A game-theoretical framework for uncovering how optimal signal transmission takes place in a given network, here applied to large-scale brain networks.

Signal Flow Graph Solver is a GUI program that represents signal flow graph of different control systems, calculates the overall transfer function and shows it's steps through an interactive user ...

This article introduces S-parameter network flow diagrams and how they may be manipulated to solve real-world problems. Knowledge of network flow diagrams is a prerequisite to interpret the 12-term ...

Block diagrams and signal-flow graphs are used to represent and to obtain the transfer function of interconnected systems. The reduction of signal-flow graphs is considered simpler than the reduction ...

We compare the hemodynamics predicted by the bond graph formulation of the cerebral circulation with that given by a classical one-dimensional Navier-Stokes model working on top of the whole-body ADAN ...

In this work a method called “signal flow graph (SFG)” is presented. A signal-flow graph describes a system by its signal flow by directed and weighted graph; the signals are applied to nodes and ...

Flow experience was measured using the Flow Short Scale to evaluate the physiological signal measures. The scale has been shown to be a reliable measuring instrument (Engeser and Rheinberg, 2008; ...

This Python tool allows you to draw signal-flow graphs, calculate transfer functions (SymPy code is generated for further use in Jupyter notebooks), do graph manipulations (e.g., node elimination and ...

In order to determine the speed-flow relationship at signal intersections, the speed and time-headway of vehicles at two signal intersections were investigated and the accuracy of software used to get ...