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gaussian kernel density estimator  (MathWorks Inc)


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    MathWorks Inc gaussian kernel density estimator
    Gaussian Kernel Density Estimator, 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/kernel+density+estimates+(gaussian+kernel)/pmc09737059-796-12-19
    Average 90 stars, based on 1 article reviews
    gaussian kernel density estimator - by Bioz Stars, 2026-11
    90/100 stars

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    Article Title: Estimating neuronal firing density: A quantitative analysis of firing rate map algorithms.
    Article Snippet: .. For each cell the desired average firing rate was drawn from a normal distribution (MATLAB normrnd) with a mean of 1, a standard deviation of 1 and these were limited to values greater than 0.5 but less than 10 Hz. ..

    Article Title: Estimating neuronal firing density: A quantitative analysis of firing rate map algorithms.
    Article Snippet: Additionally, to mimic realistic single-unit recordings we combined this value with a random background noise value also drawn from the Poisson distribution (MATLAB poissrnd) with λ set to 0.001. .. To mimic errors in position tracking and the local drift of place cell activity within a theta cycle [78] we also randomly time-shifted spike probability values, forwards or backwards along the animal’s trajectory, by a duration which was drawn from a normal distribution (MATLAB normrnd) with a mean and standard deviation of 0.01 and 0.02 seconds respectively. ..

    Article Title: Estimating neuronal firing density: A quantitative analysis of firing rate map algorithms
    Article Snippet: Additionally, to mimic realistic single-unit recordings we combined this value with a random background noise value also drawn from the Poisson distribution (MATLAB poissrnd) with λ set to 0.001. .. To mimic errors in position tracking and the local drift of place cell activity within a theta cycle [ ] we also randomly time-shifted spike probability values, forwards or backwards along the animal’s trajectory, by a duration which was drawn from a normal distribution (MATLAB normrnd ) with a mean and standard deviation of 0.01 and 0.02 seconds respectively. ..

    Article Title: Estimating neuronal firing density: A quantitative analysis of firing rate map algorithms
    Article Snippet: .. For each cell the desired average firing rate was drawn from a normal distribution (MATLAB normrnd ) with a mean of 1, a standard deviation of 1 and these were limited to values greater than 0.5 but less than 10 Hz. ..

    Activity Assay:

    Article Title: Estimating neuronal firing density: A quantitative analysis of firing rate map algorithms.
    Article Snippet: Additionally, to mimic realistic single-unit recordings we combined this value with a random background noise value also drawn from the Poisson distribution (MATLAB poissrnd) with λ set to 0.001. .. To mimic errors in position tracking and the local drift of place cell activity within a theta cycle [78] we also randomly time-shifted spike probability values, forwards or backwards along the animal’s trajectory, by a duration which was drawn from a normal distribution (MATLAB normrnd) with a mean and standard deviation of 0.01 and 0.02 seconds respectively. ..

    Article Title: Estimating neuronal firing density: A quantitative analysis of firing rate map algorithms
    Article Snippet: Additionally, to mimic realistic single-unit recordings we combined this value with a random background noise value also drawn from the Poisson distribution (MATLAB poissrnd) with λ set to 0.001. .. To mimic errors in position tracking and the local drift of place cell activity within a theta cycle [ ] we also randomly time-shifted spike probability values, forwards or backwards along the animal’s trajectory, by a duration which was drawn from a normal distribution (MATLAB normrnd ) with a mean and standard deviation of 0.01 and 0.02 seconds respectively. ..

    other:

    Article Title: Time of day and sleep effects on motor acquisition and consolidation.
    Article Snippet: As the error rate did not follow a normal distribution (Shapiro–Wilk test, p < 0.05), we used twotailed permutation tests (5000 permutations; MATLAB function mult_comp_perm_t1).

    Article Title: Estimating neuronal firing density: A quantitative analysis of firing rate map algorithms
    Article Snippet: To reflect individual variability among cells these values were drawn from a normal distribution (MATLAB normrnd ) with a standard deviation of 1000 and limited to values greater than 1000.

    Article Title: Dynamics of cortical contrast adaptation predict perception of signals in noise.
    Article Snippet: When analyzing behavior, we computed the percent correct performance of an ideal observer90 as a function of the probability of hits and false alarms: pc= z 1 z Hð Þ z FAð Þffiffiffi 2 p ð11Þ where z 1 is cumulative probability of the normal distribution (normcdf in MATLAB), z is the inverse of the normal distribution (i.e. the z-score, norminv in MATLAB), H is the hit rate, and FA is the false alarm rate.

    Article Title: Time of day and sleep effects on motor acquisition and consolidation
    Article Snippet: As the error rate did not follow a normal distribution (Shapiro–Wilk test, p < 0.05), we used two-tailed permutation tests (5000 permutations; MATLAB function mult_comp_perm_t1).



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    Overview of density estimators. See <xref ref-type= S3 Appendix for details." width="100%" height="100%">

    Journal: PLoS ONE

    Article Title: Semiparametric maximum likelihood probability density estimation

    doi: 10.1371/journal.pone.0259111

    Figure Lengend Snippet: Overview of density estimators. See S3 Appendix for details.

    Article Snippet: KDE2 , MATLAB in-built Gaussian kernel density estimator with default bandwidth; reflection method applied at any boundary point.

    Techniques: Diffusion-based Assay, Generated, Selection