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multiclass svm with a gaussian kernel  (MathWorks Inc)


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    MathWorks Inc multiclass svm with a gaussian kernel
    Multiclass Svm With A Gaussian Kernel, 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
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    (A) Example of subcortical beta ( purple ) and cortical delta ( green ) power during N2/N3 NREM in a single night from one PD participant (PD3) during ON stimulation depicting the inverse relationship in temporal domain. The delta and beta powers were smoothed with a 20-point <t>gaussian</t> kernel. (B) Average Spearman’s rho correlation between subcortical beta power and cortical delta power for all 4 PD participants across multiple nights in ON ( left ) and in OFF ( right ) stimulation during N2/N3 NREM. Each bar shows average correlation for one participant and each point shows correlation across one night with data pooled from both hemispheres. (C) Scatter plots depicting the correlation between subcortical FP beta (13–31 Hz) power and cortical FP delta (1–4 Hz) power during N2/N3 NREM sleep in 4 PD participants during ON stimulation; STN ( brown and red ), and GPi ( blue, light blue ). Each point represents data from one 5s N2/N3 NREM sleep epoch. Each plot is data from one night pooled from both hemispheres for one participant. (D) Normalized cross-correlation between subcortical beta power and cortical delta power showing the subcortical beta preceding cortical delta activities in PD participants during N2/N3 NREM with ON stimulation. The bar plot ( left ) shows lags in subcortical beta with cortical delta as reference. Each bar shows average lag for one participant and each point shows lag across one night with data pooled from both hemispheres. Example of cross-correlation showing the lag in subcortical beta as a function of time ( right ) in one night from PD2 during ON stimulation. The vertical dashed line shows zero-lag. (E) Interactions between cortical delta and cortical beta activities, examined as a control for cortical delta-subcortical beta during N2/N3 NREM. The bar plot ( left ) shows average Spearman’s rho correlation between cortical delta and beta power for all 4 PD participants across multiple nights, ON stimulation. Each bar shows average correlation for one participant and each point shows correlation across one night with data pooled from both hemispheres. The scatter plots ( middle and right ) show cortical delta and beta power in 4 PD participants during ON stimulation for two representative PD participants. Each point represents data from one 5s N2/N3 NREM sleep epoch.
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    (A) Example of subcortical beta ( purple ) and cortical delta ( green ) power during N2/N3 NREM in a single night from one PD participant (PD3) during ON stimulation depicting the inverse relationship in temporal domain. The delta and beta powers were smoothed with a 20-point <t>gaussian</t> kernel. (B) Average Spearman’s rho correlation between subcortical beta power and cortical delta power for all 4 PD participants across multiple nights in ON ( left ) and in OFF ( right ) stimulation during N2/N3 NREM. Each bar shows average correlation for one participant and each point shows correlation across one night with data pooled from both hemispheres. (C) Scatter plots depicting the correlation between subcortical FP beta (13–31 Hz) power and cortical FP delta (1–4 Hz) power during N2/N3 NREM sleep in 4 PD participants during ON stimulation; STN ( brown and red ), and GPi ( blue, light blue ). Each point represents data from one 5s N2/N3 NREM sleep epoch. Each plot is data from one night pooled from both hemispheres for one participant. (D) Normalized cross-correlation between subcortical beta power and cortical delta power showing the subcortical beta preceding cortical delta activities in PD participants during N2/N3 NREM with ON stimulation. The bar plot ( left ) shows lags in subcortical beta with cortical delta as reference. Each bar shows average lag for one participant and each point shows lag across one night with data pooled from both hemispheres. Example of cross-correlation showing the lag in subcortical beta as a function of time ( right ) in one night from PD2 during ON stimulation. The vertical dashed line shows zero-lag. (E) Interactions between cortical delta and cortical beta activities, examined as a control for cortical delta-subcortical beta during N2/N3 NREM. The bar plot ( left ) shows average Spearman’s rho correlation between cortical delta and beta power for all 4 PD participants across multiple nights, ON stimulation. Each bar shows average correlation for one participant and each point shows correlation across one night with data pooled from both hemispheres. The scatter plots ( middle and right ) show cortical delta and beta power in 4 PD participants during ON stimulation for two representative PD participants. Each point represents data from one 5s N2/N3 NREM sleep epoch.
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    MathWorks Inc svm with gaussian kernels in matlab function fitcecoc
    (A) Example of subcortical beta ( purple ) and cortical delta ( green ) power during N2/N3 NREM in a single night from one PD participant (PD3) during ON stimulation depicting the inverse relationship in temporal domain. The delta and beta powers were smoothed with a 20-point <t>gaussian</t> kernel. (B) Average Spearman’s rho correlation between subcortical beta power and cortical delta power for all 4 PD participants across multiple nights in ON ( left ) and in OFF ( right ) stimulation during N2/N3 NREM. Each bar shows average correlation for one participant and each point shows correlation across one night with data pooled from both hemispheres. (C) Scatter plots depicting the correlation between subcortical FP beta (13–31 Hz) power and cortical FP delta (1–4 Hz) power during N2/N3 NREM sleep in 4 PD participants during ON stimulation; STN ( brown and red ), and GPi ( blue, light blue ). Each point represents data from one 5s N2/N3 NREM sleep epoch. Each plot is data from one night pooled from both hemispheres for one participant. (D) Normalized cross-correlation between subcortical beta power and cortical delta power showing the subcortical beta preceding cortical delta activities in PD participants during N2/N3 NREM with ON stimulation. The bar plot ( left ) shows lags in subcortical beta with cortical delta as reference. Each bar shows average lag for one participant and each point shows lag across one night with data pooled from both hemispheres. Example of cross-correlation showing the lag in subcortical beta as a function of time ( right ) in one night from PD2 during ON stimulation. The vertical dashed line shows zero-lag. (E) Interactions between cortical delta and cortical beta activities, examined as a control for cortical delta-subcortical beta during N2/N3 NREM. The bar plot ( left ) shows average Spearman’s rho correlation between cortical delta and beta power for all 4 PD participants across multiple nights, ON stimulation. Each bar shows average correlation for one participant and each point shows correlation across one night with data pooled from both hemispheres. The scatter plots ( middle and right ) show cortical delta and beta power in 4 PD participants during ON stimulation for two representative PD participants. Each point represents data from one 5s N2/N3 NREM sleep epoch.
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    (A) Example of subcortical beta ( purple ) and cortical delta ( green ) power during N2/N3 NREM in a single night from one PD participant (PD3) during ON stimulation depicting the inverse relationship in temporal domain. The delta and beta powers were smoothed with a 20-point gaussian kernel. (B) Average Spearman’s rho correlation between subcortical beta power and cortical delta power for all 4 PD participants across multiple nights in ON ( left ) and in OFF ( right ) stimulation during N2/N3 NREM. Each bar shows average correlation for one participant and each point shows correlation across one night with data pooled from both hemispheres. (C) Scatter plots depicting the correlation between subcortical FP beta (13–31 Hz) power and cortical FP delta (1–4 Hz) power during N2/N3 NREM sleep in 4 PD participants during ON stimulation; STN ( brown and red ), and GPi ( blue, light blue ). Each point represents data from one 5s N2/N3 NREM sleep epoch. Each plot is data from one night pooled from both hemispheres for one participant. (D) Normalized cross-correlation between subcortical beta power and cortical delta power showing the subcortical beta preceding cortical delta activities in PD participants during N2/N3 NREM with ON stimulation. The bar plot ( left ) shows lags in subcortical beta with cortical delta as reference. Each bar shows average lag for one participant and each point shows lag across one night with data pooled from both hemispheres. Example of cross-correlation showing the lag in subcortical beta as a function of time ( right ) in one night from PD2 during ON stimulation. The vertical dashed line shows zero-lag. (E) Interactions between cortical delta and cortical beta activities, examined as a control for cortical delta-subcortical beta during N2/N3 NREM. The bar plot ( left ) shows average Spearman’s rho correlation between cortical delta and beta power for all 4 PD participants across multiple nights, ON stimulation. Each bar shows average correlation for one participant and each point shows correlation across one night with data pooled from both hemispheres. The scatter plots ( middle and right ) show cortical delta and beta power in 4 PD participants during ON stimulation for two representative PD participants. Each point represents data from one 5s N2/N3 NREM sleep epoch.

    Journal: Research Square

    Article Title: Multi-night cortico-basal recordings reveal mechanisms of NREM slow wave suppression and spontaneous awakenings at high-temporal resolution in Parkinson’s disease

    doi: 10.21203/rs.3.rs-3484527/v1

    Figure Lengend Snippet: (A) Example of subcortical beta ( purple ) and cortical delta ( green ) power during N2/N3 NREM in a single night from one PD participant (PD3) during ON stimulation depicting the inverse relationship in temporal domain. The delta and beta powers were smoothed with a 20-point gaussian kernel. (B) Average Spearman’s rho correlation between subcortical beta power and cortical delta power for all 4 PD participants across multiple nights in ON ( left ) and in OFF ( right ) stimulation during N2/N3 NREM. Each bar shows average correlation for one participant and each point shows correlation across one night with data pooled from both hemispheres. (C) Scatter plots depicting the correlation between subcortical FP beta (13–31 Hz) power and cortical FP delta (1–4 Hz) power during N2/N3 NREM sleep in 4 PD participants during ON stimulation; STN ( brown and red ), and GPi ( blue, light blue ). Each point represents data from one 5s N2/N3 NREM sleep epoch. Each plot is data from one night pooled from both hemispheres for one participant. (D) Normalized cross-correlation between subcortical beta power and cortical delta power showing the subcortical beta preceding cortical delta activities in PD participants during N2/N3 NREM with ON stimulation. The bar plot ( left ) shows lags in subcortical beta with cortical delta as reference. Each bar shows average lag for one participant and each point shows lag across one night with data pooled from both hemispheres. Example of cross-correlation showing the lag in subcortical beta as a function of time ( right ) in one night from PD2 during ON stimulation. The vertical dashed line shows zero-lag. (E) Interactions between cortical delta and cortical beta activities, examined as a control for cortical delta-subcortical beta during N2/N3 NREM. The bar plot ( left ) shows average Spearman’s rho correlation between cortical delta and beta power for all 4 PD participants across multiple nights, ON stimulation. Each bar shows average correlation for one participant and each point shows correlation across one night with data pooled from both hemispheres. The scatter plots ( middle and right ) show cortical delta and beta power in 4 PD participants during ON stimulation for two representative PD participants. Each point represents data from one 5s N2/N3 NREM sleep epoch.

    Article Snippet: For both 30s and 5s epoch windows, individual SVM models (‘fitcsvm’ in Matlab) with Gaussian kernel were trained for each PD participant.

    Techniques: Control