Robustness — Multi-run Stability
Multi-run Stability
Mean activity over time across multiple independent runs. The shaded region represents variance.
Key Observations
- All runs converge to the same trajectory
- Very low variance between runs
- No divergence or instability
- Strong attractor behavior
Interpretation
The system shows strong robustness to random initial conditions. Despite stochastic initialization, all simulations converge toward a stable attractor.
This confirms that the dynamics are not noise-driven, but emerge from intrinsic structural constraints of the model.