Ten simple rules for dynamic causal modeling
نویسندگان
چکیده
Dynamic causal modeling (DCM) is a generic Bayesian framework for inferring hidden neuronal states from measurements of brain activity. It provides posterior estimates of neurobiologically interpretable quantities such as the effective strength of synaptic connections among neuronal populations and their context-dependent modulation. DCM is increasingly used in the analysis of a wide range of neuroimaging and electrophysiological data. Given the relative complexity of DCM, compared to conventional analysis techniques, a good knowledge of its theoretical foundations is needed to avoid pitfalls in its application and interpretation of results. By providing good practice recommendations for DCM, in the form of ten simple rules, we hope that this article serves as a helpful tutorial for the growing community of DCM users.
منابع مشابه
Understanding DCM: Ten simple rules for the clinician
Despite almost a decade since the introduction of Dynamic Causal Modelling (DCM), there remains some confusion within the wider neuroimaging, neuroscience and clinical communities as to what DCM studies are probing, and what all the jargon means. We provide ten simple rules, and a theoretical example to gently introduce the reader to the rationale behind DCM analyses, and how one should conside...
متن کاملNew scheduling rules for a dynamic flexible flow line problem with sequence-dependent setup times
In the literature, the application of multi-objective dynamic scheduling problem and simple priority rules are widely studied. Although these rules are not efficient enough due to simplicity and lack of general insight, composite dispatching rules have a very suitable performance because they result from experiments. In this paper, a dynamic flexible flow line problem with sequence-dependent se...
متن کاملNonlinear Dynamic Modeling and Hysteresis Analysis of Aerospace Hydro - dynamical Control Valves
A new procedure for deriving nonlinear mathematical modeling for a specific class of aerospace hydro - mechanical control valves is presented. The effects of friction on the dynamic behavior of these types of valves along with the experimental verifictions are also given. The modeling approach is based on the combination of the following three tasks: decomposition of the valve into simple speci...
متن کاملForcasting Electricity Losses in Transmission and Distribution Grids: System Dynamics Approach Compared to Econometric Method
In this research, the factors affecting on electricity gap were examined in the electricity industry in Iran using the system dynamics approach compared to the econometric method. In the framework of the electricity gap prediction model, simulation of energy demand were investigated as well as its supply and effective factors. Analysis of the problems with these systems was very complicated bec...
متن کامل