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Phase-locking patterns underlying effective communication in exact firing rate models of neural networks

Fig 5

Effect of an identical frequency distractor in the network entrained by the primary stimulus.

(A) Schematic representation of an E-I cortical neural network (PING interplay) receiving two oscillatory inputs from different sources: the primary input A1p1(t) (green circle) and the distractor one A2p2(t) (red circle). (B) Rotation numbers ρ of the stroboscopic map (9) for a perturbation consisting of a primary input and a distractor. Both inputs are modeled by means of a von Mises distribution, have the same amplitude factor A1 = A2 = 0.1 and the same period T = T1 = T2 but phase-shifted. The coherence for the primary is fixed at κ1 = 2. We vary the distractor coherence κ2 (x-axis) and the period T, so that the values T/T* (color legend) are distributed along the 1:1 plateau for κ1 = 2 (the oscillator and the primary stimulus support a 1:1 phase-locking relationship). If ρ = 1, the entrainment by the primary stimulus is preserved despite the presence of the distractor, otherwise, it breaks down.

Fig 5

doi: https://doi.org/10.1371/journal.pcbi.1009342.g005