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matlab function fitgeotrans  (MathWorks Inc)


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    MathWorks Inc matlab function fitgeotrans
    Matlab Function Fitgeotrans, 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/matlab function fitgeotrans/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    matlab function fitgeotrans - by Bioz Stars, 2026-04
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    a, Left, schematic of flexible decision-tree encoding model of unit activity. Coordinate axes extracted from tracked jaw and tongue <t>keypoints</t> were used to predict spike rates. Right, performance (10-fold cross-validated R ) of boosted tree models that used 6 jaw or 12 jaw+tongue axis weights. Gray indicates performance of linear models . b, Left, schematic of decision-tree encoding models after unsupervised extraction of kinematic features from the video data (Methods) , . Right, these models outperformed linear and boosted trees models that used keypoint-based data (a), however still did not explain large components of MSA activity.
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    a, Left, schematic of flexible decision-tree encoding model of unit activity. Coordinate axes extracted from tracked jaw and tongue <t>keypoints</t> were used to predict spike rates. Right, performance (10-fold cross-validated R ) of boosted tree models that used 6 jaw or 12 jaw+tongue axis weights. Gray indicates performance of linear models . b, Left, schematic of decision-tree encoding models after unsupervised extraction of kinematic features from the video data (Methods) , . Right, these models outperformed linear and boosted trees models that used keypoint-based data (a), however still did not explain large components of MSA activity.
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    a, Left, schematic of flexible decision-tree encoding model of unit activity. Coordinate axes extracted from tracked jaw and tongue <t>keypoints</t> were used to predict spike rates. Right, performance (10-fold cross-validated R ) of boosted tree models that used 6 jaw or 12 jaw+tongue axis weights. Gray indicates performance of linear models . b, Left, schematic of decision-tree encoding models after unsupervised extraction of kinematic features from the video data (Methods) , . Right, these models outperformed linear and boosted trees models that used keypoint-based data (a), however still did not explain large components of MSA activity.
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    a, Left, schematic of flexible decision-tree encoding model of unit activity. Coordinate axes extracted from tracked jaw and tongue <t>keypoints</t> were used to predict spike rates. Right, performance (10-fold cross-validated R ) of boosted tree models that used 6 jaw or 12 jaw+tongue axis weights. Gray indicates performance of linear models . b, Left, schematic of decision-tree encoding models after unsupervised extraction of kinematic features from the video data (Methods) , . Right, these models outperformed linear and boosted trees models that used keypoint-based data (a), however still did not explain large components of MSA activity.
    Fitgeotrans Matlab 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/fitgeotrans matlab function/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    fitgeotrans matlab function - by Bioz Stars, 2026-04
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    MathWorks Inc fitgeotrans matlab functions
    a, Left, schematic of flexible decision-tree encoding model of unit activity. Coordinate axes extracted from tracked jaw and tongue <t>keypoints</t> were used to predict spike rates. Right, performance (10-fold cross-validated R ) of boosted tree models that used 6 jaw or 12 jaw+tongue axis weights. Gray indicates performance of linear models . b, Left, schematic of decision-tree encoding models after unsupervised extraction of kinematic features from the video data (Methods) , . Right, these models outperformed linear and boosted trees models that used keypoint-based data (a), however still did not explain large components of MSA activity.
    Fitgeotrans Matlab Functions, 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/fitgeotrans matlab functions/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    fitgeotrans matlab functions - by Bioz Stars, 2026-04
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    a, Left, schematic of flexible decision-tree encoding model of unit activity. Coordinate axes extracted from tracked jaw and tongue keypoints were used to predict spike rates. Right, performance (10-fold cross-validated R ) of boosted tree models that used 6 jaw or 12 jaw+tongue axis weights. Gray indicates performance of linear models . b, Left, schematic of decision-tree encoding models after unsupervised extraction of kinematic features from the video data (Methods) , . Right, these models outperformed linear and boosted trees models that used keypoint-based data (a), however still did not explain large components of MSA activity.

    Journal: bioRxiv

    Article Title: Muscle spindles provide flexible sensory feedback for movement sequences

    doi: 10.1101/2024.09.13.612899

    Figure Lengend Snippet: a, Left, schematic of flexible decision-tree encoding model of unit activity. Coordinate axes extracted from tracked jaw and tongue keypoints were used to predict spike rates. Right, performance (10-fold cross-validated R ) of boosted tree models that used 6 jaw or 12 jaw+tongue axis weights. Gray indicates performance of linear models . b, Left, schematic of decision-tree encoding models after unsupervised extraction of kinematic features from the video data (Methods) , . Right, these models outperformed linear and boosted trees models that used keypoint-based data (a), however still did not explain large components of MSA activity.

    Article Snippet: Image stacks for each session were registered to a common cheek image (Supplementary Figure 2c,j) using manually selected keypoints (fitgeotrans in MATLAB, projective transformation).

    Techniques: Activity Assay, Extraction