Topic: drift-diffusion modeling

To adjust behavior during goal-directed behaviors, the dynamic management of updating and preserving information in working memory (WM) is essential, which is probably accomplished by a WM “gating mechanism”. However, the neural implementation of this mechanism remains an outstanding subject. To capture neural network dynamics underlying mechanisms supporting a dynamic regulation of WM gate opening and closing, the current study used computational behavioral drift-diffusion modeling (DDM) in conjunction with assessments of effective connectivities (nCREANN) in theta, alpha, and beta frequency