matlab function mdscale Search Results


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MathWorks Inc mdscale
Mdscale, 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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Multidimensional Scaling Matlab Function Mdscale, 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 multidimensional scaling function
Multidimensional Scaling 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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Standard Functions Mdscale, 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 mds analysis matlab function mdscale
<t>Multidimensional</t> <t>scaling</t> <t>analysis</t> of the time-series of alpha and beta relative power from each voxel within the significant brain regions . (A) Projection of each data point in the 3-D <t>MDS</t> space. The data for alpha- (blue) and beta- (red) bands were colored differently to identify them in the MDS space. (B,C) Projection of the alpha-band and the beta-band data points, respectively. The data from the clusters obtained with the cluster analysis are identified by different colors (same as in Figure ). These results illustrate that each cluster was located in a specific region within the MDS space, but data points varied continuously between those regions.
Mds Analysis Matlab Function Mdscale, 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 2d multidimensional scaling
<t>Multidimensional</t> <t>scaling</t> <t>analysis</t> of the time-series of alpha and beta relative power from each voxel within the significant brain regions . (A) Projection of each data point in the 3-D <t>MDS</t> space. The data for alpha- (blue) and beta- (red) bands were colored differently to identify them in the MDS space. (B,C) Projection of the alpha-band and the beta-band data points, respectively. The data from the clusters obtained with the cluster analysis are identified by different colors (same as in Figure ). These results illustrate that each cluster was located in a specific region within the MDS space, but data points varied continuously between those regions.
2d Multidimensional Scaling, 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 metric mds
<t>Multidimensional</t> <t>scaling</t> <t>analysis</t> of the time-series of alpha and beta relative power from each voxel within the significant brain regions . (A) Projection of each data point in the 3-D <t>MDS</t> space. The data for alpha- (blue) and beta- (red) bands were colored differently to identify them in the MDS space. (B,C) Projection of the alpha-band and the beta-band data points, respectively. The data from the clusters obtained with the cluster analysis are identified by different colors (same as in Figure ). These results illustrate that each cluster was located in a specific region within the MDS space, but data points varied continuously between those regions.
Metric Mds, 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 multidimensional scaling
<t>Multidimensional</t> <t>scaling</t> <t>analysis</t> of the time-series of alpha and beta relative power from each voxel within the significant brain regions . (A) Projection of each data point in the 3-D <t>MDS</t> space. The data for alpha- (blue) and beta- (red) bands were colored differently to identify them in the MDS space. (B,C) Projection of the alpha-band and the beta-band data points, respectively. The data from the clusters obtained with the cluster analysis are identified by different colors (same as in Figure ). These results illustrate that each cluster was located in a specific region within the MDS space, but data points varied continuously between those regions.
Multidimensional Scaling, 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 mdscale function
Order information. Regions where the similarity of activity patterns were predicted by the Hamming distance significantly above chance across participants. A, Encoding phase of the task: red–yellow; recall phase of the task: navy–magenta. B, Correlation of order information between different brain areas during the encoding and recall phases: (1) L-vMC, (2) R-IFG, (3) L-SPT, (4) L-IFG, (5) L-IPL, (6) L-SMG, (7) L-IFG, (8) R-SMG, (9) R-IPL, and (10) R-vMC. Only correlations for which p < 0.001 are shown. C, The similarity structure of fMRI activity patterns elicited by different orderings in three ROIs that encoded positional item-order associations. The similarity structure was visualized by performing nonmetric multidimensional scaling (in two dimensions) on the dissimilarity matrix of the multivoxel patterns evoked by all orderings using MATLAB's <t>mdscale</t> function. D, Similarity structure for three ROIs which encoded only item information and where not significantly correlated with the positional model prediction.
Mdscale 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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MathWorks Inc non-metric mds algorithm (matlab function mdscale: nonmetric scaling with kruskal's nonmetric stress criterion)
Order information. Regions where the similarity of activity patterns were predicted by the Hamming distance significantly above chance across participants. A, Encoding phase of the task: red–yellow; recall phase of the task: navy–magenta. B, Correlation of order information between different brain areas during the encoding and recall phases: (1) L-vMC, (2) R-IFG, (3) L-SPT, (4) L-IFG, (5) L-IPL, (6) L-SMG, (7) L-IFG, (8) R-SMG, (9) R-IPL, and (10) R-vMC. Only correlations for which p < 0.001 are shown. C, The similarity structure of fMRI activity patterns elicited by different orderings in three ROIs that encoded positional item-order associations. The similarity structure was visualized by performing nonmetric multidimensional scaling (in two dimensions) on the dissimilarity matrix of the multivoxel patterns evoked by all orderings using MATLAB's <t>mdscale</t> function. D, Similarity structure for three ROIs which encoded only item information and where not significantly correlated with the positional model prediction.
Non Metric Mds Algorithm (Matlab Function Mdscale: Nonmetric Scaling With Kruskal's Nonmetric Stress Criterion), 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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Image Search Results


Multidimensional scaling analysis of the time-series of alpha and beta relative power from each voxel within the significant brain regions . (A) Projection of each data point in the 3-D MDS space. The data for alpha- (blue) and beta- (red) bands were colored differently to identify them in the MDS space. (B,C) Projection of the alpha-band and the beta-band data points, respectively. The data from the clusters obtained with the cluster analysis are identified by different colors (same as in Figure ). These results illustrate that each cluster was located in a specific region within the MDS space, but data points varied continuously between those regions.

Journal: Frontiers in Neuroscience

Article Title: Brain oscillatory activity during motor preparation: effect of directional uncertainty on beta, but not alpha, frequency band

doi: 10.3389/fnins.2015.00246

Figure Lengend Snippet: Multidimensional scaling analysis of the time-series of alpha and beta relative power from each voxel within the significant brain regions . (A) Projection of each data point in the 3-D MDS space. The data for alpha- (blue) and beta- (red) bands were colored differently to identify them in the MDS space. (B,C) Projection of the alpha-band and the beta-band data points, respectively. The data from the clusters obtained with the cluster analysis are identified by different colors (same as in Figure ). These results illustrate that each cluster was located in a specific region within the MDS space, but data points varied continuously between those regions.

Article Snippet: To this end, we entered the time-series from all voxels with significant alpha- and beta-band activity in the MDS analysis (implemented using MATLAB function mdscale).

Techniques:

Order information. Regions where the similarity of activity patterns were predicted by the Hamming distance significantly above chance across participants. A, Encoding phase of the task: red–yellow; recall phase of the task: navy–magenta. B, Correlation of order information between different brain areas during the encoding and recall phases: (1) L-vMC, (2) R-IFG, (3) L-SPT, (4) L-IFG, (5) L-IPL, (6) L-SMG, (7) L-IFG, (8) R-SMG, (9) R-IPL, and (10) R-vMC. Only correlations for which p < 0.001 are shown. C, The similarity structure of fMRI activity patterns elicited by different orderings in three ROIs that encoded positional item-order associations. The similarity structure was visualized by performing nonmetric multidimensional scaling (in two dimensions) on the dissimilarity matrix of the multivoxel patterns evoked by all orderings using MATLAB's mdscale function. D, Similarity structure for three ROIs which encoded only item information and where not significantly correlated with the positional model prediction.

Journal: The Journal of Neuroscience

Article Title: The Representation of Order Information in Auditory-Verbal Short-Term Memory

doi: 10.1523/JNEUROSCI.4104-13.2014

Figure Lengend Snippet: Order information. Regions where the similarity of activity patterns were predicted by the Hamming distance significantly above chance across participants. A, Encoding phase of the task: red–yellow; recall phase of the task: navy–magenta. B, Correlation of order information between different brain areas during the encoding and recall phases: (1) L-vMC, (2) R-IFG, (3) L-SPT, (4) L-IFG, (5) L-IPL, (6) L-SMG, (7) L-IFG, (8) R-SMG, (9) R-IPL, and (10) R-vMC. Only correlations for which p < 0.001 are shown. C, The similarity structure of fMRI activity patterns elicited by different orderings in three ROIs that encoded positional item-order associations. The similarity structure was visualized by performing nonmetric multidimensional scaling (in two dimensions) on the dissimilarity matrix of the multivoxel patterns evoked by all orderings using MATLAB's mdscale function. D, Similarity structure for three ROIs which encoded only item information and where not significantly correlated with the positional model prediction.

Article Snippet: The similarity structure was visualized by performing nonmetric multidimensional scaling (in two dimensions) on the dissimilarity matrix of the multivoxel patterns evoked by all orderings using MATLAB's mdscale function.

Techniques: Activity Assay