No BSD License  

Highlights from
Random Boolean Network Toolbox

• assocNeighbours(node, connect... ASSOCNEIGHBOURS Set the array "input" in the NODE structure-array according to the
• assocRules(node,rulesMatrix) ASSOCRULES Set the array "rule" in the NODE structure-array according to the network's
• averageConnectivity(node) AVERAGECONNECTIVITY Calculate average network connectivity.
• bnKav(n, kavdesired) BNKAV Generate network with N nodes and at average KAV incoming connections per node.
• bsn(n, k, optionString) BSN Build and show network.
• connectivityDistribution(node... CONNECTIVITYDISTRIBUTION Calculate and display the network's connectivity distribution.
• countTransitionsPerNode(tsm) COUNTTRANSITIONSPERNODE Count number of changes of a node through evolution.
• displayEvolution(node, k, mod... DISPLAYEVOLUTION Calculate and visualize evolution of NODE over K discrete time steps according to MODE update scheme
• displayNodeStats(node,tsm) DISPLAYNODESTATS Visualize node statistics (number of updates / nb of state-transitions).
• displayTimeStateMatrix(tsm,va... DISPLAYTIMESTATEMATRIX Visualize Time-State-Matrix.
• displayTopology(node, connect... DISPLAYTOPOLOGY Visualize network topology, set xy-components and "ouput" field in node structure-array.
• entropy(rulesMatrix) ENTROPY Calculate the entropy of the system. Indicator for the diversity of the rules in the network.
• evolveARBN(node, varargin) EVOLVEARBN Develop network gradually K discrete time-steps according to ARBN (Asynchronous
• evolveCRBN(node, varargin) EVOLVECRBN Develop network gradually K discrete time-steps according to CRBN (Classical
• evolveDARBN(node, varargin) EVOLVEDARBN Develop network gradually K discrete time-steps according to DARBN (Deterministic
• evolveDGARBN(node, varargin) EVOLVEDGARBN Develop network gradually K discrete time steps according to DGARBN (Deterministic
• evolveGARBN(node, varargin) EVOLVEGARBN Develop network gradually K discrete time steps according to GARBN (Generalized
• evolveTopology(node, mode, tS... EVOLVETOPOLOGY Evolve and display topology according to algorithm described by Christof Teuscher and Eduardo Sanchez
• findAttractor(varargin) FINDATTRACTOR Return attractor length and states in attractor.
• frozenComp(kMax, n, r, step ,... FROZENCOMP Visualize frozen components graph.
• getStateVector(node) GETSTATEVECTOR Return the states of the nodes in NODE as row vector.
• initConnections(varargin) INITCONNECTIONS Generate N x N adjacent matrix with K incoming connections per node.
• initNodes(n, varargin) INITNODES Generate structure-array containing node-state information.
• initRules(varargin) INITRULES Generate a 2^k x n or 2^kMax x n matrix containing logic transition
• resetNodeStats(node) RESETNODESTATS Reset all variables of the node structure which are involved in statistical evaluation to zero.
• saveFigure(figure, varargin) SAVEFIGURE Save a figure to the current directory in two formats (*.fig and *.eps).
• saveMatrix(matrix, varargin) SAVEMATRIX Save a matrix to the current directory.
• scalingLaw(n, mode, tSteps, r... SCALINGLAW Visualize Scaling Law.
• setLUTLines(node, varargin) SETLUTLINES Updates the "lineNumber" field of the NODE structure-array.
• setNodeNextState(node) SETNODENEXTSTATE Look up next state for each node and update "nextState" field of the NODE
• x(~out); end;
• View all files