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standard matlab® function gamfit  (MathWorks Inc)


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    Structured Review

    MathWorks Inc standard matlab® function gamfit
    Gamma distributions of ictal, postictal and normal period durations in the model. Histograms and fitted gamma functions for the distributions of the ‘seizure’ (top) and ‘postictal’ (bottom) durations as simulated using the model. The estimation of the shape parameter α for the fitted gamma-distribution as well as the 95% CIs are presented in the text boxes. The data were obtained using the <t>standard</t> <t>MatLab®</t> function <t>gamfit.</t>
    Standard Matlab® Function Gamfit, 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/standard+function+gamfit/pmc05837448-289-28-28
    Average 90 stars, based on 1 article reviews
    standard matlab® function gamfit - by Bioz Stars, 2026-09
    90/100 stars

    Images

    1) Product Images from "Dynamics of convulsive seizure termination and postictal generalized EEG suppression"

    Article Title: Dynamics of convulsive seizure termination and postictal generalized EEG suppression

    Journal: Brain

    doi: 10.1093/brain/aww322

    Gamma distributions of ictal, postictal and normal period durations in the model. Histograms and fitted gamma functions for the distributions of the ‘seizure’ (top) and ‘postictal’ (bottom) durations as simulated using the model. The estimation of the shape parameter α for the fitted gamma-distribution as well as the 95% CIs are presented in the text boxes. The data were obtained using the standard MatLab® function gamfit.
    Figure Legend Snippet: Gamma distributions of ictal, postictal and normal period durations in the model. Histograms and fitted gamma functions for the distributions of the ‘seizure’ (top) and ‘postictal’ (bottom) durations as simulated using the model. The estimation of the shape parameter α for the fitted gamma-distribution as well as the 95% CIs are presented in the text boxes. The data were obtained using the standard MatLab® function gamfit.

    Techniques Used:

    Gamma distribution of ictal and PGES period durations in human EEG data. Histograms and fitted gamma functions (solid lines) for the distributions of the seizure (top) and PGES (bottom) durations as visually detected from the human EEG recordings. The three numbers in the legends give the parameter α (from Equation 3) for the fitted gamma-distribution and the corresponding 95% CI as obtained from the standard MatLab® function gamfit.
    Figure Legend Snippet: Gamma distribution of ictal and PGES period durations in human EEG data. Histograms and fitted gamma functions (solid lines) for the distributions of the seizure (top) and PGES (bottom) durations as visually detected from the human EEG recordings. The three numbers in the legends give the parameter α (from Equation 3) for the fitted gamma-distribution and the corresponding 95% CI as obtained from the standard MatLab® function gamfit.

    Techniques Used:

    Related Articles

    other:

    Article Title: Plasticity-modulated seizure dynamics for seizure termination in realistic neuronal models.
    Article Snippet: In previous studies we showed that autonomous absence seizure generation and termination can be explained by realistic neuronal models eliciting bi-stable dynamics.. In these models epileptic seizures are triggered either by external stimuli (reflex epilepsies) or by internal fluctuations.. This scenario predicts exponential distributions of the duration of the seizures and of the inter-ictal intervals.

    Article Title: Dynamics of convulsive seizure termination and postictal generalized EEG suppression
    Article Snippet: The data were obtained using the standard MatLab® function gamfit . fig ft0 fig mode=article f1 fig/graphic|fig/alternatives/graphic mode="anchored" m1 Open in a separate window caption a7 Relation between the interclonic interval, connectivity and PGES in the model. ( A ) Scatter plot showing the relation between the ICI (vertical axis, logarithmic scale) determined by the strength of the connectivity parameter g during simulated seizures and the time elapsed since the beginning of the simulated seizure (horizontal axis, in simulation steps).

    Article Title: Dynamics of convulsive seizure termination and postictal generalized EEG suppression
    Article Snippet: The three numbers in the legends give the parameter α (from Equation 3 ) for the fitted gamma-distribution and the corresponding 95% CI as obtained from the standard MatLab® function gamfit .



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    MathWorks Inc standard matlab® function gamfit
    Gamma distributions of ictal, postictal and normal period durations in the model. Histograms and fitted gamma functions for the distributions of the ‘seizure’ (top) and ‘postictal’ (bottom) durations as simulated using the model. The estimation of the shape parameter α for the fitted gamma-distribution as well as the 95% CIs are presented in the text boxes. The data were obtained using the <t>standard</t> <t>MatLab®</t> function <t>gamfit.</t>
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    Gamma distributions of ictal, postictal and normal period durations in the model. Histograms and fitted gamma functions for the distributions of the ‘seizure’ (top) and ‘postictal’ (bottom) durations as simulated using the model. The estimation of the shape parameter α for the fitted gamma-distribution as well as the 95% CIs are presented in the text boxes. The data were obtained using the <t>standard</t> <t>MatLab®</t> function <t>gamfit.</t>
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    Image Search Results


    Gamma distributions of ictal, postictal and normal period durations in the model. Histograms and fitted gamma functions for the distributions of the ‘seizure’ (top) and ‘postictal’ (bottom) durations as simulated using the model. The estimation of the shape parameter α for the fitted gamma-distribution as well as the 95% CIs are presented in the text boxes. The data were obtained using the standard MatLab® function gamfit.

    Journal: Brain

    Article Title: Dynamics of convulsive seizure termination and postictal generalized EEG suppression

    doi: 10.1093/brain/aww322

    Figure Lengend Snippet: Gamma distributions of ictal, postictal and normal period durations in the model. Histograms and fitted gamma functions for the distributions of the ‘seizure’ (top) and ‘postictal’ (bottom) durations as simulated using the model. The estimation of the shape parameter α for the fitted gamma-distribution as well as the 95% CIs are presented in the text boxes. The data were obtained using the standard MatLab® function gamfit.

    Article Snippet: The three numbers in the legends give the parameter α (from Equation 3 ) for the fitted gamma-distribution and the corresponding 95% CI as obtained from the standard MatLab® function gamfit .

    Techniques:

    Gamma distribution of ictal and PGES period durations in human EEG data. Histograms and fitted gamma functions (solid lines) for the distributions of the seizure (top) and PGES (bottom) durations as visually detected from the human EEG recordings. The three numbers in the legends give the parameter α (from Equation 3) for the fitted gamma-distribution and the corresponding 95% CI as obtained from the standard MatLab® function gamfit.

    Journal: Brain

    Article Title: Dynamics of convulsive seizure termination and postictal generalized EEG suppression

    doi: 10.1093/brain/aww322

    Figure Lengend Snippet: Gamma distribution of ictal and PGES period durations in human EEG data. Histograms and fitted gamma functions (solid lines) for the distributions of the seizure (top) and PGES (bottom) durations as visually detected from the human EEG recordings. The three numbers in the legends give the parameter α (from Equation 3) for the fitted gamma-distribution and the corresponding 95% CI as obtained from the standard MatLab® function gamfit.

    Article Snippet: The three numbers in the legends give the parameter α (from Equation 3 ) for the fitted gamma-distribution and the corresponding 95% CI as obtained from the standard MatLab® function gamfit .

    Techniques: