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gaussian mixture model (gmm) clustering algorithm  (MathWorks Inc)


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    MathWorks Inc gaussian mixture model (gmm) clustering algorithm
    Gaussian Mixture Model (Gmm) Clustering Algorithm, 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/gaussian+mixture+models+algorithm+(gmm)/pmc04254689-528-2-11
    Average 90 stars, based on 1 article reviews
    gaussian mixture model (gmm) clustering algorithm - by Bioz Stars, 2026-11
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    Article Title: Conscious tactile perception entails distinct neural dynamics within somatosensory areas.
    Article Snippet: Article Conscious tactile perception entails distinct neural dynamics within somatosensory areas Highlights • Somatosensory and report-related dynamics are spatiotemporally segregated • Early responses from SI scale with both physical and perceived stimulus intensity • Sustained responses from parietal operculum reflect stimulus awareness • Conscious tactile processing embraces multiple dynamics within somatosensory areas Authors Davide Albertini, Maria Del Vecchio, Ivana Sartori, ..., Ezequiel Pablo Mikulan, Marcello Massimini, Pietro Avanzini Correspondence davide.albertini@unipr.it (D.A.), pietro.avanzini@cnr.it (P.A.). In brief Albertini et al. rely on human intracranial recordings to uncover the neural basis of tactile conscious perception.. They find sustained, threshold-sensitive activity in the parietal operculum as the neural correlate of tactile awareness, independent of report, and challenge the involvement of the prefrontal cortex in tactile conscious perception.

    Article Title: Functionally distinct GABAergic amacrine cell types regulate spatiotemporal encoding in the mouse retina.
    Article Snippet: Next, we fitted a Gaussian mixture model based on the expectation-maximization algorithm using the MATLAB gmdistribution function to fit the dataset of detected sparse features.

    Article Title: Dialogue mechanisms between astrocytic and neuronal networks: A whole-brain modelling approach.
    Article Snippet: To perform hard clustering analysis, a Gaussian mixture model was applied to the dataset (MATLAB’s fitgmdist function).

    Modification:

    Article Title: Spike inference from calcium imaging data acquired with GCaMP8 indicators
    Article Snippet: .. A modified Gaussian mixture model (GMM) in MATLAB was then used to perform a quantal analysis from the histogram to infer the unitary amplitude. ..

    Derivative Assay:

    Article Title: Alzheimer's disease patient-derived high-molecular-weight tau impairs bursting in hippocampal neurons.
    Article Snippet: This clustering was performed on collated units derived from the putative CA1 pyramidal layer region across animals from the same background for each state condition (i.e., awake or anesthetized), and consisted of a Gaussian mixture model (GMM) applied to the data using the iterative Expectation-Maximization (EM) algorithm (MATLAB function ‘fitgmdist’, 500 replicates, 500 iterations, 4 clusters). .. This clustering was performed on collated units derived from the putative CA1 pyramidal layer region across animals from the same background for each state condition (i.e., awake or anesthetized), and consisted of a Gaussian mixture model (GMM) applied to the data using the iterative Expectation-Maximization (EM) algorithm (MATLAB function ‘fitgmdist’, 500 replicates, 500 iterations, 4 clusters). ..

    Generated:

    Article Title: Cargo adaptor identity controls the mechanism and kinetics of dynein activation
    Article Snippet: .. Probability density functions of dwell times were generated in MATLAB with a Gaussian mixture model script. ..



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    gaussian mixture models (gmms) with the expectation-maximization algorithm (fitgmdist function in matlab 2020b)  (MathWorks Inc)
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    MathWorks Inc gaussian mixture models (gmms) with the expectation-maximization algorithm (fitgmdist function in matlab 2020b)
    Gaussian Mixture Models (Gmms) With The Expectation Maximization Algorithm (Fitgmdist Function In Matlab 2020b), 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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    gaussian mixture model (gmm) clustering algorithm  (MathWorks Inc)
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    MathWorks Inc gaussian mixture model (gmm) clustering algorithm
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    gaussian mixture models algorithm (gmm)  (MathWorks Inc)
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    MathWorks Inc gaussian mixture models algorithm (gmm)
    (A) The downstroke / upstroke phase ratio vs . instantaneous flap frequency distribution for individual wingbeats of five birds. A phase ratio of 1 indicates up- and downstrokes of equal duration, values <1 indicate longer upstrokes, values >1 longer downstrokes. Normalized bimodal <t>Gaussian</t> fits are shown for flap frequency (top) and for downstroke / upstroke time ratios (right). The bird-specific bimodal distribution parameters for the flapping frequency are: 2dg: μ 1 = 9.78, σ 1 = 1 . 61 , μ 2 = 17.26, σ 2 = 1 . 01 ; 2lg: μ 1 = 10.26, σ 1 = 1 . 83 , μ 2 = 18.14, σ 2 = 0 . 91 ; 2y: μ 1 = 9.39, σ 1 = 1 . 1 , μ 2 = 17.19, σ 2 = 0 . 86 ; 1y: μ 1 = 8.97, σ 1 = 0 . 6 , μ 2 = 15.76, σ 2 = 0 . 96 ; 3g: μ 1 = 9.49, σ 1 = 2 . 3 , μ 2 = 16.72, σ 2 = 1 ; For downstroke / upstroke periods the obtained bimodal distribution parameters are: 2dg: μ 1 = 0.5, σ 1 = 0.07, μ 2 = 1.26, σ 2 = 0.27; 2lg: μ 1 = 0.56, σ 1 = 0.13, μ 2 = 1.43, σ 2 = 0.17; 2y: μ 1 = 0.48, σ 1 = 0.07, μ 2 = 1.26, σ 2 = 0.27; 1y: μ 1 = 0.62, σ 1 = 0.09, μ 2 = 1.49, σ 2 = 0.17; 3g: μ 1 = 0.48, σ 1 = 0.12, μ 2 = 1.3, σ 2 = 0.17. The horizontal gray line separates the bimodal distributions at a downstroke / upstroke ratio of 0.94 (average midpoint between bimodal distribution peaks among birds). The vertical gray line separates the bimodal distribution at a flap frequency of 13.3 Hz (average among birds); n = 697 wing beats, N = 5 birds. Due to the 2000 fps sample frequency, and the fact that wingbeat, downstroke, and upstroke time are all integer values measured in number of frames, the data appear in a raster and can overlap precisely among wings beats, flights and birds. (B) The normalized saccade distributions illustrate when a saccade was started and ended during the downstroke vs . the upstroke phase. Shown is the average across birds (solid lines) and the standard deviation (shaded area). Binning: 0:10:100; n = 72 saccades, N = 5 birds.
    Gaussian Mixture Models Algorithm (Gmm), 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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    gaussian mixture model algorithm gmm  (MathWorks Inc)
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    MathWorks Inc gaussian mixture model algorithm gmm
    (A) The downstroke / upstroke phase ratio vs . instantaneous flap frequency distribution for individual wingbeats of five birds. A phase ratio of 1 indicates up- and downstrokes of equal duration, values <1 indicate longer upstrokes, values >1 longer downstrokes. Normalized bimodal <t>Gaussian</t> fits are shown for flap frequency (top) and for downstroke / upstroke time ratios (right). The bird-specific bimodal distribution parameters for the flapping frequency are: 2dg: μ 1 = 9.78, σ 1 = 1 . 61 , μ 2 = 17.26, σ 2 = 1 . 01 ; 2lg: μ 1 = 10.26, σ 1 = 1 . 83 , μ 2 = 18.14, σ 2 = 0 . 91 ; 2y: μ 1 = 9.39, σ 1 = 1 . 1 , μ 2 = 17.19, σ 2 = 0 . 86 ; 1y: μ 1 = 8.97, σ 1 = 0 . 6 , μ 2 = 15.76, σ 2 = 0 . 96 ; 3g: μ 1 = 9.49, σ 1 = 2 . 3 , μ 2 = 16.72, σ 2 = 1 ; For downstroke / upstroke periods the obtained bimodal distribution parameters are: 2dg: μ 1 = 0.5, σ 1 = 0.07, μ 2 = 1.26, σ 2 = 0.27; 2lg: μ 1 = 0.56, σ 1 = 0.13, μ 2 = 1.43, σ 2 = 0.17; 2y: μ 1 = 0.48, σ 1 = 0.07, μ 2 = 1.26, σ 2 = 0.27; 1y: μ 1 = 0.62, σ 1 = 0.09, μ 2 = 1.49, σ 2 = 0.17; 3g: μ 1 = 0.48, σ 1 = 0.12, μ 2 = 1.3, σ 2 = 0.17. The horizontal gray line separates the bimodal distributions at a downstroke / upstroke ratio of 0.94 (average midpoint between bimodal distribution peaks among birds). The vertical gray line separates the bimodal distribution at a flap frequency of 13.3 Hz (average among birds); n = 697 wing beats, N = 5 birds. Due to the 2000 fps sample frequency, and the fact that wingbeat, downstroke, and upstroke time are all integer values measured in number of frames, the data appear in a raster and can overlap precisely among wings beats, flights and birds. (B) The normalized saccade distributions illustrate when a saccade was started and ended during the downstroke vs . the upstroke phase. Shown is the average across birds (solid lines) and the standard deviation (shaded area). Binning: 0:10:100; n = 72 saccades, N = 5 birds.
    Gaussian Mixture Model Algorithm Gmm, 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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    (A) The downstroke / upstroke phase ratio vs . instantaneous flap frequency distribution for individual wingbeats of five birds. A phase ratio of 1 indicates up- and downstrokes of equal duration, values <1 indicate longer upstrokes, values >1 longer downstrokes. Normalized bimodal Gaussian fits are shown for flap frequency (top) and for downstroke / upstroke time ratios (right). The bird-specific bimodal distribution parameters for the flapping frequency are: 2dg: μ 1 = 9.78, σ 1 = 1 . 61 , μ 2 = 17.26, σ 2 = 1 . 01 ; 2lg: μ 1 = 10.26, σ 1 = 1 . 83 , μ 2 = 18.14, σ 2 = 0 . 91 ; 2y: μ 1 = 9.39, σ 1 = 1 . 1 , μ 2 = 17.19, σ 2 = 0 . 86 ; 1y: μ 1 = 8.97, σ 1 = 0 . 6 , μ 2 = 15.76, σ 2 = 0 . 96 ; 3g: μ 1 = 9.49, σ 1 = 2 . 3 , μ 2 = 16.72, σ 2 = 1 ; For downstroke / upstroke periods the obtained bimodal distribution parameters are: 2dg: μ 1 = 0.5, σ 1 = 0.07, μ 2 = 1.26, σ 2 = 0.27; 2lg: μ 1 = 0.56, σ 1 = 0.13, μ 2 = 1.43, σ 2 = 0.17; 2y: μ 1 = 0.48, σ 1 = 0.07, μ 2 = 1.26, σ 2 = 0.27; 1y: μ 1 = 0.62, σ 1 = 0.09, μ 2 = 1.49, σ 2 = 0.17; 3g: μ 1 = 0.48, σ 1 = 0.12, μ 2 = 1.3, σ 2 = 0.17. The horizontal gray line separates the bimodal distributions at a downstroke / upstroke ratio of 0.94 (average midpoint between bimodal distribution peaks among birds). The vertical gray line separates the bimodal distribution at a flap frequency of 13.3 Hz (average among birds); n = 697 wing beats, N = 5 birds. Due to the 2000 fps sample frequency, and the fact that wingbeat, downstroke, and upstroke time are all integer values measured in number of frames, the data appear in a raster and can overlap precisely among wings beats, flights and birds. (B) The normalized saccade distributions illustrate when a saccade was started and ended during the downstroke vs . the upstroke phase. Shown is the average across birds (solid lines) and the standard deviation (shaded area). Binning: 0:10:100; n = 72 saccades, N = 5 birds.

    Journal: PLoS ONE

    Article Title: How Lovebirds Maneuver Rapidly Using Super-Fast Head Saccades and Image Feature Stabilization

    doi: 10.1371/journal.pone.0129287

    Figure Lengend Snippet: (A) The downstroke / upstroke phase ratio vs . instantaneous flap frequency distribution for individual wingbeats of five birds. A phase ratio of 1 indicates up- and downstrokes of equal duration, values <1 indicate longer upstrokes, values >1 longer downstrokes. Normalized bimodal Gaussian fits are shown for flap frequency (top) and for downstroke / upstroke time ratios (right). The bird-specific bimodal distribution parameters for the flapping frequency are: 2dg: μ 1 = 9.78, σ 1 = 1 . 61 , μ 2 = 17.26, σ 2 = 1 . 01 ; 2lg: μ 1 = 10.26, σ 1 = 1 . 83 , μ 2 = 18.14, σ 2 = 0 . 91 ; 2y: μ 1 = 9.39, σ 1 = 1 . 1 , μ 2 = 17.19, σ 2 = 0 . 86 ; 1y: μ 1 = 8.97, σ 1 = 0 . 6 , μ 2 = 15.76, σ 2 = 0 . 96 ; 3g: μ 1 = 9.49, σ 1 = 2 . 3 , μ 2 = 16.72, σ 2 = 1 ; For downstroke / upstroke periods the obtained bimodal distribution parameters are: 2dg: μ 1 = 0.5, σ 1 = 0.07, μ 2 = 1.26, σ 2 = 0.27; 2lg: μ 1 = 0.56, σ 1 = 0.13, μ 2 = 1.43, σ 2 = 0.17; 2y: μ 1 = 0.48, σ 1 = 0.07, μ 2 = 1.26, σ 2 = 0.27; 1y: μ 1 = 0.62, σ 1 = 0.09, μ 2 = 1.49, σ 2 = 0.17; 3g: μ 1 = 0.48, σ 1 = 0.12, μ 2 = 1.3, σ 2 = 0.17. The horizontal gray line separates the bimodal distributions at a downstroke / upstroke ratio of 0.94 (average midpoint between bimodal distribution peaks among birds). The vertical gray line separates the bimodal distribution at a flap frequency of 13.3 Hz (average among birds); n = 697 wing beats, N = 5 birds. Due to the 2000 fps sample frequency, and the fact that wingbeat, downstroke, and upstroke time are all integer values measured in number of frames, the data appear in a raster and can overlap precisely among wings beats, flights and birds. (B) The normalized saccade distributions illustrate when a saccade was started and ended during the downstroke vs . the upstroke phase. Shown is the average across birds (solid lines) and the standard deviation (shaded area). Binning: 0:10:100; n = 72 saccades, N = 5 birds.

    Article Snippet: Wingbeat and downstroke / upstroke periods were analyzed for bimodal distributions using the Gaussian mixture models algorithm (GMM) of the MATLAB statistics toolbox.

    Techniques: Standard Deviation