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nonlinear least-squares fitting function lsqnonlin  (MathWorks Inc)


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    MathWorks Inc nonlinear least-squares fitting function lsqnonlin
    Nonlinear Least Squares Fitting Function Lsqnonlin, 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/nonlinear+least-squares+fitting+function+lsqnonlin/pmc12119876-166-22-27
    Average 90 stars, based on 1 article reviews
    nonlinear least-squares fitting function lsqnonlin - by Bioz Stars, 2026-09
    90/100 stars

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    Article Title: Cellular and Network Contributions to Vestibular Signal Processing: Impact of Ion Conductances, Synaptic Inhibition, and Noise
    Article Snippet: The fit was realized using the nonlinear least-squares fitting function “lsqnonlin” in MATLAB (The MathWorks).

    Article Title: Seasonal timing and interindividual differences in shiftwork adaptation
    Article Snippet: The ODE solutions and steps data were normalized by their respective means in group 1, and data were fit using the nonlinear least-squares fitting function lsqnonlin in MATLAB.

    Article Title: Increased sensitivity of fast BOLD fMRI with a subject-specific hemodynamic response function and application to epilepsy.
    Article Snippet: Article history: Accepted 18 February 2014 Available online 25 February 2014 Activation detection in functional Magnetic Resonance Imaging (fMRI) typically assumes the hemodynamic response to neuronal activity to be invariant across brain regions and subjects.. Reports of substantial variability of the morphology of blood-oxygenation-level-dependent (BOLD) responses are accumulating, suggesting that the use of a single generic model of the expected response in general linear model (GLM) analyses does not provide optimal sensitivity due to model misspecification.. Relaxing assumptions of the model can limit the impact of hemodynamic response function (HRF) variability, but at a cost on model parsimony.

    Article Title: Seasonal timing and interindividual differences in shiftwork adaptation.
    Article Snippet: TheODE solutions and steps data were normalized by their respective means in group 1, and data were fit using the nonlinear least-squares fitting function lsqnonlin in MATLAB.



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