All the analysis code for my research is open-source, you can find them at my GitHub. Sorry for the messiness of the earlier papers, I am getting better at this in each paper.

In addition, I am the author of the software package IntrinsicTimescales.jl. This is a Julia package to compute Intrinsic Neural Timescales (INTs) from electrophysiological data. It supports autocorrelation based methods (fitting an exponential decay, calculating the lag where ACF crosses a threshold, the area under the curve of the ACF), power spectrum based methods (based on the knee frequency of the PSD, see Gao et al., 2020), and Bayesian methods (inspired by Zeraati et al., 2022). Like all open-source software, it is care-labor: the point of it is to give freedom to other researchers so that they can pursue their own research questions while not worrying about the nitty-gritty details of the software. If you are interested, you can see the documentation for more details.