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gaussian window of ~30 ms matlab's 'smoothdata' function  (MathWorks Inc)


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    MathWorks Inc gaussian window of ~30 ms matlab's 'smoothdata' function
    Gaussian Window Of ~30 Ms Matlab's 'Smoothdata' Function, 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/gaussian+window+function/pmc07676510-210-13-11
    Average 90 stars, based on 1 article reviews
    gaussian window of ~30 ms matlab's 'smoothdata' function - by Bioz Stars, 2026-09
    90/100 stars

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    Article Title: Effect of extracorporeal circulation on structure of main components of animal plasma - ATR-IR and 2D-COS studies: Part I.
    Article Snippet: • Examination of animal plasma during ECC by ATR-IR and 2D-COS

    Article Title: On the potential sources of a low-frequency sound percept only a few can hear
    Article Snippet: To achieve this, the CG1 hearing thresholds were fitted with a polynomial function (3 rd order, red line in ; MatLab’s “polyfit” function was used) to obtain an extra- and interpolated LFHT.

    Article Title: Improved estimation of forage nitrogen in alpine grassland by integrating Sentinel-2 and SIF data.
    Article Snippet: For this study, the GPR model was constructed using MATLAB 2022a’s “fitrgp” function (Math Works, USA), which employs a “matern32” as its kernel function.

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    Article Snippet: Sequences of fBm are created using Matlab’s built-in function wfBm(H,k) with zero mean, variance 1, Hurst exponent H , and length k [ ].

    Article Title: Iterative Forecasting of Financial Time Series: The Greek Stock Market from 2019 to 2024.
    Article Snippet: Sequences of fBm are created using Matlab’s built-in function wfBm(H,k) with zero mean, variance 1, Hurst exponent H, and length k [62].

    Article Title: Quantifying axonal features of human superficial white matter from three-dimensional multibeam serial electron microscopy data assisted by deep learning.
    Article Snippet: To quantify g-ratios (i.e., the ratio of the inner to outer axon diameter), adjacent myelinated axons with contact of their myelin sheaths were first automatically segmented using a non-weighted distance transform (i.e., MATLAB’s “bwdist” function) and watershed algorithm (i.e., MATLAB’s “watershed” function) on the CNN-segmented IAS masks.

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    Article Snippet: Our analysis seeks best social distancing strategies optimally balancing the direct costs of a threatening outbreak with its societal-level costs by investigating the effects of different levels of restrictions’ intensity and of the continued importation of infective travellers, while controlling for the key dimensions of the response, such as early action, adherence and the relative weight of societal costs.. We identify two primary degrees of freedom in epidemic control, namely the maximum intensity of control measures and their duration.. In the absence of travellers, a lower (higher) maximum intensity requires a longer (shorter) duration to achieve similar control outcomes.

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    Image Search Results


    One DIANA trial composed of total 20 prestimulus and 180 poststimulus frames (i.e., 1000-ms interstimulus interval) (mouse #3, see table S1). ( A ) tSNR map calculated from the average of 50 trials. ( B ) Cross-correlation map obtained with an expected neuronal response curve from Toi et al. , which was thresholded by absolute cross-correlation values of 0.1. Square box, 5 × 5–voxel S1BF ROI. ( C ) Trial-wise time courses of the active S1BF ROI. To visualize individual trials, 5 trials were plotted per row. Vertical bar, stimulus. ( D ) The averaged time course of 50 repeated trials with an expanded view in inset (red). An expected DIANA response (peaked at 25 ms) based on electrophysiology was also plotted (blue). A statistically significant positive peak was detected at 10 ms after the stimulus. Shaded area, SEM. ( E ) A histogram of data points (50 trials × 200 time points) in (C). A Gaussian noise distribution was observed with an SD of 0.377%. ( F ) A histogram of 50 individual trials at a fixed time (10 ms after stimulus) of the statistically significant positive peak. DIANA-like peaks may be observed from noisy data with limited samples just by chance.

    Journal: Science Advances

    Article Title: No replication of direct neuronal activity–related (DIANA) fMRI in anesthetized mice

    doi: 10.1126/sciadv.adl0999

    Figure Lengend Snippet: One DIANA trial composed of total 20 prestimulus and 180 poststimulus frames (i.e., 1000-ms interstimulus interval) (mouse #3, see table S1). ( A ) tSNR map calculated from the average of 50 trials. ( B ) Cross-correlation map obtained with an expected neuronal response curve from Toi et al. , which was thresholded by absolute cross-correlation values of 0.1. Square box, 5 × 5–voxel S1BF ROI. ( C ) Trial-wise time courses of the active S1BF ROI. To visualize individual trials, 5 trials were plotted per row. Vertical bar, stimulus. ( D ) The averaged time course of 50 repeated trials with an expanded view in inset (red). An expected DIANA response (peaked at 25 ms) based on electrophysiology was also plotted (blue). A statistically significant positive peak was detected at 10 ms after the stimulus. Shaded area, SEM. ( E ) A histogram of data points (50 trials × 200 time points) in (C). A Gaussian noise distribution was observed with an SD of 0.377%. ( F ) A histogram of 50 individual trials at a fixed time (10 ms after stimulus) of the statistically significant positive peak. DIANA-like peaks may be observed from noisy data with limited samples just by chance.

    Article Snippet: The DIANA response function was modeled as a Gaussian window function in MATLAB, “gausswin,” with a peak position at 25 ms after the stimulus and the full width at half maximum (FWHM) of ~25 ms.

    Techniques:

    ( A ) Averaged time courses of six individual animals in the active S1BF ROI without excluding trials (same as ). ( B ) A Gaussian reference outlier function with a full width of half minimum (FWHM) of ~25 ms peaked at 25 ms (blue) and 35 ms as a control (red). ( C ) An average of all animals’ time courses without excluding trials. This is the same as . In six animals, an individual trial’s time course was correlated with a reference function shown in (B), and ranked among all trials, on the basis of its cross-correlation value. Then, in each animal, trials were separated into included and excluded categories, based on an outlier threshold of top 6, 10, and 20% cross-correlation values. ( D and E ) Averaged time courses of the included and excluded trials in individual animals for the 25-ms (D) and 35-ms peak reference function (E). Averaged time courses of the included trials showed noisy positive responses, while those of the excluded trials showed a negative peak around the expected peak time. Each color time course, each animal. ( F ) Means of subject-wise included trials time courses with the 25-ms (blue) and 35-ms peak reference function (red). Clearly, an exclusion process leads to a spurious peak from noisy data. It is fundamentally important to note that these peaks are erroneous because such a preselection process is statistically circular, summing noise in a biased manner to produce precisely the peak that was preselected. Error bars, SEM.

    Journal: Science Advances

    Article Title: No replication of direct neuronal activity–related (DIANA) fMRI in anesthetized mice

    doi: 10.1126/sciadv.adl0999

    Figure Lengend Snippet: ( A ) Averaged time courses of six individual animals in the active S1BF ROI without excluding trials (same as ). ( B ) A Gaussian reference outlier function with a full width of half minimum (FWHM) of ~25 ms peaked at 25 ms (blue) and 35 ms as a control (red). ( C ) An average of all animals’ time courses without excluding trials. This is the same as . In six animals, an individual trial’s time course was correlated with a reference function shown in (B), and ranked among all trials, on the basis of its cross-correlation value. Then, in each animal, trials were separated into included and excluded categories, based on an outlier threshold of top 6, 10, and 20% cross-correlation values. ( D and E ) Averaged time courses of the included and excluded trials in individual animals for the 25-ms (D) and 35-ms peak reference function (E). Averaged time courses of the included trials showed noisy positive responses, while those of the excluded trials showed a negative peak around the expected peak time. Each color time course, each animal. ( F ) Means of subject-wise included trials time courses with the 25-ms (blue) and 35-ms peak reference function (red). Clearly, an exclusion process leads to a spurious peak from noisy data. It is fundamentally important to note that these peaks are erroneous because such a preselection process is statistically circular, summing noise in a biased manner to produce precisely the peak that was preselected. Error bars, SEM.

    Article Snippet: The DIANA response function was modeled as a Gaussian window function in MATLAB, “gausswin,” with a peak position at 25 ms after the stimulus and the full width at half maximum (FWHM) of ~25 ms.

    Techniques: Control

    ( A ) Gaussian reference functions for 5 × 5–voxel regions of the active contralateral thalamus (red) and S1BF (blue). Neuronal responses in the thalamus and S1 are expected to peak at ~15 and ~ 25 ms after the onset of whisker stimulus [figure 2 in the study by Toi et al. ], respectively. In three mice with significant BOLD responses also in the contralateral thalamus, a Gaussian reference function with a FWHM of ~15 ms peaked at 25 ms in the S1BF (blue) and 15 ms in the thalamus (red) was used to cross-correlate time courses of individual trials. In each animal, trials were selected, on the basis of a threshold of top 20, 50, and 80% cross-correlation values in each region. Two sets of selected trials (i.e., cortical and thalamic selection) for each threshold were obtained. ( B ) Averaged time courses of the S1BF and thalamus ROI obtained from the S1BF-selected trials. Blue, S1BF time course; red, thalamus. Error bars, SEM. ( C ) Cross-correlation map of one mouse (mouse #5). For the top 20% trials selected for the S1BF, voxel-wise cross-correlation values with Gaussian neural response functions peaking between 10 and 30 ms were calculated, and the highest cross-correlation values were mapped with a correlation amplitude threshold of 0.4 and a minimum of three contiguous voxels (see also fig. S4). ( D ) Averaged time courses of the S1BF and thalamus ROI obtained from the thalamus-selected trials. Blue, S1BF time course; red, thalamus. Artifactual peak intensity in the selected region was closely dependent on the selection threshold, while no obvious peak was observed in the unselected region. Error bars, SEM.

    Journal: Science Advances

    Article Title: No replication of direct neuronal activity–related (DIANA) fMRI in anesthetized mice

    doi: 10.1126/sciadv.adl0999

    Figure Lengend Snippet: ( A ) Gaussian reference functions for 5 × 5–voxel regions of the active contralateral thalamus (red) and S1BF (blue). Neuronal responses in the thalamus and S1 are expected to peak at ~15 and ~ 25 ms after the onset of whisker stimulus [figure 2 in the study by Toi et al. ], respectively. In three mice with significant BOLD responses also in the contralateral thalamus, a Gaussian reference function with a FWHM of ~15 ms peaked at 25 ms in the S1BF (blue) and 15 ms in the thalamus (red) was used to cross-correlate time courses of individual trials. In each animal, trials were selected, on the basis of a threshold of top 20, 50, and 80% cross-correlation values in each region. Two sets of selected trials (i.e., cortical and thalamic selection) for each threshold were obtained. ( B ) Averaged time courses of the S1BF and thalamus ROI obtained from the S1BF-selected trials. Blue, S1BF time course; red, thalamus. Error bars, SEM. ( C ) Cross-correlation map of one mouse (mouse #5). For the top 20% trials selected for the S1BF, voxel-wise cross-correlation values with Gaussian neural response functions peaking between 10 and 30 ms were calculated, and the highest cross-correlation values were mapped with a correlation amplitude threshold of 0.4 and a minimum of three contiguous voxels (see also fig. S4). ( D ) Averaged time courses of the S1BF and thalamus ROI obtained from the thalamus-selected trials. Blue, S1BF time course; red, thalamus. Artifactual peak intensity in the selected region was closely dependent on the selection threshold, while no obvious peak was observed in the unselected region. Error bars, SEM.

    Article Snippet: The DIANA response function was modeled as a Gaussian window function in MATLAB, “gausswin,” with a peak position at 25 ms after the stimulus and the full width at half maximum (FWHM) of ~25 ms.

    Techniques: Whisker Assay, Selection

    A Gaussian reference function with a FWHM of ~15 ms peaked at 25 ms in the S1BF and 15 ms in the thalamus was used to cross-correlate time courses of individual trials (see ). In all six individual mice, trials were selected jointly from both ROIs, based on a threshold of top 20, 50, and 80% combined cross-correlation values. ( A and B ) Averaged (A) and individual animal’s time courses (B) of the S1BF and thalamus ROI obtained from the jointly selected trials in six mice. Artifactual peaks with a 10-ms difference between thalamus and S1BF were obviously observed as expected. Error bars, SEM. ( C and D ) Cross-correlation (C) and peak time map (D) of one mouse (mouse #6). For top 20% trials selected for both S1BF and thalamus, voxel-wise cross-correlation values with Gaussian neural response functions peaked between 10 and 30 ms were calculated, and the highest cross-correlation values and time shifts were then mapped with a cross-correlation threshold of 0.35 and a minimum of three contiguous voxels (see also fig. S5).

    Journal: Science Advances

    Article Title: No replication of direct neuronal activity–related (DIANA) fMRI in anesthetized mice

    doi: 10.1126/sciadv.adl0999

    Figure Lengend Snippet: A Gaussian reference function with a FWHM of ~15 ms peaked at 25 ms in the S1BF and 15 ms in the thalamus was used to cross-correlate time courses of individual trials (see ). In all six individual mice, trials were selected jointly from both ROIs, based on a threshold of top 20, 50, and 80% combined cross-correlation values. ( A and B ) Averaged (A) and individual animal’s time courses (B) of the S1BF and thalamus ROI obtained from the jointly selected trials in six mice. Artifactual peaks with a 10-ms difference between thalamus and S1BF were obviously observed as expected. Error bars, SEM. ( C and D ) Cross-correlation (C) and peak time map (D) of one mouse (mouse #6). For top 20% trials selected for both S1BF and thalamus, voxel-wise cross-correlation values with Gaussian neural response functions peaked between 10 and 30 ms were calculated, and the highest cross-correlation values and time shifts were then mapped with a cross-correlation threshold of 0.35 and a minimum of three contiguous voxels (see also fig. S5).

    Article Snippet: The DIANA response function was modeled as a Gaussian window function in MATLAB, “gausswin,” with a peak position at 25 ms after the stimulus and the full width at half maximum (FWHM) of ~25 ms.

    Techniques: