iSTTC: A robust method for accurate estimation of intrinsic neural timescales from single-unit recordings
Fig 6
iSTTC allows for the inclusion of more units than PearsonR.
(A) Bar plot displaying the percentage of excluded units across four methods. Color codes for the exclusion reason, with dark grey indicating failed exponential fits and light grey indicating negative R-squared values of the exponential fit (n = 23348 excluded fits across four methods, n = 248 excluded fits ACF, n = 238 excluded fits iSTTC, n = 16594 excluded fits PearsonR, n = 6268 excluded fits iSTTC (trials)). (B) Kernel density plot displaying the distribution of excluded units as a function of firing rate (left), excitation strength (middle), and IT (right) (n = 4469 units both methods failed, n = 12125 units only PearsonR, n = 1799 units only iSTTC). (C) Violin plot displaying REE values for exponential fits where the autocorrelation function declined (vs. not declined) in the 50–200 ms range (left), and for fits where the 95% confidence interval of the estimated IT included vs. excluded zero (middle) (n = 376652 fits across four methods). Line plot displaying predicted REE values as a function of R-squared (right) (n = 376652 fits across four methods). Shaded areas represent 95% confidence intervals. Y-axes are plotted on a scale. (D) Bar plots displaying the percentage of units with autocorrelation function decline in the 50–200 ms range (left, n = 291395 fits across four methods), and the percentage of units with 95% confidence intervals excluding zero (right, n = 253595 fits across four methods), across four methods. (E) Kernel density plot displaying the distribution of R-squared values (left), and bar plot displaying the percentage of units with R-squared
across four methods (right, n = 287967 fits across four methods). In (C), left and middle, data are presented as median, 25th, 75th percentile, and interquartile range, with the shaded area representing the probability density distribution of the variable. In (C), asterisks indicate a significant effect of the factor on REE. ***
. Generalized linear models (C).