Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

< Back to Article

Measuring Predictability of Autonomous Network Transitions into Bursting Dynamics

Fig 3

Interaction of excitatory and inhibitory networks for varying inhibitory connectivity in networks with deterministic dynamics.

(A) Topology of interacting network of excitatory and inhibitory neurons. Here Pe = 0.15 and inhibitory connectivity changes from local (PI = 0) to random (PI = 1). (B) Excitatory only neurons with Pe = 0.15 when there is no inhibitory feedback. (C) Pi = 0, (D) Pi = 0.2, the local propagating waves in the asynchronous regime are destroyed. (E) Random inhibitory connections (Pi = 1), the firing frequency reduces significantly, while the propagating waves are longer and the synchronous bursting is suppressed. Spike timings used for analysis in this figure is provided as the supplemental data in S9S12 Dataset.

Fig 3

doi: https://doi.org/10.1371/journal.pone.0122225.g003