Figure 4—figure supplement 2.

Correlated noise increases the error of Granger causality analysis for synthetic data generated by VAR dynamics.

Correlated noise increases the error of Granger causality analysis, exemplified by synthetic data generated by VAR dynamics and corrupted by a system-wide shared noise for N = 10 neurons and T = 4000 time points, with connection strength c = 0.1265. (A) Example traces for VAR dynamics added with shared noise with increasing strength. (B) The error of GC analysis increases as the amplitude of the shared noise increases. Error bars are standard deviation across 10 random simulated trajectories of the same network, each corrupted by adding a realization of randomly generated noise.

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Acknowledgments
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