The input of AMUSET-TICA includes the input features 𝒙, the numbers of Gaussian basis for each of the 𝑚 input features ([𝑛 ! , 𝑛 " , … , 𝑛 I ]), the covariance of all Gaussian basis functions 𝜎 (here we use unified 𝜎 .1 = 𝜎 for all Gaussian basis functions to simplify the implementation), the lag time (𝜏), and the rank cutoff (𝑟 9': ). The optimal value of 𝜎 can be determined by systematically scanning its range to identify the model that yields the slowest timescales. To facilitate this process, the initial value of 𝜎 can be estimated from the distances between the centers of the Gaussian basis functions, such as the maximum distance between adjacent Gaussian basis functions. Where within memory limitations, no truncation is performed (𝑟 9': JKL = ∞) to preserve maximum accuracy. In addition, optional auxiliary input features 𝒙 M can be provided for transformation into further CVs. This optional parameter can be ignored if one only needs to check the timescales of the dynamical model.