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

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