classical multidimensional scaling (mds) function cmdscale Search Results


cmdscale function  (MathWorks Inc)
90
MathWorks Inc cmdscale function
Dynamic Reconfiguration of Face Network as a function of Task Top Row: Connectivity Matrices for Stimulus Relevant Face Detection Task (Left) and Stimulus Irrelevant Fixation Task (Right). Asterisks indicate correlation coefficients that significantly (p<0.05) difference between tasks and are identical between matrices for visualization purposes. Bottom Row. Classic <t>Multidimensional</t> Scaling for connectivity matrices highlights the higher proximity of the rAIT to the core face areas as a function of increased connectivity during face detection relative to the fixation task. ROIs in grey text indicate those regions with no significant connectivity modulations across tasks.
Cmdscale 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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cmdscale  (MathWorks Inc)
90
MathWorks Inc cmdscale
Dynamic Reconfiguration of Face Network as a function of Task Top Row: Connectivity Matrices for Stimulus Relevant Face Detection Task (Left) and Stimulus Irrelevant Fixation Task (Right). Asterisks indicate correlation coefficients that significantly (p<0.05) difference between tasks and are identical between matrices for visualization purposes. Bottom Row. Classic <t>Multidimensional</t> Scaling for connectivity matrices highlights the higher proximity of the rAIT to the core face areas as a function of increased connectivity during face detection relative to the fixation task. ROIs in grey text indicate those regions with no significant connectivity modulations across tasks.
Cmdscale, 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/result/cmdscale/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
cmdscale - by Bioz Stars, 2026-03
90/100 stars
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matlab function cmdscale  (MathWorks Inc)
90
MathWorks Inc matlab function cmdscale
Dynamic Reconfiguration of Face Network as a function of Task Top Row: Connectivity Matrices for Stimulus Relevant Face Detection Task (Left) and Stimulus Irrelevant Fixation Task (Right). Asterisks indicate correlation coefficients that significantly (p<0.05) difference between tasks and are identical between matrices for visualization purposes. Bottom Row. Classic <t>Multidimensional</t> Scaling for connectivity matrices highlights the higher proximity of the rAIT to the core face areas as a function of increased connectivity during face detection relative to the fixation task. ROIs in grey text indicate those regions with no significant connectivity modulations across tasks.
Matlab Function Cmdscale, 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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Average 90 stars, based on 1 article reviews
matlab function cmdscale - by Bioz Stars, 2026-03
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cmdscale  (RStudio)
90
RStudio cmdscale
Dynamic Reconfiguration of Face Network as a function of Task Top Row: Connectivity Matrices for Stimulus Relevant Face Detection Task (Left) and Stimulus Irrelevant Fixation Task (Right). Asterisks indicate correlation coefficients that significantly (p<0.05) difference between tasks and are identical between matrices for visualization purposes. Bottom Row. Classic <t>Multidimensional</t> Scaling for connectivity matrices highlights the higher proximity of the rAIT to the core face areas as a function of increased connectivity during face detection relative to the fixation task. ROIs in grey text indicate those regions with no significant connectivity modulations across tasks.
Cmdscale, supplied by RStudio, 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/result/cmdscale/product/RStudio
Average 90 stars, based on 1 article reviews
cmdscale - by Bioz Stars, 2026-03
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cmdscale function in matlab r2018b  (MathWorks Inc)
90
MathWorks Inc cmdscale function in matlab r2018b
Dynamic Reconfiguration of Face Network as a function of Task Top Row: Connectivity Matrices for Stimulus Relevant Face Detection Task (Left) and Stimulus Irrelevant Fixation Task (Right). Asterisks indicate correlation coefficients that significantly (p<0.05) difference between tasks and are identical between matrices for visualization purposes. Bottom Row. Classic <t>Multidimensional</t> Scaling for connectivity matrices highlights the higher proximity of the rAIT to the core face areas as a function of increased connectivity during face detection relative to the fixation task. ROIs in grey text indicate those regions with no significant connectivity modulations across tasks.
Cmdscale Function In Matlab R2018b, 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/result/cmdscale function in matlab r2018b/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
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r studio v4.0.5  (RStudio)
90
RStudio r studio v4.0.5
Dynamic Reconfiguration of Face Network as a function of Task Top Row: Connectivity Matrices for Stimulus Relevant Face Detection Task (Left) and Stimulus Irrelevant Fixation Task (Right). Asterisks indicate correlation coefficients that significantly (p<0.05) difference between tasks and are identical between matrices for visualization purposes. Bottom Row. Classic <t>Multidimensional</t> Scaling for connectivity matrices highlights the higher proximity of the rAIT to the core face areas as a function of increased connectivity during face detection relative to the fixation task. ROIs in grey text indicate those regions with no significant connectivity modulations across tasks.
R Studio V4.0.5, supplied by RStudio, 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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r studio v4.0.5 - by Bioz Stars, 2026-03
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Image Search Results


Dynamic Reconfiguration of Face Network as a function of Task Top Row: Connectivity Matrices for Stimulus Relevant Face Detection Task (Left) and Stimulus Irrelevant Fixation Task (Right). Asterisks indicate correlation coefficients that significantly (p<0.05) difference between tasks and are identical between matrices for visualization purposes. Bottom Row. Classic Multidimensional Scaling for connectivity matrices highlights the higher proximity of the rAIT to the core face areas as a function of increased connectivity during face detection relative to the fixation task. ROIs in grey text indicate those regions with no significant connectivity modulations across tasks.

Journal: NeuroImage

Article Title: Clarifying the role of higher-level cortices in resolving perceptual ambiguity using Ultra High Field fMRI

doi: 10.1016/j.neuroimage.2020.117654

Figure Lengend Snippet: Dynamic Reconfiguration of Face Network as a function of Task Top Row: Connectivity Matrices for Stimulus Relevant Face Detection Task (Left) and Stimulus Irrelevant Fixation Task (Right). Asterisks indicate correlation coefficients that significantly (p<0.05) difference between tasks and are identical between matrices for visualization purposes. Bottom Row. Classic Multidimensional Scaling for connectivity matrices highlights the higher proximity of the rAIT to the core face areas as a function of increased connectivity during face detection relative to the fixation task. ROIs in grey text indicate those regions with no significant connectivity modulations across tasks.

Article Snippet: For display purposes only, after computing the mean between the Fisher z-normalized connectivity matrices, we computed the inverse of such transformation on the group average connectivity matrices to convert these scores back into meaningful and interpretable Pearson’s r. To better visualize the results of our functional connectivity analysis, we further performed classic multidimensional scaling (MDS - using the function “cmdscale” in MATLAB) on the participants average dissimilarity matrix (i.e. 1- Pearson’s r).

Techniques: