials across five spatial frequencies, and eight velocities. Note substantially more OKN consistent motion at lower SFs. ( b ) As ( a ) but showing the total proportion of eye movements consistent with OKN in the stimulus direction (C θ ). ( c ) The optimum velocity (derived from log-Gaussian fits to 6 observers similar to ( b )) as a function of SF. ( d ) As for ( c ) but showing the amplitude of the log-Gaussian fit (a measure of signal-to-noise ratio) which does not show a strong dependence on SF, within observer.

    Journal: Scientific Reports

    Article Title: Similar contrast sensitivity functions measured using psychophysics and optokinetic nystagmus

    doi: 10.1038/srep34514

    Figure Lengend Snippet: ( a ) The mean total distance moved by the eye of one observer that was consistent with OKN in the stimulus direction, for 16 drifting noise trials across five spatial frequencies, and eight velocities. Note substantially more OKN consistent motion at lower SFs. ( b ) As ( a ) but showing the total proportion of eye movements consistent with OKN in the stimulus direction (C θ ). ( c ) The optimum velocity (derived from log-Gaussian fits to 6 observers similar to ( b )) as a function of SF. ( d ) As for ( c ) but showing the amplitude of the log-Gaussian fit (a measure of signal-to-noise ratio) which does not show a strong dependence on SF, within observer.

    Article Snippet: Patterns were two-dimensional Gaussian noise (made with the randn command in Matlab), filtered to be isotropic and spatial-frequency (SF) band-pass ( ).

    Techniques: Derivative Assay