How single neuron properties shape chaotic dynamics and signal transmission in random neural networks
Fig 6
Effect of a strong oscillatory input.
a: SNR at the driving frequency fI as a function of the driving frequency, for different values of the signal amplitude AI. As AI increases, nonlinear interaction between signal and noise become stronger, leading to a qualitative change in the SNR profile. b: Total power of the chaotic (black dashed) and oscillatory (light blue) components of the power spectrum, in the case of strong input (AI = 1.5). For both panels, γ = 0.25, β = 1.0, and g = 2gc(γ, β).