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cross recurrence plot toolbox for matlab sensors 2025  (MathWorks Inc)


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    MathWorks Inc cross recurrence plot toolbox for matlab sensors 2025
    Cross Recurrence Plot Toolbox For Matlab Sensors 2025, 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/cross+recurrence+plot+matlab+toolbox/pm40096400-84-20-20
    Average 90 stars, based on 1 article reviews
    cross recurrence plot toolbox for matlab sensors 2025 - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    Sequencing:

    Article Title: Stochastic and deterministic dynamics of intrinsically irregular firing in cortical inhibitory interneurons
    Article Snippet: Recurrence plot (RP) analysis (Eckmann et al., 1987) was carried out using the Cross Recurrence Plot (CRP) Matlab toolbox (Marwan et al., 2007).

    Article Title: Stochastic and deterministic dynamics of intrinsically irregular firing in cortical inhibitory interneurons
    Article Snippet: Recurrence plot (RP) analysis ( ) was carried out using the Cross Recurrence Plot (CRP) Matlab toolbox ( ).



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    ( a ) Example cross-recurrence plot for the response to one 30 s current step trial against that of the subsequent trial. Threshold (ε) = σ ISI , embedding dimension m = 4. Each point colored black denotes where sequences of 4 ISIs in each of the two trials were closer than ε to each other. ( b ) random shuffling of both sets of ISIs results in a loss of recurrence (proportion of black points in the matrix) and determinism (fraction of black points within diagonals of length 2 or greater. ( c ) Distribution of the recurrence values (each of which is the mean over 7 successive pairwise comparisons of consecutive 10 s trials during stationary firing) for 1000 shuffled surrogates (each ISI sequence in the <t>CRP</t> is randomly permuted), compared to the actual corresponding measured recurrence level (indicated by vertical dotted gray line) over the same set of trials. ( d ) the same for the determinism (fraction of recurrent points lying within diagonals of length ≥ 2). A z <t>-test</t> <t>(Matlab</t> ztest, right-tailed) confirms that both recurrence (p<7.52e-9) and determinism (p<0.023) are significant in this case. DOI: http://dx.doi.org/10.7554/eLife.16475.007
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    ( a ) Example cross-recurrence plot for the response to one 30 s current step trial against that of the subsequent trial. Threshold (ε) = σ ISI , embedding dimension m = 4. Each point colored black denotes where sequences of 4 ISIs in each of the two trials were closer than ε to each other. ( b ) random shuffling of both sets of ISIs results in a loss of recurrence (proportion of black points in the matrix) and determinism (fraction of black points within diagonals of length 2 or greater. ( c ) Distribution of the recurrence values (each of which is the mean over 7 successive pairwise comparisons of consecutive 10 s trials during stationary firing) for 1000 shuffled surrogates (each ISI sequence in the CRP is randomly permuted), compared to the actual corresponding measured recurrence level (indicated by vertical dotted gray line) over the same set of trials. ( d ) the same for the determinism (fraction of recurrent points lying within diagonals of length ≥ 2). A z -test (Matlab ztest, right-tailed) confirms that both recurrence (p<7.52e-9) and determinism (p<0.023) are significant in this case. DOI: http://dx.doi.org/10.7554/eLife.16475.007

    Journal: eLife

    Article Title: Stochastic and deterministic dynamics of intrinsically irregular firing in cortical inhibitory interneurons

    doi: 10.7554/eLife.16475

    Figure Lengend Snippet: ( a ) Example cross-recurrence plot for the response to one 30 s current step trial against that of the subsequent trial. Threshold (ε) = σ ISI , embedding dimension m = 4. Each point colored black denotes where sequences of 4 ISIs in each of the two trials were closer than ε to each other. ( b ) random shuffling of both sets of ISIs results in a loss of recurrence (proportion of black points in the matrix) and determinism (fraction of black points within diagonals of length 2 or greater. ( c ) Distribution of the recurrence values (each of which is the mean over 7 successive pairwise comparisons of consecutive 10 s trials during stationary firing) for 1000 shuffled surrogates (each ISI sequence in the CRP is randomly permuted), compared to the actual corresponding measured recurrence level (indicated by vertical dotted gray line) over the same set of trials. ( d ) the same for the determinism (fraction of recurrent points lying within diagonals of length ≥ 2). A z -test (Matlab ztest, right-tailed) confirms that both recurrence (p<7.52e-9) and determinism (p<0.023) are significant in this case. DOI: http://dx.doi.org/10.7554/eLife.16475.007

    Article Snippet: Recurrence plot (RP) analysis ( ) was carried out using the Cross Recurrence Plot (CRP) Matlab toolbox ( ).

    Techniques: Sequencing