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 is part of the TechXchange: Vector Network Analyzers. This is the second in a multi-part series of articles on vector network analysis. Part 1 introduced the VNA, how such instruments ...

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 propose a detailed CellML model of the human cerebral circulation that runs faster than real time on a desktop computer and is designed for use in clinical settings when the speed of response is ...

Friedrich-Alexander-University Erlangen-Nuremberg, Chair of Reliable Circuits and Systems Paul-Gordan, Erlangen, Germany. There are various methods in the circuit technology to ca1culate transfer ...

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 ...

Speed-flow relationship is the fundamental for the traffic simulation and traffic volume forecast. Traditional quadratic polynomial model can’t reflect the saturate flow at signal intersections. In ...