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guis stanford tree v1 0 1 matlab  (MathWorks Inc)


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    MathWorks Inc guis stanford tree v1 0 1 matlab
    Guis Stanford Tree V1 0 1 Matlab, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 402 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/trees+toolbox+(matlab)/Computer+Vision+Toolbox/pm40195549-318-33-35
    Average 96 stars, based on 402 article reviews
    guis stanford tree v1 0 1 matlab - by Bioz Stars, 2026-09
    96/100 stars

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    other:

    Article Title: Honey Differentiation Using Infrared and Raman Spectroscopy Analysis and the Employment of Machine-Learning-Based Authentication Models
    Article Snippet: Then, the fused data were processed, and the performance of the 34 algorithms available in the Matlab R2024a app (such as Trees, Discriminants, Naive Bayes, SVM, KNN, Ensembles, Neural Networks, and Kernels) was evaluated and further compared, .

    Article Title: Human induced pluripotent stem cell-derived cardiomyocytes and their use in a cardiac organ-on-a-chip to assay electrophysiology, calcium and contractility.
    Article Snippet: Cardiac organs-on-a-chip (OoCs) or microphysiological systems have the potential to predict cardiac effects of new drug candidates, including unanticipated cardiac outcomes, which are among the main causes for drug attrition.. This protocol describes how to prepare and use a cardiac OoC containing cardiomyocytes differentiated from human induced pluripotent stem cells (hiPS cells).. The use of cells derived from hiPS cells as reliable sources of human cells from diverse genetic backgrounds also holds great potential, especially when cultured in OoCs that are physiologically relevant culture platforms.

    Article Title: Visual long-term memory is not made more precise with medial-frontal direct-current stimulation
    Article Snippet: These stimuli were displayed using an Apple Macintosh computer running MATLAB (Mathworks Inc.) and the Psychophysics Toolbox ( Brainard, 1997 ).

    Article Title: Method for Extracellular Electrochemical Impedance Spectroscopy on Epithelial Cell Monolayers
    Article Snippet: Impedance Analysis GitHub (extracellularEIS, https://github.com/chien0507/extracellularEIS/tree/main ) a. Matlab Impedance Fitting Code (Nova_batch_20240125.m, Nova_function_20240125.m, fitZ12_20240125.m, funRCRC.m, makeTissueID.m) b. NOVA Custom Galvanostatic EIS Protocol (protocol.nox)

    Article Title: Effects of spinal transection and locomotor speed on muscle synergies of the cat hindlimb
    Article Snippet: We performed a cluster analysis of EMG burst clatter points using the minimum spanning tree algorithm in MATLAB (MathWorks, Natick, MA, USA) for each combination of spinal cord state (intact and spinal‐transected) and locomotion speed (0.4, 0.7 and 1.0 m/s).

    Software:

    Article Title: Age-Related differences in the relationship between sustained attention and associative memory and Memory-Guided inference.
    Article Snippet: Episodic memory enables the encoding and retrieval of novel associations, as well as the bridging across learned associations to draw novel inferences.. A fundamental goal of memory science is to understand the factors that give rise to individual and age-related differences in memory-dependent cognition.. Variability in episodic memory could arise, in part, from both individual differences in sustained attention and diminished attention in aging.

    Transformation Assay:

    Article Title: Effector general representation of movement goals in human frontal and parietal cortex
    Article Snippet: .. We then transformed saccade and reach data into degrees of visual angle using a third-order polynomial algorithm that fit eye and hand positions to known spatial locations, and then scored data offline with the MATLAB iEye toolbox ( https://github.com/clayspacelab/iEye/tree/iEye_ts ). ..



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    MathWorks Inc trees matlab toolbox
    (Top) Dorsal aspect of the enclosed blade (suprapyramidal) portion of an entorhinal cortical axon generated by one of two methods: <t>Trees</t> <t>Matlab</t> toolbox (BF = 5), and the proposed algorithm. Balancing factor, and connection threshold for the Trees toolbox were selected to align these distributions aligned favorably. (Bottom) Fundamental statistical distributions comparing the two methods in terms of nodal path length, direct distance vs. path distance, branching order, branch lengths, and bifurcation angles. The plotted curves represent probability densities and the box represents the mean. Despite matching many features of the proposed algorithm, the Trees generated arbor does not capture the en passant nature of the perforant path [seen in branching order (A), and length (B)] and has lingering bifurcations which have extreme angles (C).
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    Image Search Results


    (Top) Dorsal aspect of the enclosed blade (suprapyramidal) portion of an entorhinal cortical axon generated by one of two methods: Trees Matlab toolbox (BF = 5), and the proposed algorithm. Balancing factor, and connection threshold for the Trees toolbox were selected to align these distributions aligned favorably. (Bottom) Fundamental statistical distributions comparing the two methods in terms of nodal path length, direct distance vs. path distance, branching order, branch lengths, and bifurcation angles. The plotted curves represent probability densities and the box represents the mean. Despite matching many features of the proposed algorithm, the Trees generated arbor does not capture the en passant nature of the perforant path [seen in branching order (A), and length (B)] and has lingering bifurcations which have extreme angles (C).

    Journal: Frontiers in Computational Neuroscience

    Article Title: ROOTS: An Algorithm to Generate Biologically Realistic Cortical Axons and an Application to Electroceutical Modeling

    doi: 10.3389/fncom.2020.00013

    Figure Lengend Snippet: (Top) Dorsal aspect of the enclosed blade (suprapyramidal) portion of an entorhinal cortical axon generated by one of two methods: Trees Matlab toolbox (BF = 5), and the proposed algorithm. Balancing factor, and connection threshold for the Trees toolbox were selected to align these distributions aligned favorably. (Bottom) Fundamental statistical distributions comparing the two methods in terms of nodal path length, direct distance vs. path distance, branching order, branch lengths, and bifurcation angles. The plotted curves represent probability densities and the box represents the mean. Despite matching many features of the proposed algorithm, the Trees generated arbor does not capture the en passant nature of the perforant path [seen in branching order (A), and length (B)] and has lingering bifurcations which have extreme angles (C).

    Article Snippet: To test the functionality of this algorithm in comparison with others that already exist, we attempted to create satisfactory arbors with two commonly used alternative tools which were originally designed to grow dendritic arbors: the TREES Matlab toolbox , and L-NEURON ( ; ).

    Techniques: Generated