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maximum-likelihood algorithm implemented with the fmincon function in  (MathWorks Inc)


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    MathWorks Inc maximum-likelihood algorithm implemented with the fmincon function in
    Maximum Likelihood Algorithm Implemented With The Fmincon Function In, 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/likelihood+function/pmc11939063-426-9-17
    Average 90 stars, based on 1 article reviews
    maximum-likelihood algorithm implemented with the fmincon function in - by Bioz Stars, 2026-10
    90/100 stars

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    Article Title: Fear learning induces synaptic potentiation between engram neurons in the rat lateral amygdala
    Article Snippet: In addition, the maximum likelihood method was used to fit the acquired data (fminsearch function from MATLAB’s Optimization Toolbox), starting with the lowest estimate for n and increasing until a maximum of arbitrarily defined 14 release sites was reached (if the model reached the maximum number of release sites, the resulting fit was discarded).

    Article Title: Pavlovian cue-evoked alcohol seeking is disrupted by ventral pallidal inhibition
    Article Snippet: To account for a mixture of within-subject and between-subjects data collection we analyzed the data using linear mixed effects models (fitlme function with maximum likelihood estimation) in MATLAB (Mathworks).

    Article Title: Single-Molecule Tracking dataset for histone H3 (hht1) from live and fixed cells of Schizosaccharomyces pombe.
    Article Snippet: The script uses a MATLAB built-in function called ‘maximum likelihood estimate (mle)’ for the Gaussian fit.

    Article Title: A neural code supporting prospective probabilistic reasoning for instrumental information demand in humans.
    Article Snippet: Our general strategy was to implement linear mixed-effects regression to properly account for between-participant variance (fixed effects) and within-participant variance (random effects), using the MATLAB function fitlmewithmaximum likelihood estimation.

    Article Title: Contrast and luminance dependence of target choice and visual orientation in walking stick insects.
    Article Snippet: To estimate the critical contrast at which both patterns were equally attractive, we coded the decisions of the resulting staircase as 0 (Gaussian) or 1 (Bar) and fitted a logistic function to all trials per animal, using maximum likelihood optimisation in Matlab.

    Article Title: Medial prefrontal cortex suppresses reward-seeking behavior with risk of punishment by reducing sensitivity to reward
    Article Snippet: The logarithm of this likelihood was multiplied by −1 to allow the use of the fmincon function in MATLAB with appropriate lower and upper bounds for each free parameter.

    Article Title: Dorsal prefrontal cortex drives perseverative behavior in mice
    Article Snippet: The weights β were fit by maximum likelihood using MATLAB’s glmfit function with default options.

    Article Title: Automated 3D analysis of social head-gaze behaviors in freely moving marmosets
    Article Snippet: We used the a maximum likelihood estimation method (mle() function in the Statistics and Machine Learning Toolbox in MATLAB) to fit a mixture of Gamma and Gaussian distributions.



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