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cumulative gaussian (normal) distribution function  (MathWorks Inc)


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    MathWorks Inc cumulative gaussian (normal) distribution function
    Cumulative Gaussian (Normal) Distribution Function, 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/product/cumulative+gaussian+function/pm39874754-111-8-21
    Average 90 stars, based on 1 article reviews
    cumulative gaussian (normal) distribution function - by Bioz Stars, 2026-11
    90/100 stars

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    Article Title: Electrode replacement does not affect classification accuracy in dual-session use of a passive brain-computer interface for assessing cognitive workload
    Article Snippet: The calculation of d' is given in Equation (1), where z() represents the inverse of a unit normal Gaussian cumulative distribution function (the “norminv” function in MATLAB, with μ = 0 and σ 2 = 1), and True Positive Rate (TPR) and False Positive Rate (FPR) are calculated from the test set confusion matrix and have a range of (0,1) (not inclusive).

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    Article Snippet: Taylor & Francis makes every effort to ensure the accuracy of all the information (the “Content”) contained in the publications on our platform.. However, Taylor & Francis, our agents, and our licensors make no representations or warranties whatsoever as to the accuracy, completeness, or suitability for any purpose of the Content.. Any opinions and views expressed in this publication are the opinions and views of the authors, and are not the views of or endorsed by Taylor & Francis.

    Article Title: Interaction of cesium compounds with abundant inorganic compounds of atmosphere: Effect on cloud formation potential and settling.
    Article Snippet: • Manuscript studies CCN activity of mixed aerosols containing nuclear fission products and atmospheric relevant particles • First time determination of activation fractions and activation diameters of these mixed particles of cesium.. • The experimental results have been compared with the available theoretical models of activation diameters of mixed compounds.. • Findings will improve accuracy in atmospheric models as well as nuclear safety models for predicting radionuclide behavior.

    Article Title: The role of target salience in crowding.
    Article Snippet: We studied c̀rowding' in the parafovea using orientation identification of a Gabor target as the task, and flanking Gabors on an isoeccentric circle as distractors.. Orientation-discrimination thresholds were raised by nearby flanking distractors.. This crowding effect was increased by the number of distractors and decreased by the spatial separation between target and distractors.

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    Article Title: Long-Term Exposure to American and European Movies and Television Series Facilitates Caucasian Face Perception in Young Chinese Watchers.
    Article Snippet: Most young Chinese people now learn about Caucasian individuals via media, especially American and European movies and television series (AEMT).. The current study aimed to explore whether long-term exposure to AEMT facilitates Caucasian face perception in young Chinese watchers.. Before the experiment, we created Chinese, Caucasian, and generic average faces (generic average face was created from both Chinese and Caucasian faces) and tested participants’ ability to identify them.



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    cumulative gaussian (normal) distribution function  (MathWorks Inc)
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    Experiment data. ( A ) Group mean ( thin dotted lines ) of open-loop ( left ) and closed-loop ( right ) pursuit direction error ( D E ) and ±1 SE ( shaded areas ) as a function of the target-relative moving direction of the first previous (i.e., 1-back) trial ( D R 1 ). “CCW” and “CW” on the x-axis indicate that the target motion direction in the previous trial was counterclockwise (CCW) or clockwise (CW) to that in the current trial. “CCW” and “CW” on the y-axis indicate that pursuit direction was CCW or CW to the target motion direction in the current trial. Thick solid lines indicate the fitted DoG curves. The amplitude of the DoG curve ( a ) indicates the size of serial dependence. ( B ) The size of serial dependence ( a ) in the open-loop response for the previous one to five trials (i.e., 1-back to 5-back). Error bars represent bootstrapped 95% confidence intervals. ( C ) Histograms and <t>Gaussian</t> fits of the overall pursuit direction noise in the open-loop response for children ( green bars and lines ) and adults ( gray bars and lines ). * P < 0.05. ** P < 0.01.
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    Experiment data. ( A ) Group mean ( thin dotted lines ) of open-loop ( left ) and closed-loop ( right ) pursuit direction error ( D E ) and ±1 SE ( shaded areas ) as a function of the target-relative moving direction of the first previous (i.e., 1-back) trial ( D R 1 ). “CCW” and “CW” on the x-axis indicate that the target motion direction in the previous trial was counterclockwise (CCW) or clockwise (CW) to that in the current trial. “CCW” and “CW” on the y-axis indicate that pursuit direction was CCW or CW to the target motion direction in the current trial. Thick solid lines indicate the fitted DoG curves. The amplitude of the DoG curve ( a ) indicates the size of serial dependence. ( B ) The size of serial dependence ( a ) in the open-loop response for the previous one to five trials (i.e., 1-back to 5-back). Error bars represent bootstrapped 95% confidence intervals. ( C ) Histograms and <t>Gaussian</t> fits of the overall pursuit direction noise in the open-loop response for children ( green bars and lines ) and adults ( gray bars and lines ). * P < 0.05. ** P < 0.01.
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    Experiment data. ( A ) Group mean ( thin dotted lines ) of open-loop ( left ) and closed-loop ( right ) pursuit direction error ( D E ) and ±1 SE ( shaded areas ) as a function of the target-relative moving direction of the first previous (i.e., 1-back) trial ( D R 1 ). “CCW” and “CW” on the x-axis indicate that the target motion direction in the previous trial was counterclockwise (CCW) or clockwise (CW) to that in the current trial. “CCW” and “CW” on the y-axis indicate that pursuit direction was CCW or CW to the target motion direction in the current trial. Thick solid lines indicate the fitted DoG curves. The amplitude of the DoG curve ( a ) indicates the size of serial dependence. ( B ) The size of serial dependence ( a ) in the open-loop response for the previous one to five trials (i.e., 1-back to 5-back). Error bars represent bootstrapped 95% confidence intervals. ( C ) Histograms and <t>Gaussian</t> fits of the overall pursuit direction noise in the open-loop response for children ( green bars and lines ) and adults ( gray bars and lines ). * P < 0.05. ** P < 0.01.
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    Experiment data. ( A ) Group mean ( thin dotted lines ) of open-loop ( left ) and closed-loop ( right ) pursuit direction error ( D E ) and ±1 SE ( shaded areas ) as a function of the target-relative moving direction of the first previous (i.e., 1-back) trial ( D R 1 ). “CCW” and “CW” on the x-axis indicate that the target motion direction in the previous trial was counterclockwise (CCW) or clockwise (CW) to that in the current trial. “CCW” and “CW” on the y-axis indicate that pursuit direction was CCW or CW to the target motion direction in the current trial. Thick solid lines indicate the fitted DoG curves. The amplitude of the DoG curve ( a ) indicates the size of serial dependence. ( B ) The size of serial dependence ( a ) in the open-loop response for the previous one to five trials (i.e., 1-back to 5-back). Error bars represent bootstrapped 95% confidence intervals. ( C ) Histograms and Gaussian fits of the overall pursuit direction noise in the open-loop response for children ( green bars and lines ) and adults ( gray bars and lines ). * P < 0.05. ** P < 0.01.

    Journal: Investigative Ophthalmology & Visual Science

    Article Title: Serial Dependence in Smooth Pursuit Eye Movements of Preadolescent Children and Adults

    doi: 10.1167/iovs.65.14.37

    Figure Lengend Snippet: Experiment data. ( A ) Group mean ( thin dotted lines ) of open-loop ( left ) and closed-loop ( right ) pursuit direction error ( D E ) and ±1 SE ( shaded areas ) as a function of the target-relative moving direction of the first previous (i.e., 1-back) trial ( D R 1 ). “CCW” and “CW” on the x-axis indicate that the target motion direction in the previous trial was counterclockwise (CCW) or clockwise (CW) to that in the current trial. “CCW” and “CW” on the y-axis indicate that pursuit direction was CCW or CW to the target motion direction in the current trial. Thick solid lines indicate the fitted DoG curves. The amplitude of the DoG curve ( a ) indicates the size of serial dependence. ( B ) The size of serial dependence ( a ) in the open-loop response for the previous one to five trials (i.e., 1-back to 5-back). Error bars represent bootstrapped 95% confidence intervals. ( C ) Histograms and Gaussian fits of the overall pursuit direction noise in the open-loop response for children ( green bars and lines ) and adults ( gray bars and lines ). * P < 0.05. ** P < 0.01.

    Article Snippet: We then fitted the percentage data with a cumulative Gaussian function using the maximum likelihood method of the Palamedes Toolbox in MATLAB to obtain an oculometric curve.

    Techniques:

    The percentage of counterclockwise binary pursuit responses in each participant group as a function of the deviation of target motion direction from each data set’s canonical direction for the four cardinal (0°, 90°, 180°, and 270°; upper ) and the four oblique direction data sets (45°, 135°, 225°, and 315°; lower ). Data are fitted with cumulative Gaussian functions ( solid and dashed lines ).

    Journal: Investigative Ophthalmology & Visual Science

    Article Title: Serial Dependence in Smooth Pursuit Eye Movements of Preadolescent Children and Adults

    doi: 10.1167/iovs.65.14.37

    Figure Lengend Snippet: The percentage of counterclockwise binary pursuit responses in each participant group as a function of the deviation of target motion direction from each data set’s canonical direction for the four cardinal (0°, 90°, 180°, and 270°; upper ) and the four oblique direction data sets (45°, 135°, 225°, and 315°; lower ). Data are fitted with cumulative Gaussian functions ( solid and dashed lines ).

    Article Snippet: We then fitted the percentage data with a cumulative Gaussian function using the maximum likelihood method of the Palamedes Toolbox in MATLAB to obtain an oculometric curve.

    Techniques:

    Polar plots of ( A ) the precision (standard deviation of the best-fitting Gaussian function) and ( B ) the size of serial dependence ( a ) in pursuit direction for the four cardinal (0°, 90°, 180°, and 270°) and the four oblique (45°, 135°, 225°, and 315°) direction data sets. The dashed lines in ( B ) represent a values across the 360° circular angle space, as plotted in A.

    Journal: Investigative Ophthalmology & Visual Science

    Article Title: Serial Dependence in Smooth Pursuit Eye Movements of Preadolescent Children and Adults

    doi: 10.1167/iovs.65.14.37

    Figure Lengend Snippet: Polar plots of ( A ) the precision (standard deviation of the best-fitting Gaussian function) and ( B ) the size of serial dependence ( a ) in pursuit direction for the four cardinal (0°, 90°, 180°, and 270°) and the four oblique (45°, 135°, 225°, and 315°) direction data sets. The dashed lines in ( B ) represent a values across the 360° circular angle space, as plotted in A.

    Article Snippet: We then fitted the percentage data with a cumulative Gaussian function using the maximum likelihood method of the Palamedes Toolbox in MATLAB to obtain an oculometric curve.

    Techniques: Standard Deviation