Figure 11.

Single cells contain relevant but insufficient dynamical information about the network-level pattern. When a single cell is isolated and its external input, namely the cell activity state, is clamped and simulated for 2000 time-steps (half the time required by the network to converge), then (a) the internal controller nodes converge to states that clearly discriminate between the various clamped inputs. However, (b) the cell properties, namely the cell type, the two gap-junction weights, the self-weights converge to the same values in the respective categories regardless of the clamped input. In both cases, the states were centered at their respective mean values.