Beyond its methodological contribution, the study offers new insights into how stimulus-driven variability and internally generated gain fluctuations evolve over time and between brain areas. The ...

To enable more accurate estimation of connectivity, we propose a data-driven and theoretically grounded framework for optimally designing perturbation inputs, based on formulating the neural model as ...

Abstract: In practical multi-train systems, it is not necessary for the desired relative distances between adjacent trains to remain fixed. Instead, trains only need to converge within specific zones, ...