Readme for the boolCellGrid.m grid class and the boolCell.m class

LAST UPDATE: 12/7/2016

Here are a couple examples to get everybody started, and they're at the top of the boolCellGrid class:

EXAMPLE1 - 
% Create a RBN

a=boolCellGrid('symmetric',4,18,2,.5,1, [], [], []); 
a.update_all(50); 
a.plot_cells;

EXAMPLE2 -
% Store arrays (Initial States, Truth Table, Wiring Nodes) and run the specified parameters

i = a.initStates;
t = a.initTtable;
v = a.initvarF;
b = boolCellGrid('symmetric',4,18,2,.5,1, i, t, v);

EXAMPLE3 -
% Saves movie at FPS = 1/dt.

b.plotCells(true, .5);

EXAMPLE4 - 
% Create a RBN with perturbation (small probability of gene flipping at each iteraiton) and find the Steady State Distribution of each cell.
% Default perturbation (no parameter specfied) is 0.

pert = .2;
a=boolCellGrid('symmetric',4,18,2,.5,1, [], [], [], pert); 
a.update_all(50);
ssDist(a) 

Copy and paste the MATLAB code above to run some examples!

TO DO:

Lypanuov Exponent

Different Communication Function

Diversity

Two nice features:

Each of the cells themselves have properties that can be changed, which can be done in the middle of a simulation

When you run "a.update_all(x)" you update the grid cells for 'x' timesteps and it keeps track of the current time.

Thus we can just 'update_all' for a certain number of steps, change a cell's properties, and continue to simulate