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mvnpdf  (MathWorks Inc)


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    MathWorks Inc mvnpdf
    Mvnpdf, 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/mvnpdf/10__1016_slash_j__cnsns__2024__108168-254-15-15
    Average 90 stars, based on 1 article reviews
    mvnpdf - by Bioz Stars, 2026-10
    90/100 stars

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    other:

    Article Title: Hippocampal-targeted Theta-burst Stimulation Enhances Associative Memory Formation
    Article Snippet: The retrieval success distribution was modeled using mvnpdf in MATLAB.

    Article Title: Brief targeted memory reactivation during the awake state enhances memory stability and benefits the weakest memories
    Article Snippet: The memory success distribution was modeled using mvnpdf in MATLAB, which estimates the probability density of a multi-variate normal distribution.

    Article Title: Adaptive parameters tuning based on energy-preserving splitting integration for Hamiltonian Monte Carlo Method
    Article Snippet: The ellipse presented corresponds to region where the theoretical probability density function, evaluated with built-in Matlab function mvnpdf, is strictly positive, with the area outside the ellipse representing zero probability.



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    A-F) For each mapping method, the Pareto-front of optimal parameter combinations for all tested recording durations. Circled is the parameter combination selected as the most balanced. In addition to computation time and overall map error (MISE), which are plotted here, Pareto-optimization also sought to minimize the proportion of empty bins and place field detection errors. Insets show the relationship between average field radius, recording duration and balanced bin size (top) or smoothing (bottom) parameters, determined using <t>multivariate</t> regression. The exact regression fits can be seen in in addition to the fits for the parameters associated with the minimum error.
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    A-F) For each mapping method, the Pareto-front of optimal parameter combinations for all tested recording durations. Circled is the parameter combination selected as the most balanced. In addition to computation time and overall map error (MISE), which are plotted here, Pareto-optimization also sought to minimize the proportion of empty bins and place field detection errors. Insets show the relationship between average field radius, recording duration and balanced bin size (top) or smoothing (bottom) parameters, determined using <t>multivariate</t> regression. The exact regression fits can be seen in in addition to the fits for the parameters associated with the minimum error.
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    A-F) For each mapping method, the Pareto-front of optimal parameter combinations for all tested recording durations. Circled is the parameter combination selected as the most balanced. In addition to computation time and overall map error (MISE), which are plotted here, Pareto-optimization also sought to minimize the proportion of empty bins and place field detection errors. Insets show the relationship between average field radius, recording duration and balanced bin size (top) or smoothing (bottom) parameters, determined using <t>multivariate</t> regression. The exact regression fits can be seen in in addition to the fits for the parameters associated with the minimum error.
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    A-F) For each mapping method, the Pareto-front of optimal parameter combinations for all tested recording durations. Circled is the parameter combination selected as the most balanced. In addition to computation time and overall map error (MISE), which are plotted here, Pareto-optimization also sought to minimize the proportion of empty bins and place field detection errors. Insets show the relationship between average field radius, recording duration and balanced bin size (top) or smoothing (bottom) parameters, determined using <t>multivariate</t> regression. The exact regression fits can be seen in in addition to the fits for the parameters associated with the minimum error.
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    A-F) For each mapping method, the Pareto-front of optimal parameter combinations for all tested recording durations. Circled is the parameter combination selected as the most balanced. In addition to computation time and overall map error (MISE), which are plotted here, Pareto-optimization also sought to minimize the proportion of empty bins and place field detection errors. Insets show the relationship between average field radius, recording duration and balanced bin size (top) or smoothing (bottom) parameters, determined using multivariate regression. The exact regression fits can be seen in in addition to the fits for the parameters associated with the minimum error.

    Journal: PLOS Computational Biology

    Article Title: Estimating neuronal firing density: A quantitative analysis of firing rate map algorithms

    doi: 10.1371/journal.pcbi.1011763

    Figure Lengend Snippet: A-F) For each mapping method, the Pareto-front of optimal parameter combinations for all tested recording durations. Circled is the parameter combination selected as the most balanced. In addition to computation time and overall map error (MISE), which are plotted here, Pareto-optimization also sought to minimize the proportion of empty bins and place field detection errors. Insets show the relationship between average field radius, recording duration and balanced bin size (top) or smoothing (bottom) parameters, determined using multivariate regression. The exact regression fits can be seen in in addition to the fits for the parameters associated with the minimum error.

    Article Snippet: Place cell spike probability distributions were generated as the sum of one or more multivariate normal distributions (MATLAB mvnpdf ).

    Techniques: