matlab command-line interface Search Results


stateflow elements  (MathWorks Inc)
96
MathWorks Inc stateflow elements
Example of <t>MATLAB/Stateflow</t> model elements
Stateflow Elements, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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forward dynamics tool  (OpenSim Ltd)
90
OpenSim Ltd forward dynamics tool
Example of <t>MATLAB/Stateflow</t> model elements
Forward Dynamics Tool, supplied by OpenSim Ltd, 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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b abqrw script  (Abaqus Inc)
86
Abaqus Inc b abqrw script
Example of <t>MATLAB/Stateflow</t> model elements
B Abqrw Script, supplied by Abaqus Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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matlab code  (MathWorks Inc)
95
MathWorks Inc matlab code
Example of <t>MATLAB/Stateflow</t> model elements
Matlab Code, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 95/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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2013b  (MathWorks Inc)
96
MathWorks Inc 2013b
Example of <t>MATLAB/Stateflow</t> model elements
2013b, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 96 stars, based on 1 article reviews
2013b - by Bioz Stars, 2026-06
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data visualization intermediate toolbox users  (MathWorks Inc)
96
MathWorks Inc data visualization intermediate toolbox users
Figure 4. Demonstrations of voxel-wise <t>visualization.</t> This figure shows SPM graphics windows resulting from voxel-wise visualization tools included in the MACS <t>toolbox.</t> (A) Using the module “inspect goodness of fit”, measured and predicted fMRI signal are shown alongside goodness-of-fit measures (see Section 2.1.1) which can be browsed for every in-mask voxel included in a particular first-level analysis (see Ashburner et al., 2016, sec. 31.2). The lower panel highlights voxels with the top 5% (yellow, good fit) and the bottom 5% (red, bad fit) in terms of coefficient of determination (R2) for this GLM. (B) Using the module “visualize high-dimensional <t>data”,</t> several data points in each brain region can be displayed and browsed in a voxel-wise fashion. The lower panel highlights voxels in which the R2 of a GLM (the same as in A) is larger than 0.¯3. The upper panel bar plots beta estimates from the four experimental condition regressors of this model, indicating a negative effect of both two-level factors in this voxel (see Ashburner et al., 2016, fig. 31.1). Note that this feature may also be used to display voxel-wise posterior probabilities or model frequencies in large model spaces for comparing model preferences in different regions of interest.
Data Visualization Intermediate Toolbox Users, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/data visualization intermediate toolbox users/product/MathWorks Inc
Average 96 stars, based on 1 article reviews
data visualization intermediate toolbox users - by Bioz Stars, 2026-06
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software qtest  (QTest Labs)
90
QTest Labs software qtest
Figure 4. Demonstrations of voxel-wise <t>visualization.</t> This figure shows SPM graphics windows resulting from voxel-wise visualization tools included in the MACS <t>toolbox.</t> (A) Using the module “inspect goodness of fit”, measured and predicted fMRI signal are shown alongside goodness-of-fit measures (see Section 2.1.1) which can be browsed for every in-mask voxel included in a particular first-level analysis (see Ashburner et al., 2016, sec. 31.2). The lower panel highlights voxels with the top 5% (yellow, good fit) and the bottom 5% (red, bad fit) in terms of coefficient of determination (R2) for this GLM. (B) Using the module “visualize high-dimensional <t>data”,</t> several data points in each brain region can be displayed and browsed in a voxel-wise fashion. The lower panel highlights voxels in which the R2 of a GLM (the same as in A) is larger than 0.¯3. The upper panel bar plots beta estimates from the four experimental condition regressors of this model, indicating a negative effect of both two-level factors in this voxel (see Ashburner et al., 2016, fig. 31.1). Note that this feature may also be used to display voxel-wise posterior probabilities or model frequencies in large model spaces for comparing model preferences in different regions of interest.
Software Qtest, supplied by QTest Labs, 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/software qtest/product/QTest Labs
Average 90 stars, based on 1 article reviews
software qtest - by Bioz Stars, 2026-06
90/100 stars
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aslm toolbox  (MathWorks Inc)
96
MathWorks Inc aslm toolbox
Figure 4. Demonstrations of voxel-wise <t>visualization.</t> This figure shows SPM graphics windows resulting from voxel-wise visualization tools included in the MACS <t>toolbox.</t> (A) Using the module “inspect goodness of fit”, measured and predicted fMRI signal are shown alongside goodness-of-fit measures (see Section 2.1.1) which can be browsed for every in-mask voxel included in a particular first-level analysis (see Ashburner et al., 2016, sec. 31.2). The lower panel highlights voxels with the top 5% (yellow, good fit) and the bottom 5% (red, bad fit) in terms of coefficient of determination (R2) for this GLM. (B) Using the module “visualize high-dimensional <t>data”,</t> several data points in each brain region can be displayed and browsed in a voxel-wise fashion. The lower panel highlights voxels in which the R2 of a GLM (the same as in A) is larger than 0.¯3. The upper panel bar plots beta estimates from the four experimental condition regressors of this model, indicating a negative effect of both two-level factors in this voxel (see Ashburner et al., 2016, fig. 31.1). Note that this feature may also be used to display voxel-wise posterior probabilities or model frequencies in large model spaces for comparing model preferences in different regions of interest.
Aslm Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/aslm toolbox/product/MathWorks Inc
Average 96 stars, based on 1 article reviews
aslm toolbox - by Bioz Stars, 2026-06
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siemens 1200 program  (Siemens AG)
90
Siemens AG siemens 1200 program
Figure 4. Demonstrations of voxel-wise <t>visualization.</t> This figure shows SPM graphics windows resulting from voxel-wise visualization tools included in the MACS <t>toolbox.</t> (A) Using the module “inspect goodness of fit”, measured and predicted fMRI signal are shown alongside goodness-of-fit measures (see Section 2.1.1) which can be browsed for every in-mask voxel included in a particular first-level analysis (see Ashburner et al., 2016, sec. 31.2). The lower panel highlights voxels with the top 5% (yellow, good fit) and the bottom 5% (red, bad fit) in terms of coefficient of determination (R2) for this GLM. (B) Using the module “visualize high-dimensional <t>data”,</t> several data points in each brain region can be displayed and browsed in a voxel-wise fashion. The lower panel highlights voxels in which the R2 of a GLM (the same as in A) is larger than 0.¯3. The upper panel bar plots beta estimates from the four experimental condition regressors of this model, indicating a negative effect of both two-level factors in this voxel (see Ashburner et al., 2016, fig. 31.1). Note that this feature may also be used to display voxel-wise posterior probabilities or model frequencies in large model spaces for comparing model preferences in different regions of interest.
Siemens 1200 Program, supplied by Siemens AG, 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/siemens 1200 program/product/Siemens AG
Average 90 stars, based on 1 article reviews
siemens 1200 program - by Bioz Stars, 2026-06
90/100 stars
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siemens 1200 software  (Siemens AG)
90
Siemens AG siemens 1200 software
Figure 4. Demonstrations of voxel-wise <t>visualization.</t> This figure shows SPM graphics windows resulting from voxel-wise visualization tools included in the MACS <t>toolbox.</t> (A) Using the module “inspect goodness of fit”, measured and predicted fMRI signal are shown alongside goodness-of-fit measures (see Section 2.1.1) which can be browsed for every in-mask voxel included in a particular first-level analysis (see Ashburner et al., 2016, sec. 31.2). The lower panel highlights voxels with the top 5% (yellow, good fit) and the bottom 5% (red, bad fit) in terms of coefficient of determination (R2) for this GLM. (B) Using the module “visualize high-dimensional <t>data”,</t> several data points in each brain region can be displayed and browsed in a voxel-wise fashion. The lower panel highlights voxels in which the R2 of a GLM (the same as in A) is larger than 0.¯3. The upper panel bar plots beta estimates from the four experimental condition regressors of this model, indicating a negative effect of both two-level factors in this voxel (see Ashburner et al., 2016, fig. 31.1). Note that this feature may also be used to display voxel-wise posterior probabilities or model frequencies in large model spaces for comparing model preferences in different regions of interest.
Siemens 1200 Software, supplied by Siemens AG, 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/siemens 1200 software/product/Siemens AG
Average 90 stars, based on 1 article reviews
siemens 1200 software - by Bioz Stars, 2026-06
90/100 stars
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Image Search Results


Example of MATLAB/Stateflow model elements

Journal: Software and Systems Modeling

Article Title: Runtime translation of OCL-like statements on Simulink models: Expanding domains and optimising queries

doi: 10.1007/s10270-021-00910-0

Figure Lengend Snippet: Example of MATLAB/Stateflow model elements

Article Snippet: In contrast, model element types used in the Simulink EMC driver are closer to those managed by the MATLAB command line interface and also include Stateflow elements.

Techniques:

Number of elements per type on each model

Journal: Software and Systems Modeling

Article Title: Runtime translation of OCL-like statements on Simulink models: Expanding domains and optimising queries

doi: 10.1007/s10270-021-00910-0

Figure Lengend Snippet: Number of elements per type on each model

Article Snippet: In contrast, model element types used in the Simulink EMC driver are closer to those managed by the MATLAB command line interface and also include Stateflow elements.

Techniques: Blocking Assay

Figure 4. Demonstrations of voxel-wise visualization. This figure shows SPM graphics windows resulting from voxel-wise visualization tools included in the MACS toolbox. (A) Using the module “inspect goodness of fit”, measured and predicted fMRI signal are shown alongside goodness-of-fit measures (see Section 2.1.1) which can be browsed for every in-mask voxel included in a particular first-level analysis (see Ashburner et al., 2016, sec. 31.2). The lower panel highlights voxels with the top 5% (yellow, good fit) and the bottom 5% (red, bad fit) in terms of coefficient of determination (R2) for this GLM. (B) Using the module “visualize high-dimensional data”, several data points in each brain region can be displayed and browsed in a voxel-wise fashion. The lower panel highlights voxels in which the R2 of a GLM (the same as in A) is larger than 0.¯3. The upper panel bar plots beta estimates from the four experimental condition regressors of this model, indicating a negative effect of both two-level factors in this voxel (see Ashburner et al., 2016, fig. 31.1). Note that this feature may also be used to display voxel-wise posterior probabilities or model frequencies in large model spaces for comparing model preferences in different regions of interest.

Journal: Journal of neuroscience methods

Article Title: MACS - a new SPM toolbox for model assessment, comparison and selection.

doi: 10.1016/j.jneumeth.2018.05.017

Figure Lengend Snippet: Figure 4. Demonstrations of voxel-wise visualization. This figure shows SPM graphics windows resulting from voxel-wise visualization tools included in the MACS toolbox. (A) Using the module “inspect goodness of fit”, measured and predicted fMRI signal are shown alongside goodness-of-fit measures (see Section 2.1.1) which can be browsed for every in-mask voxel included in a particular first-level analysis (see Ashburner et al., 2016, sec. 31.2). The lower panel highlights voxels with the top 5% (yellow, good fit) and the bottom 5% (red, bad fit) in terms of coefficient of determination (R2) for this GLM. (B) Using the module “visualize high-dimensional data”, several data points in each brain region can be displayed and browsed in a voxel-wise fashion. The lower panel highlights voxels in which the R2 of a GLM (the same as in A) is larger than 0.¯3. The upper panel bar plots beta estimates from the four experimental condition regressors of this model, indicating a negative effect of both two-level factors in this voxel (see Ashburner et al., 2016, fig. 31.1). Note that this feature may also be used to display voxel-wise posterior probabilities or model frequencies in large model spaces for comparing model preferences in different regions of interest.

Article Snippet: Examples are given in Figures 3 and 4: - Figure 3 : batch for cross-validated Bayesian model selection - Figure 4A: output from goodness-of-fit inspection for a GLM - Figure 4B: output from high-dimensional data visualization Intermediate toolbox users may also use the batch editor, but will additionally call the interface functions via MATLAB’s command-line interface.

Techniques: