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matlab function gamrnd  (MathWorks Inc)


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    MathWorks Inc matlab function gamrnd
    Matlab Function Gamrnd, 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/matlab+function+gamrnd/10__1007_slash_s41365___024___01445___x-70-18-16
    Average 90 stars, based on 1 article reviews
    matlab function gamrnd - by Bioz Stars, 2026-10
    90/100 stars

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    other:

    Article Title: On non-negative matrix factorization algorithms for signal-dependent noise with application to electromyography data
    Article Snippet: For gamma noise with mean α β (equation ( 5 )), the Matlab function gamrnd was used, with β = α V ij and α set to 0.1, 0.5, 0.25, 1.0, 2.5, 5.0, 10, 50, 100, 250, and 500, respectively ( SNR of 0.1 to 500).

    Article Title: On Nonnegative Matrix Factorization Algorithms for Signal-Dependent Noise with Application to Electromyography Data
    Article Snippet: For gamma noise with mean α β (see equation 2.5), the Matlab function gamrnd was used, with β = αVi j and α set to 0.1, 0.5, 0.25, 1.0, 2.5, 5.0, 10, 50, 100, 250, and 500, respectively (SNR of 0.1 to 500).

    Article Title: Opponent regulation of action performance and timing by striatonigral and striatopallidal pathways
    Article Snippet: Peak trials lasted 30 s plus a random duration sampled from a gamma distribution (Matlab function gamrnd using shape parameter = 2.5 and scale parameter = 4).

    Article Title: Opponent regulation of action performance and timing by striatonigral and striatopallidal pathways
    Article Snippet: Peak trials lasted 30 seconds plus a random duration sampled from a gamma distribution (Matlab function gamrnd using shape parameter = 2.5 and scale parameter = 4).

    Article Title: Multi-distortion suppression for neutron radiographic images based on generative adversarial network
    Article Snippet: Neutron radiography is a crucial nondestructive testing technology widely used in the aerospace, military, and nuclear industries.. However, because of the physical limitations of neutron sources and collimators, the resulting neutron radiographic images inevitably exhibit multiple distortions, including noise, geometric unsharpness, and white spots.. Furthermore, these distortions are particularly significant in compact neutron radiography systems with low neutron fluxes.

    Sampling:

    Article Title: Unsupervised Bayesian convex deconvolution based on a field with an explicit partition function.
    Article Snippet: .. 2The sampling of the Gamma variables is achieved using the Matlab function gamrnd. ..



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    MathWorks Inc gamma interval using the matlab gamrnd function
    Constant target rate templates. Surrogate data were constructed as rate templates with a constant target rate and low or high spiking regularity (LV of 0.1 or 1.5). We find that the average spike rate from 100 ASTs matches the target rate with only very small errors (see Table 2). The individual ASTs (blue traces) show large rate fluctuations due to the stochastic nature of the <t>gamma</t> spike train. These random rate fluctuations are much more pronounced for a highly irregular spike train target (Fig. 7b,​,d;d; LV=1.5) vs. a regular spike train target (Fig. 7a,​,c).c). <t>Individual</t> <t>AST</t> rates were constructed as aGLRs with a scale factor (sf, eq. 4) of 1.0 instead of 0.25 as used for physiological spike trains in order to more clearly show the contribution of single spikes to rate changes (Fig 4a,​,b;b; blue trace).
    Gamma Interval Using The Matlab Gamrnd 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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    Constant target rate templates. Surrogate data were constructed as rate templates with a constant target rate and low or high spiking regularity (LV of 0.1 or 1.5). We find that the average spike rate from 100 ASTs matches the target rate with only very small errors (see Table 2). The individual ASTs (blue traces) show large rate fluctuations due to the stochastic nature of the <t>gamma</t> spike train. These random rate fluctuations are much more pronounced for a highly irregular spike train target (Fig. 7b,​,d;d; LV=1.5) vs. a regular spike train target (Fig. 7a,​,c).c). <t>Individual</t> <t>AST</t> rates were constructed as aGLRs with a scale factor (sf, eq. 4) of 1.0 instead of 0.25 as used for physiological spike trains in order to more clearly show the contribution of single spikes to rate changes (Fig 4a,​,b;b; blue trace).
    Matlab Function: Gamrnd, 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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    MathWorks Inc gamrnd function part of matlab's statistics toolbox
    Constant target rate templates. Surrogate data were constructed as rate templates with a constant target rate and low or high spiking regularity (LV of 0.1 or 1.5). We find that the average spike rate from 100 ASTs matches the target rate with only very small errors (see Table 2). The individual ASTs (blue traces) show large rate fluctuations due to the stochastic nature of the <t>gamma</t> spike train. These random rate fluctuations are much more pronounced for a highly irregular spike train target (Fig. 7b,​,d;d; LV=1.5) vs. a regular spike train target (Fig. 7a,​,c).c). <t>Individual</t> <t>AST</t> rates were constructed as aGLRs with a scale factor (sf, eq. 4) of 1.0 instead of 0.25 as used for physiological spike trains in order to more clearly show the contribution of single spikes to rate changes (Fig 4a,​,b;b; blue trace).
    Gamrnd Function Part Of Matlab's Statistics Toolbox, 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/matlab+function+gamrnd/10__1109_slash_tmi__2015__2487866-90-7-11
    Average 90 stars, based on 1 article reviews
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    Constant target rate templates. Surrogate data were constructed as rate templates with a constant target rate and low or high spiking regularity (LV of 0.1 or 1.5). We find that the average spike rate from 100 ASTs matches the target rate with only very small errors (see Table 2). The individual ASTs (blue traces) show large rate fluctuations due to the stochastic nature of the gamma spike train. These random rate fluctuations are much more pronounced for a highly irregular spike train target (Fig. 7b,​,d;d; LV=1.5) vs. a regular spike train target (Fig. 7a,​,c).c). Individual AST rates were constructed as aGLRs with a scale factor (sf, eq. 4) of 1.0 instead of 0.25 as used for physiological spike trains in order to more clearly show the contribution of single spikes to rate changes (Fig 4a,​,b;b; blue trace).

    Journal: Journal of computational neuroscience

    Article Title: A general method to generate artificial spike train populations matching recorded neurons

    doi: 10.1007/s10827-020-00741-w

    Figure Lengend Snippet: Constant target rate templates. Surrogate data were constructed as rate templates with a constant target rate and low or high spiking regularity (LV of 0.1 or 1.5). We find that the average spike rate from 100 ASTs matches the target rate with only very small errors (see Table 2). The individual ASTs (blue traces) show large rate fluctuations due to the stochastic nature of the gamma spike train. These random rate fluctuations are much more pronounced for a highly irregular spike train target (Fig. 7b,​,d;d; LV=1.5) vs. a regular spike train target (Fig. 7a,​,c).c). Individual AST rates were constructed as aGLRs with a scale factor (sf, eq. 4) of 1.0 instead of 0.25 as used for physiological spike trains in order to more clearly show the contribution of single spikes to rate changes (Fig 4a,​,b;b; blue trace).

    Article Snippet: The AST generation process starts at t=0 by selecting a random gamma interval using the Matlab gamrnd() function for a mean rate of 1, and a regularity of κ.

    Techniques: Construct