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optimization toolbox of matlab 2016a  (MathWorks Inc)


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    MathWorks Inc optimization toolbox of matlab 2016a
    Optimization Toolbox Of Matlab 2016a, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 2943 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/optimization toolbox of matlab 2016a/product/MathWorks Inc
    Average 96 stars, based on 2943 article reviews
    optimization toolbox of matlab 2016a - by Bioz Stars, 2026-03
    96/100 stars

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    Key Resources Table

    Journal: Neuron

    Article Title: A neural signature of divisive normalization at the level of multisensory integration in primate cortex

    doi: 10.1016/j.neuron.2017.06.043

    Figure Lengend Snippet: Key Resources Table

    Article Snippet: ​ Reagent or Resource Source Identifier Experimental Models: Organisms/Strains Macaca mulatta Primate Products N/A Software and Algorithms MATLAB 2016a statistics and machine learning toolbox Mathworks https://www.mathworks.com MATLAB 2016a optimization toolbox Mathworks https://www.mathworks.com MATLAB 2016a parallel-computing toolbox Mathworks https://www.mathworks.com MATLAB model simulation code This paper N/A TEMPO Experiment control system Reflective computing http://reflectivecomputing.com/ Visual stimulus generation code, written in Visual C++ using the OpenGL graphics libraries This paper; Gu et al. 2006 N/A Other Tungsten microelectrodes, Epoxylite insulated Frederic Haer Company https://www.fh-co.com MOOG 6DOF2000E, 6-degree-of-freedom motion platform Moog, Inc http://www.moog.com Christie Mirage S + 3K, digital light projector Christie Digital www.christiedigital.com Open in a separate window Key Resources Table Many neurons in macaque area MSTd show a specific form of cross-modal suppression Cross-modal suppression is predicted by a divisive normalization mechanism Neurons in area MT, which project to MSTd, do not show cross-modal suppression Multisensory integration in area MSTd likely involves divisive normalization

    Techniques: Software