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non-linear curve fit function gaussian model  (OriginLab corp)


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    OriginLab corp non-linear curve fit function gaussian model
    Non Linear Curve Fit Function Gaussian Model, supplied by OriginLab corp, 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/non+linear+curve+fit+function+gaussian+model/pm30192133-94-16-28
    Average 90 stars, based on 1 article reviews
    non-linear curve fit function gaussian model - by Bioz Stars, 2026-11
    90/100 stars

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    Article Title: Larch Tree Rings as a Tool for Reconstructing 20th Century Central European Atmospheric Mercury Trends.
    Article Snippet: 8 We propose tree rings of European Larch (Larix decidua) as a widely available and reliable 9 geochemical archive of local and regional changes in atmospheric mercury (Hg).. Mean Hg 10 concentrations in larch tree rings from 8 background sites across the Czech Republic ranged from 2.2 11 to 4.8 μg kg; the maximum concentrations occurred in the period 1951-1970.. At 3 sites impacted by 12 Hg emission sources -gold amalgamation processing, caustic soda production and lead (Pb) ore 13 smelting -mean larch tree ring Hg concentrations were significantly elevated relative to background 14 sites.



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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