multivariate normal random number generator Search Results


proc mi  (SAS institute)
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sas mvn macro  (SAS institute)
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Sas Mvn Macro, supplied by SAS institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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multivariate normal random number generator  (MathWorks Inc)
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MathWorks Inc multivariate normal random number generator
Multivariate Normal Random Number Generator, 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
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multivariate normal distributions matlab mvnpdf  (MathWorks Inc)
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MathWorks Inc multivariate normal distributions matlab mvnpdf
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.
Multivariate Normal Distributions Matlab 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
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multivariate normal distributed random variables  (MathWorks Inc)
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MathWorks Inc multivariate normal distributed random variables
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.
Multivariate Normal Distributed Random Variables, 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
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mvnrnd function  (MathWorks Inc)
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MathWorks Inc mvnrnd function
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.
Mvnrnd 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
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matlab function mvnrnd.m  (MathWorks Inc)
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MathWorks Inc matlab function mvnrnd.m
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.
Matlab Function Mvnrnd.M, 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
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drawnorm function  (STATA Corporation)
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STATA Corporation drawnorm function
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.
Drawnorm Function, supplied by STATA Corporation, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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multivariate normal random-number generator  (STATA Corporation)
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STATA Corporation multivariate normal random-number generator
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.
Multivariate Normal Random Number Generator, supplied by STATA Corporation, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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multivariate normal regression procedure  (STATA Corporation)
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STATA Corporation multivariate normal regression procedure
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.
Multivariate Normal Regression Procedure, supplied by STATA Corporation, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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sas/iml  (SAS institute)
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SAS institute sas/iml
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.
Sas/Iml, supplied by SAS institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Image Search Results


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: