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general linear model fitting function  (MathWorks Inc)


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    MathWorks Inc general linear model fitting function
    General Linear Model Fitting 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/product/general+linear+model+fitting+function/pmc02757636-928-13-12
    Average 90 stars, based on 1 article reviews
    general linear model fitting function - by Bioz Stars, 2026-10
    90/100 stars

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    Article Title: Response of Neuronal Populations to Phase-Locked Stimulation: Model-Based Predictions and Validation
    Article Snippet: An optimization-based model fitting algorithm was developed in MATLAB to fit the finite Kuramoto model to individual subjects.

    Article Title: Hydration Effects Driving Network Remodeling in Hydrogels during Cyclic Loading.
    Article Snippet: The model was fitted to the data using the nonlinear model fitting function of Matlab.

    Article Title: Quantifying retinal size and shape distortion in different ultra-widefield imaging systems.
    Article Snippet: The data were processed using a quadratic polynomial (second- order) fitting model provided by an automated MATLAB (The Mathworks, Natwick, USA) programme.

    Article Title: Coinfecting phages impede each other's entry into the cell.
    Article Snippet: Model fitting was implemented with the MATLAB ‘lsqcurvefit’ function, using nonlinear leastsquares optimization and the trust-region algorithm.

    Article Title: µFIX – Enabling Combinations of Concurrent Optogenetics and Lock-in Amplification Fiber Photometry via Removal of Optogenetic Stimulation Crosstalk
    Article Snippet: Single-frequency model fitting using the least-squares method in Matlab.

    Article Title: Quantifying retinal size and shape distortion in different ultra-widefield imaging systems
    Article Snippet: The data were processed using a quadratic polynomial (second-order) fitting model provided by an automated MATLAB (The Mathworks, Natwick, USA) programme.

    Article Title: How Sure is the Driver? Modelling Drivers’ Confidence in Left-Turn Gap Acceptance Decisions
    Article Snippet: For both stages of model fitting, “fmincon” function of MATLAB R2020a was used to find the best-fitting parameters.

    Positron Emission Tomography:

    Article Title: A blood-free modeling approach for the quantification of the blood-to-brain tracer exchange in TSPO PET imaging
    Article Snippet: .. All model fitting and statistical analyses were performed using MATLAB ( MathWorks ), although slightly different versions were adopted for the three PET centers: Matlab2017b for KCL , Matlab2023a for MGH and Matlab2022b for ICM . ..



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    A: Microelectrode recordings were performed in regions of the globus pallidus and thalamus with spike activity that was responsive to passive joint movement. B: Results of experimenter-blinded muscle rigidity scoring for both monkeys at three DBS settings. C and D: Co-registration of pre-operative MRI and post-electrode implantation CT showing DBS electrode location for monkey R (C) and K (D). E and F: Localization of recorded cells obtained from stereotactic navigation software and overlaid on corresponding atlas plates for monkey R (top) and K (bottom) for both the pallidum (E) and the thalamus (F). G: A <t>generalized</t> <t>linear</t> <t>model</t> <t>(GLM)</t> accounting for position, velocity, and acceleration of the joint movement was applied to determine the correlation between kinematics of the joint movement (top row) and spike activity (2 nd row: spike raster, 3 rd row: corresponding rate histogram). Bottom row shows the GLM prediction of firing rate.
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    A: Microelectrode recordings were performed in regions of the globus pallidus and thalamus with spike activity that was responsive to passive joint movement. B: Results of experimenter-blinded muscle rigidity scoring for both monkeys at three DBS settings. C and D: Co-registration of pre-operative MRI and post-electrode implantation CT showing DBS electrode location for monkey R (C) and K (D). E and F: Localization of recorded cells obtained from stereotactic navigation software and overlaid on corresponding atlas plates for monkey R (top) and K (bottom) for both the pallidum (E) and the thalamus (F). G: A <t>generalized</t> <t>linear</t> <t>model</t> <t>(GLM)</t> accounting for position, velocity, and acceleration of the joint movement was applied to determine the correlation between kinematics of the joint movement (top row) and spike activity (2 nd row: spike raster, 3 rd row: corresponding rate histogram). Bottom row shows the GLM prediction of firing rate.
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    A: Microelectrode recordings were performed in regions of the globus pallidus and thalamus with spike activity that was responsive to passive joint movement. B: Results of experimenter-blinded muscle rigidity scoring for both monkeys at three DBS settings. C and D: Co-registration of pre-operative MRI and post-electrode implantation CT showing DBS electrode location for monkey R (C) and K (D). E and F: Localization of recorded cells obtained from stereotactic navigation software and overlaid on corresponding atlas plates for monkey R (top) and K (bottom) for both the pallidum (E) and the thalamus (F). G: A <t>generalized</t> <t>linear</t> <t>model</t> <t>(GLM)</t> accounting for position, velocity, and acceleration of the joint movement was applied to determine the correlation between kinematics of the joint movement (top row) and spike activity (2 nd row: spike raster, 3 rd row: corresponding rate histogram). Bottom row shows the GLM prediction of firing rate.
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    A: Microelectrode recordings were performed in regions of the globus pallidus and thalamus with spike activity that was responsive to passive joint movement. B: Results of experimenter-blinded muscle rigidity scoring for both monkeys at three DBS settings. C and D: Co-registration of pre-operative MRI and post-electrode implantation CT showing DBS electrode location for monkey R (C) and K (D). E and F: Localization of recorded cells obtained from stereotactic navigation software and overlaid on corresponding atlas plates for monkey R (top) and K (bottom) for both the pallidum (E) and the thalamus (F). G: A <t>generalized</t> <t>linear</t> <t>model</t> <t>(GLM)</t> accounting for position, velocity, and acceleration of the joint movement was applied to determine the correlation between kinematics of the joint movement (top row) and spike activity (2 nd row: spike raster, 3 rd row: corresponding rate histogram). Bottom row shows the GLM prediction of firing rate.
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    A: Microelectrode recordings were performed in regions of the globus pallidus and thalamus with spike activity that was responsive to passive joint movement. B: Results of experimenter-blinded muscle rigidity scoring for both monkeys at three DBS settings. C and D: Co-registration of pre-operative MRI and post-electrode implantation CT showing DBS electrode location for monkey R (C) and K (D). E and F: Localization of recorded cells obtained from stereotactic navigation software and overlaid on corresponding atlas plates for monkey R (top) and K (bottom) for both the pallidum (E) and the thalamus (F). G: A <t>generalized</t> <t>linear</t> <t>model</t> <t>(GLM)</t> accounting for position, velocity, and acceleration of the joint movement was applied to determine the correlation between kinematics of the joint movement (top row) and spike activity (2 nd row: spike raster, 3 rd row: corresponding rate histogram). Bottom row shows the GLM prediction of firing rate.
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    A: Microelectrode recordings were performed in regions of the globus pallidus and thalamus with spike activity that was responsive to passive joint movement. B: Results of experimenter-blinded muscle rigidity scoring for both monkeys at three DBS settings. C and D: Co-registration of pre-operative MRI and post-electrode implantation CT showing DBS electrode location for monkey R (C) and K (D). E and F: Localization of recorded cells obtained from stereotactic navigation software and overlaid on corresponding atlas plates for monkey R (top) and K (bottom) for both the pallidum (E) and the thalamus (F). G: A generalized linear model (GLM) accounting for position, velocity, and acceleration of the joint movement was applied to determine the correlation between kinematics of the joint movement (top row) and spike activity (2 nd row: spike raster, 3 rd row: corresponding rate histogram). Bottom row shows the GLM prediction of firing rate.

    Journal: PLoS ONE

    Article Title: Deep Brain Stimulation Imposes Complex Informational Lesions

    doi: 10.1371/journal.pone.0074462

    Figure Lengend Snippet: A: Microelectrode recordings were performed in regions of the globus pallidus and thalamus with spike activity that was responsive to passive joint movement. B: Results of experimenter-blinded muscle rigidity scoring for both monkeys at three DBS settings. C and D: Co-registration of pre-operative MRI and post-electrode implantation CT showing DBS electrode location for monkey R (C) and K (D). E and F: Localization of recorded cells obtained from stereotactic navigation software and overlaid on corresponding atlas plates for monkey R (top) and K (bottom) for both the pallidum (E) and the thalamus (F). G: A generalized linear model (GLM) accounting for position, velocity, and acceleration of the joint movement was applied to determine the correlation between kinematics of the joint movement (top row) and spike activity (2 nd row: spike raster, 3 rd row: corresponding rate histogram). Bottom row shows the GLM prediction of firing rate.

    Article Snippet: A generalized linear model (GLM) fit function in Matlab (Mathworks, Natick MA) was applied, with Δt=1 ms and covariates of position, velocity, and acceleration in the plane of the tracked limb’s movement ( ).

    Techniques: Activity Assay, Software