ica matlab function runica Search Results


infomax (runica  (MathWorks Inc)
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MathWorks Inc infomax (runica
Infomax (Runica, 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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infomax (runica - by Bioz Stars, 2026-04
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runica function  (MathWorks Inc)
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MathWorks Inc runica function
Brain-wide DOT CAPs. (A) Group-level spatial maps of HbR CAPs when k = 6, showing three anticorrelated CAP pairs, i.e., anterior-posterior (CAP4 and CAP5), dorsal-ventral (CAP1 and CAP2), and global pairs (CAP3 and CAP6); (B) group-level cluster centroids of 6 CAPs with ICs as building blocks. Large IC weights in each row (i.e., greater than 60% of the largest absolute value in the row) are denoted by solid circles (same colors used for anticorrelated CAP pairs); (C) spatial correlation (SC) between all possible pairs for the CAPs in (A). solid red dots: SC values < −0.90, indicating three anticorrelated pairs; (D) mean SC values of anticorrelated pairs and non-anticorrelated pairs of CAPs show statistically significant differences using a t-test (*****: p < 1e-5, corrected ); (E) the 3D distance map of the cluster centroids among 6 CAPs obtained with a multidimensional scaling tool <t>from</t> <t>Matlab.</t>
Runica 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
https://www.bioz.com/result/runica function/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
runica function - by Bioz Stars, 2026-04
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independent component analysis (ica) using runica.m  (MathWorks Inc)
90
MathWorks Inc independent component analysis (ica) using runica.m
Brain-wide DOT CAPs. (A) Group-level spatial maps of HbR CAPs when k = 6, showing three anticorrelated CAP pairs, i.e., anterior-posterior (CAP4 and CAP5), dorsal-ventral (CAP1 and CAP2), and global pairs (CAP3 and CAP6); (B) group-level cluster centroids of 6 CAPs with ICs as building blocks. Large IC weights in each row (i.e., greater than 60% of the largest absolute value in the row) are denoted by solid circles (same colors used for anticorrelated CAP pairs); (C) spatial correlation (SC) between all possible pairs for the CAPs in (A). solid red dots: SC values < −0.90, indicating three anticorrelated pairs; (D) mean SC values of anticorrelated pairs and non-anticorrelated pairs of CAPs show statistically significant differences using a t-test (*****: p < 1e-5, corrected ); (E) the 3D distance map of the cluster centroids among 6 CAPs obtained with a multidimensional scaling tool <t>from</t> <t>Matlab.</t>
Independent Component Analysis (Ica) Using Runica.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
https://www.bioz.com/result/independent component analysis (ica) using runica.m/product/MathWorks Inc
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independent component analysis (ica) using runica.m - by Bioz Stars, 2026-04
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independent component analysis runica algorithm  (MathWorks Inc)
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MathWorks Inc independent component analysis runica algorithm
Brain-wide DOT CAPs. (A) Group-level spatial maps of HbR CAPs when k = 6, showing three anticorrelated CAP pairs, i.e., anterior-posterior (CAP4 and CAP5), dorsal-ventral (CAP1 and CAP2), and global pairs (CAP3 and CAP6); (B) group-level cluster centroids of 6 CAPs with ICs as building blocks. Large IC weights in each row (i.e., greater than 60% of the largest absolute value in the row) are denoted by solid circles (same colors used for anticorrelated CAP pairs); (C) spatial correlation (SC) between all possible pairs for the CAPs in (A). solid red dots: SC values < −0.90, indicating three anticorrelated pairs; (D) mean SC values of anticorrelated pairs and non-anticorrelated pairs of CAPs show statistically significant differences using a t-test (*****: p < 1e-5, corrected ); (E) the 3D distance map of the cluster centroids among 6 CAPs obtained with a multidimensional scaling tool <t>from</t> <t>Matlab.</t>
Independent Component Analysis Runica 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
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independent component analysis runica algorithm - by Bioz Stars, 2026-04
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runica routine  (MathWorks Inc)
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MathWorks Inc runica routine
Brain-wide DOT CAPs. (A) Group-level spatial maps of HbR CAPs when k = 6, showing three anticorrelated CAP pairs, i.e., anterior-posterior (CAP4 and CAP5), dorsal-ventral (CAP1 and CAP2), and global pairs (CAP3 and CAP6); (B) group-level cluster centroids of 6 CAPs with ICs as building blocks. Large IC weights in each row (i.e., greater than 60% of the largest absolute value in the row) are denoted by solid circles (same colors used for anticorrelated CAP pairs); (C) spatial correlation (SC) between all possible pairs for the CAPs in (A). solid red dots: SC values < −0.90, indicating three anticorrelated pairs; (D) mean SC values of anticorrelated pairs and non-anticorrelated pairs of CAPs show statistically significant differences using a t-test (*****: p < 1e-5, corrected ); (E) the 3D distance map of the cluster centroids among 6 CAPs obtained with a multidimensional scaling tool <t>from</t> <t>Matlab.</t>
Runica Routine, 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/runica routine/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
runica routine - by Bioz Stars, 2026-04
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ica function runica  (MathWorks Inc)
90
MathWorks Inc ica function runica
Brain-wide DOT CAPs. (A) Group-level spatial maps of HbR CAPs when k = 6, showing three anticorrelated CAP pairs, i.e., anterior-posterior (CAP4 and CAP5), dorsal-ventral (CAP1 and CAP2), and global pairs (CAP3 and CAP6); (B) group-level cluster centroids of 6 CAPs with ICs as building blocks. Large IC weights in each row (i.e., greater than 60% of the largest absolute value in the row) are denoted by solid circles (same colors used for anticorrelated CAP pairs); (C) spatial correlation (SC) between all possible pairs for the CAPs in (A). solid red dots: SC values < −0.90, indicating three anticorrelated pairs; (D) mean SC values of anticorrelated pairs and non-anticorrelated pairs of CAPs show statistically significant differences using a t-test (*****: p < 1e-5, corrected ); (E) the 3D distance map of the cluster centroids among 6 CAPs obtained with a multidimensional scaling tool <t>from</t> <t>Matlab.</t>
Ica Function Runica, 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/ica function runica/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
ica function runica - by Bioz Stars, 2026-04
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ica matlab function runica  (MathWorks Inc)
90
MathWorks Inc ica matlab function runica
Brain-wide DOT CAPs. (A) Group-level spatial maps of HbR CAPs when k = 6, showing three anticorrelated CAP pairs, i.e., anterior-posterior (CAP4 and CAP5), dorsal-ventral (CAP1 and CAP2), and global pairs (CAP3 and CAP6); (B) group-level cluster centroids of 6 CAPs with ICs as building blocks. Large IC weights in each row (i.e., greater than 60% of the largest absolute value in the row) are denoted by solid circles (same colors used for anticorrelated CAP pairs); (C) spatial correlation (SC) between all possible pairs for the CAPs in (A). solid red dots: SC values < −0.90, indicating three anticorrelated pairs; (D) mean SC values of anticorrelated pairs and non-anticorrelated pairs of CAPs show statistically significant differences using a t-test (*****: p < 1e-5, corrected ); (E) the 3D distance map of the cluster centroids among 6 CAPs obtained with a multidimensional scaling tool <t>from</t> <t>Matlab.</t>
Ica Matlab Function Runica, 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/ica matlab function runica/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
ica matlab function runica - by Bioz Stars, 2026-04
90/100 stars
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Image Search Results


Brain-wide DOT CAPs. (A) Group-level spatial maps of HbR CAPs when k = 6, showing three anticorrelated CAP pairs, i.e., anterior-posterior (CAP4 and CAP5), dorsal-ventral (CAP1 and CAP2), and global pairs (CAP3 and CAP6); (B) group-level cluster centroids of 6 CAPs with ICs as building blocks. Large IC weights in each row (i.e., greater than 60% of the largest absolute value in the row) are denoted by solid circles (same colors used for anticorrelated CAP pairs); (C) spatial correlation (SC) between all possible pairs for the CAPs in (A). solid red dots: SC values < −0.90, indicating three anticorrelated pairs; (D) mean SC values of anticorrelated pairs and non-anticorrelated pairs of CAPs show statistically significant differences using a t-test (*****: p < 1e-5, corrected ); (E) the 3D distance map of the cluster centroids among 6 CAPs obtained with a multidimensional scaling tool from Matlab.

Journal: NeuroImage

Article Title: Transient brain-wide coactivations and structured transitions revealed in hemodynamic imaging data

doi: 10.1016/j.neuroimage.2022.119460

Figure Lengend Snippet: Brain-wide DOT CAPs. (A) Group-level spatial maps of HbR CAPs when k = 6, showing three anticorrelated CAP pairs, i.e., anterior-posterior (CAP4 and CAP5), dorsal-ventral (CAP1 and CAP2), and global pairs (CAP3 and CAP6); (B) group-level cluster centroids of 6 CAPs with ICs as building blocks. Large IC weights in each row (i.e., greater than 60% of the largest absolute value in the row) are denoted by solid circles (same colors used for anticorrelated CAP pairs); (C) spatial correlation (SC) between all possible pairs for the CAPs in (A). solid red dots: SC values < −0.90, indicating three anticorrelated pairs; (D) mean SC values of anticorrelated pairs and non-anticorrelated pairs of CAPs show statistically significant differences using a t-test (*****: p < 1e-5, corrected ); (E) the 3D distance map of the cluster centroids among 6 CAPs obtained with a multidimensional scaling tool from Matlab.

Article Snippet: Group spatial ICA was performed using MATLAB runica function ( https://sccn.ucsd.edu/ ).

Techniques: