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matlab otsuthresh function  (MathWorks Inc)


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    MathWorks Inc matlab otsuthresh function
    Matlab Otsuthresh 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/result/matlab otsuthresh function/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    matlab otsuthresh function - by Bioz Stars, 2026-03
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    (A) Representative fast (left) and slow (right) spiking units, which are putatively inhibitory and excitatory respectively. (B) Histograms showing the units per active channel classified as fast and slow spiking on week 1 (left) and week 12 (right). The broken line represents the threshold identified using <t>otsuthresh</t> as described above. (C) the units per active channel each week classified as fast (blue) and slow (pink) spiking and linear regression for the change of both. There is no statistically significant difference in the rate of decline of either type of unit. (D) the proportion of fast (blue) and slow (pink) spiking units each week.
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    (A) Representative fast (left) and slow (right) spiking units, which are putatively inhibitory and excitatory respectively. (B) Histograms showing the units per active channel classified as fast and slow spiking on week 1 (left) and week 12 (right). The broken line represents the threshold identified using <t>otsuthresh</t> as described above. (C) the units per active channel each week classified as fast (blue) and slow (pink) spiking and linear regression for the change of both. There is no statistically significant difference in the rate of decline of either type of unit. (D) the proportion of fast (blue) and slow (pink) spiking units each week.
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    (A) Representative fast (left) and slow (right) spiking units, which are putatively inhibitory and excitatory respectively. (B) Histograms showing the units per active channel classified as fast and slow spiking on week 1 (left) and week 12 (right). The broken line represents the threshold identified using otsuthresh as described above. (C) the units per active channel each week classified as fast (blue) and slow (pink) spiking and linear regression for the change of both. There is no statistically significant difference in the rate of decline of either type of unit. (D) the proportion of fast (blue) and slow (pink) spiking units each week.

    Journal: bioRxiv

    Article Title: Planar Amorphous Silicon Carbide Microelectrode Arrays for Chronic Recording in Rat Motor Cortex

    doi: 10.1101/2023.11.02.565338

    Figure Lengend Snippet: (A) Representative fast (left) and slow (right) spiking units, which are putatively inhibitory and excitatory respectively. (B) Histograms showing the units per active channel classified as fast and slow spiking on week 1 (left) and week 12 (right). The broken line represents the threshold identified using otsuthresh as described above. (C) the units per active channel each week classified as fast (blue) and slow (pink) spiking and linear regression for the change of both. There is no statistically significant difference in the rate of decline of either type of unit. (D) the proportion of fast (blue) and slow (pink) spiking units each week.

    Article Snippet: This threshold was further validated in this study by analyzing the histogram distribution of spike widths and using the otsuthresh function included in MATLAB, which determines a threshold that can be used to separate a bimodal histogram into two groups (Mathworks, Natick, MA, USA).

    Techniques: