behaviour. Once initialised, the data aquisition and processing cycle can be initiated. The initialisation phase is outlined as follows and corresponds to the ‘Start’ block in Fig. \[fig:alg\].

1.  Generate an instance of the CMP model at $\nu = 0.2$ of linear size $L = 200$. Do not create any dysfunctional cells which could generate unexpected re-entrant circuits (i.e. $\delta = 0$).

2.  At a random location in the tissue, insert a single simple re-entrant circuit consisting of two cell strands.

3.  Allow fibrillation to commence and continue until the whole tissue has been reached by the electrical activity from the re-entrant circuit.

After the CMP model is initialised, the data acquisition and processing cycle can be used to generate predictions of the expected location of re-entrant circuits in the tissue. This is illustrated in Fig. \[fig:alg\] and broadly follows the following steps below. As can be seen from the lack of local differentiation in the electrogram feature in Fig. \[fig:FCplot\_STATIONARY\], it is a non-trivial problem whether or not electrogram dynamics can be used to infer the position of re-entrant circuits drivers which motivates the use of a recursive method involving multiple measurements.

4.  At a random location in the 